Highly Competitive - software industry insights

Symbiosis: Customer Experience and Business Process

Companies continue to struggle with prioritizing the Customer over their business-as-usual, ingrained product and self-focused strategies.  Upper management in many industries seem to be dragging their feet when challenged to quickly and energetically change business practices to better serve customers. These leaders seem to look at the “Customer” as if it were an abstract representation of a value on a spreadsheet -- instead of probably the single most important factor for most businesses.

Now from the customer perspective, which is what upper management should have as top priority, interactions with most companies are becoming more and more a multi-channel journey of multiple touch points that are used to communicate, gain information, compare vendor offerings, seek assistance, make purchases, register complaints, and so on. If companies meet the needs of customers, then those experience journeys will repeat over customer-preferred channels. Multi-channel strategies for customer engagement are imperative because customers are more and more the ones who choose how they will interact with companies and on which channels.

On the flip side, customers don’t see their interactions in terms of “channels” -- just like customers don’t care how or why a company’s business processes fail to provide an overall positive experience with the company. Customers see that they did or did not have a successful interaction and that they did or did not achieve what they wanted. The outcomes of these interactions influence how customers regard companies and whether they will continue doing business with them.

Once a company has made a commitment to becoming customer-focused for its business strategies and operations, there is work to be done:  integration of channels, integration of business processes, and integration of data from customer interactions all become imperative. Integration of channels leads to understanding of touch points in individual channels as well as cross-channel. Aligning business process integration with the customer leads to creating single customer experiences across the enterprise and across communication channels. Integration of interaction data with operational data provides a more complete view of the customer in real time. Individual department and program goals across the enterprise must be also integrated and related to customer experience excellence.

Business processes must become a dynamic, intelligent and highly integrated interface for company interactions internally and externally. Most internal systems in companies should incorporate factors like customer experience and engagement, rather than functioning solely from a product, service or departmental perspective. Processes play a key role in bringing these factors together to achieve customer focus and relevance. Integration internal to the organization means cross-functional / cross-department teams to envision and implement customer strategies, translated into business processes that holistically connect the enterprise.

 

Symbiosis, Integration

Like symbiotic relationships in nature, business-customer symbiosis is founded on the belief that customer goals and business goals can be aligned in ways advantageous to both parties. The relationship that a company has with its customers affects almost every area of the business and every point of interaction with the customer, internally and externally. That’s why effective business processes are so important to enable top-notch customer experiences.

For mutual benefit, the focus for all business processes shifts to customers to embrace what they want from companies, how they view companies and how they want to work with them. Agile business processes connect all parts of the enterprise to the individual points and stages of the customer experience journey. Business processes also encompass other enterprise practices and strategies. Business-customer symbiosis can ensure the integration of both perspectives to the benefit of both parties. Business process ties directly to desired business outcomes – which now must align with customer desired outcomes.

 

Data Fuels Process and the Customer Experience

Happily, companies have a lot of data sources to help them gain insights into their current and potential customers through analytics, real conversations, social media content, customer service interactions.

Data, information and intelligence are the fuel for effective business processes that support and promote successful customer experiences and interactions. By considering business processes and business information in parallel to customer-focused strategies and initiatives, business outcomes are likely to improve.

Customer interactions produce an escalating amount of data related to internal systems such as CRM and call center management, and related to external sites such as corporate websites and social venues. Significant issues impact the ability of enterprises to correlate all the data into the so-called “single view” of the customer:

• Social media data that is primarily content and crucially dependent on context for meaning
• Company-controlled data sources that do not easily reveal customer process or outcomes
• Complexity of integrations needed to bring all this disparate data together
• Pulling data together to reflect the customer perspective rather than the internal systems architecture

Data directly related to customer-focused processes is likely to get closer to providing the elusive customer “single view” where an integrated process spans multiple interactions, touch points, transactions, and systems. The right data fueling processes is an important part of designing innovative business strategies that truly focus on the customer. Deriving timely customer insights benefit the strategic and operational aspects of an enterprise. However, a good many customer interactions or touch points are increasingly shorter-lived due to the proliferation of digital channels and their use by customers. The opportunity for enterprises to meet customer desires and needs is becoming shorter for each interaction and increasingly difficult to capture, analyze and understand.

 

Business Process Management Meets Customer

 Business process management (BPM) can no longer be solely focused on achieving operational efficiency and optimizing the business. Business processes must become more responsive to a focus on the customer, and become well-integrated across multiple systems to do so. BPM is crucial to customer-oriented systems as well as operational systems, and actually provides an essential piece to integrating these systems in order to better serve customer needs. Business processes are key to an agile holistic business strategy that helps customers achieve success with the company’s products and services. An interesting development in BPM is adaptive case management (ACM) that may be leading the way to greater convergence with customer systems such as CRM and call center applications.

An important aspect of BPM is continuous improvement, something that must happen for enterprises to respond to ever-changing markets and customer desires. To bring about customer-focused continuous change, enterprises need to articulate vision for strategies and initiatives from the customer perspective; and then tie process improvement to the customer experience. Working with customer data and analyses, enterprises may benefit from analyzing the ‘reverse engineering’ of outcomes expected by different customer segments, and then use insights to define how the enterprise should operate across process, organization, and technology domains to deliver optimal customer experiences and success.

Enterprises that allow separate solution and process silos for each channel to persist will greatly impede responsiveness to customers and will add to customer frustration by failing to provide one experience across channels. These enterprises probably did not start with a customer experience strategy and likely developed and/or acquired solutions specific only to individual channels without heeding the need for seamless integration of processes.

 

Business Process and Customer Experience Management Technology

Responsive and accurate support for customer interactions through people, processes and practices is a cornerstone of the management that enterprises can apply to enabling positive customer experiences. Enterprises must recognize that ‘management’ doesn’t mean controlling and dictating to the customer what the ‘experience’ will be. It does mean managing how well the enterprise provides a single experience across channels, how well it fulfills the needs and desires of customers based on customer terms, and even how well it delivers high quality products and services.

BPM can be instrumental for designing and maintaining effective and agile processes that are a sophisticated means to respond well to customer needs, while navigating many complex variables moving from customer to customer. Well-designed and customer-oriented processes make a big difference when integrating touch points for a ‘single view’ of customer interactions.

In the 2011 Forrester Wave for Web Content Management for Online Customer Experience, Stephen Powers defines customer experience management (CXM or CEM) software solutions as:

A set of solutions which enable the management and delivery of dynamic, targeted, consistent content, offers, products, and service interactions across digitally enabled consumer touchpoints. Previously, organizations, processes, and technologies to serve the online channels were silo’d, resulting in overhead, inconsistent experiences, and inability to measure results. However, as online initiatives have evolved and matured, so have product offerings to support those initiatives.

Three categories of solutions comprise online CXM: those based on process, delivery, and measurement:

Process-based solutions enable business users to create experiences. Process-based solutions consist of tools that business users (as opposed to IT users) use to create and manage structured and unstructured content for customer experiences. This category includes WCM, digital asset management (DAM), eCommerce, customer relationship management (CRM), marketing campaign management, marketing resource management, desktop publishing tools (such as Microsoft Word), and interactive development environments (IDEs).

Delivery solutions bring interactive experiences to customers. Vendors often tightly couple both WCM and eCommerce solutions with native delivery tiers, enabling businesses to create content and design and deliver experiences in a single package. But other technologies enable experience delivery, including rules- or algorithm-based content targeting solutions like search, personalization, and recommendations engines; marketing automation solutions such as campaign management and offer management; and customer service interaction management solutions that support customer data and history, customer self-service, knowledge management, and customer feedback management.

Customer intelligence solutions enable businesses to gauge the success of experiences. A/B and multivariate testing enable marketers and business users to test out variations of experiences on certain demographics before rolling them out to a broader audience. Web analytics tools give insight into how consumers consume content and interact with experiences. Social analytics provide insight into how consumers engage with companies by monitoring social interactions. 

 

Source: BP Trends

 

 

Process Alignment: Voice of the Customer Meets Voice of the Business 

Enterprises are accustomed to setting success metrics through KPIs related only to internal business process performance and internally-defined business outcomes. Unfortunately these metrics are frequently out-of-synch with customer perceptions of how well the enterprise met their expectations. Enterprise and customer metrics can be mismatched in other aspects of the customer experience:

 For instance the business may define the process cycle time – the length of time the process takes to run – as measured from when the customer places the order to when the products are dispatched. The customer, on the other hand, may well perceive the time taken to be from when they first went on to the website to look for a product, to the point at which the product started working. Clearly there can be a substantial difference between the two measures. 

Ideally we want to ensure that our measures of process effectiveness (the Voice of the Process) are the same as the customer’s measures (the Voice of the Customer), albeit the customer’s measures are informal measures. 

 

Source: BP Trends

 

Juxtaposing customer and enterprise views of process, experience and success through customer journey diagrams will reveal the disconnects between enterprise perceptions and what customers are likely experiencing. Enterprises are still working on finding more ways to capture the actual customer experience since true direct insight is not easily attained. Insight is pieced together with data from many sources including customer surveys, content from social sites, repeat business with the same customer, customer transactions, and interactions with customer service.

 

Symbiosis at the Heart of the Enterprise

Enterprises continue to be challenged to deliver positive customer experiences that are mutually beneficial and crafted from the customer perspective. Instead of designing business processes integrated with a customer experience strategy, many companies just tack on aspects of monitoring customer interactions to existing processes. For many companies, the main focus is still on their own needs, their own problems to be solved by the business process. And frequently when enterprises say they are customer-focused, they really mean they are trying to engineer upsells and cross-sells for their own benefit, without necessarily delivering real value to the customer.

As I continue to emphasize in much that I write, technology alone is never sufficient: enterprises need integrated and agile processes that also recognize the importance of people and practices to achieve goals and positive business outcomes. To become a truly customer-focused organization that enables customer experience excellence, the entire enterprise must be part of the overall experience:

• Starting with Upper management: choose Customer as The strategic focus
• Enable and empower customer-focused people in every part of the enterprise
• Design processes that are flexible enough to change with dynamic markets and customer needs
• Draw on innovative information systems to fuel business processes and provide continuous customer insights for fostering customer experience excellence

Keeping the focus on customer outcomes will help align people, processes, practices, and technology to the continuous changes needed to facilitate optimal customer experiences over time. Neither customer experience excellence nor well-integrated business processes should be after- thoughts for business execution – they are the symbiotic heart of success.

 

 

Related Links:

In Pursuit of Customer Experience Excellence

Information, Intelligence and Process:  Combining Forces to Better Answer Business Needs

The Ever-Expanding Importance of Analytics–True Intelligence for Business

Goals and Metrics – Measuring Customer Engagement on the Web

Achieving the Social Business, Inside and Out

Findability Inside The Firewall – Still Trying To Find The Information We Need

 

About the author: Julie Hunt is an accomplished software industry analyst, providing strategic market and competitive insights. Her 25+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services

Ungoverned Spaces: Innovating Information Flow

 

Agile Governance to Ensure that Reliable Information is Available Anywhere Anytime

  

A good many companies now have Information functions in the Cloud, for a variety of reasons. There is the purposeful selection of cloud services for the usage and management of data, content, records and documents – in other words, Information – that supplements or replaces systems inside the firewall. There is also the proliferation of data and content – more Information – created in many cloud-based sites not under the control of companies. But companies want and need all of this Information -- and also need energetic ways to govern all of this Information as it flows in and out of the spaces used by enterprises.

Going with the notion that for most enterprises knowledge is power, information-led business innovation and competitiveness is becoming a recognized path for potential success. In parallel, services in the cloud are talked about more and more as enablers of innovation, as an agile, dynamic and cost-effective environment for new business direction and experimentation.

With so much information created anywhere-anytime, information governance has a vital purpose: ensuring the flow of reliable information to the right people at the right time. This can also mean reducing former barriers and changing processes, to make more of this information and data are available to more people in the enterprise, sometimes including partners and customers. What should be emphasized is governance that aligns with how information is used in the enterprise, so that governance also connects to business value and corporate strategic goals.

So when we’re talking about innovating information governance, we’re no longer in a vacuum or in a silo, off somewhere in that “information department” – we’re talking about the entire enterprise of integrated business processes and management infrastructure, running on-premises, in the Cloud, and in between. Everyone in the enterprise has to be on board, from top to bottom, across teams, internally and externally, working in concert to enact effective information governance.

  

Priming Information Flow – Anywhere Anytime

There is no doubt that most companies must extend their information strategies to capitalize on highly relevant information that is continuously created in the cloud.  Strong information governance policies and practices must realistically enable the flow of information to continuously bring information to the enterprise -- to improve decision-making, to better understand current and desired customers, improve competitiveness, and support all significant goals and strategies in the enterprise. Information Governance can be a vital part of the ‘framework’ for business agility, responsiveness to competitive pressures, support for new product and services directions, and innovation shepherding.

Enterprises need to break free of old perceptions and implementations of information governance where silos and disconnectedness dominate, and where governance has been viewed as difficult, esoteric, and somebody else’s problem. Companies generally have not taken a holistic view of business information governance, its impacts across end-to-end processes or business units, or the technologies to support it. Instead enterprises have treated information as islands within specific system silos, and have taken the same approach to its governance. Information Governance overwhelms many – many get lost in the details.

If information has become essential to corporate success, then Information Governance must become part of a company’s overall business strategy.  An upper management team, comprised of cross-departmental members, has to set the high level ‘culture’ to enable agile Information Governance:  a corporate ‘infrastructure’ of cross-team collaboration, an enterprise-wide commitment to levels of excellence when connecting with and serving customers, recognition that content from social sites matters, the dynamic means to process all potentially useful data and content no matter the source, and the ability to provide on-demand data and analytics ready for any device.

Individual responsibilities for different components of Information Governance can be segmented to include most groups in the enterprise and to enhance accountability. Services-oriented Information Governance may be an optimal approach with partnerships across teams to enable governance functions and processes. Legal and financial teams could take key responsibility for risk management and compliance, as well as retention policies and practices. IT teams can take on key responsibilities for security, storage, resource provisioning, and user access. It is also now the responsibility of enterprise users of information to understand, partake in and help enforce policies and practices for security, information quality, delegated access, sharing, and so on – these responsibilities are no longer “somebody else’s problem”.

 

    Creating Information Advantage in a Cloudy World

 

Detours For Information Anywhere Anytime

Not surprisingly, persistent issues for Information Governance and Management are mostly the same, whether the repositories are in the cloud, on-premises, or in a hybrid flow based on the two:

 

• No clear holistic strategy for governance of distributed information sources
• Prolific growth of information sources and systems
• Need for extensive integration between information sources, often existing as silos
• Synchronizations to eliminate redundancies and to update with most current information
• Unreliable quality of information, content, data
• Timeliness of information
• Fragmentation that will block information flow and devalue assets

The creation of content and data in cloud repositories has added complexity to ownership and the chain of custody. Enterprises that strongly manage complex chains of information ownership and usage, both internally and externally, will help corporate goals and achieve advantage from all information assets.

Companies must take on the responsibility of monitoring vendors of cloud services to ensure that the vendor is meeting SLA provisions for security, privacy, backup and so on. This monitoring falls both to business users and IT groups. But companies must also develop comprehensive Information Governance plans to supplement what cloud service vendors provide. Companies are liable for proper information governance regardless of where the repositories sit. Business users as well as IT teams must understand the implications of “anywhere anytime” information flows.

 

            IBM: Enabling Multifaceted Innovation

 

Cloud Inspires Governance Innovation

Innovation often relates to finding new ideas and / or applying existing ideas in new ways to bring about beneficial change that affects many aspects of what an enterprise does. Innovation is not limited to the products and services in an enterprise, but also can be applied to business model and strategy, operations, employee and partner enablement.

Again, enterprises need to break out of seeing governance only in terms of risk containment and security (which are important) to also see how it can be a means to innovation. Governance is valuable for setting up policies and practices to guide information usage but it can also provide scope for experimentation and value creation through the orchestrated flow of information to and from many sources. Governance is evolving to handle the challenges of data in the cloud – extending information governance to cloud sources can also help innovate how governance is done. This is a new challenge for teams across the enterprise to work differently and creatively when governing vital information that must constantly flow, while ensuring that the enterprise meets reliability, compliance and risk requirements. Making accountability a distributed function across the enterprise extends the value of information governance and takes it out of its usual silo.

Timely, reliable information in the right hands is more essential as business cycles shorten and become more competitive, and as customer perspective and buy-in become more important. Information created in the cloud along with cloud services comprise a new platform for quickly sharing data and content that matters to the enterprise. “Working the problem” of information governance from the focus of ensuring the open flow of reliable information to be used by many teams in the enterprise anywhere-anytime is a positive move into innovation that will make a difference.

  

Related Links:

Information, Intelligence and Process:  Combining Forces to Better Answer Business Needs

The Ever-Expanding Importance of Analytics–True Intelligence for Business

Goals and Metrics – Measuring Customer Engagement on the Web

Findability Inside The Firewall – Still Trying To Find The Information We Need

The incongruous worlds of “data integration” – Making data accessible for any-size companies

Custom Code or Data Integration software tools: Strategic Use of Technology for Company Competitiveness

Shallow Thinking Ensures Bad Business Decisions

Connecting Data Governance to Business Outcomes That Matter

Data Management: Reaching into the Cloud

 

About the author: Julie Hunt is a software industry solution strategist and analyst, providing market and competitive insights. Her 25+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services    

 

 

‘Big Data’, Intelligence and Multi-faceted Innovation

 

I’m using this diagram (below) in two posts – this one and one to be published shortly. Why? The impact of what this diagram is communicating is big, and affects many aspects of enterprises that want to innovate, to be competitive, to grow, to stick around for a long while. So it deserves the extra exposure.

While the use case for this example of multi-faceted innovation is Consumer Products industry, all industries have a stake here, especially as more and more technology offerings are becoming “consumerized”, and as cloud services and mobile usage for business grow. Multi-faceted innovation has great potential to transform enterprises into agile social businesses.

 

 

IBM: Enabling Multifaceted Innovation 

 

More teams in enterprises need access to more data, information, content, and many kinds of analytics to better perform their functions, to find more ways for the business to deliver what customers want, to be more competitive, more responsive in volatile economic times and in dynamic markets. Reliable, relevant information delivered at the right time impacts how strategies and goals are realized, how innovative a company can be, or even how long a company will be around. Information does no good if it languishes in silos, whether in the cloud or behind the firewall. Sophisticated and business-oriented technologies are needed to process information from diverse distributed sources, to analyze it, and then share the results for further refinement or even disputation.

The enterprise that has truly implemented multi-faceted innovation in as many aspects of its business as is appropriate is more likely to understand how important it is to tap into as many information assets as possible, whether they are ‘owned’ by the enterprise or sitting in cloud repositories for social sites. Information-driven insights are a significant aspect of multi-faceted innovation in the enterprise.

 

Business and InformationTechnology

Early in October I had the opportunity to attend an event sponsored by the Teradata Partners User Group (TDPUG). Teradata Corp. is a global vendor of software solutions for data management and governance, data warehouse capabilities, and for a wide array of analytics offerings. Obviously user group presentations usually show the positives of using vendor offering. But beyond that, the presenters usually talk fairly honestly about how they accomplished work for their companies that made a difference. The presenters are usually the hands-on people who know the ins and outs of their projects, as well as the impact on the business.

Part of my focus at the TDPUG conference – or Partners, as many call it – was attending business-oriented sessions (rather than technical deep dives) that might help with the following: 

“Big Data’ is a major topic for Teradata, and for recent acquisition Aster Data (‘big data’ analytics).  So I wanted to see how end users are able to connect highly varied and frequently complex Data to business outcomes that matter and to innovation.

Looking at processes working with data and analytics: are enterprises combining Business, Technology, Analytical, Creative, Collaborative activities to lead to good results for the business? If yes, how are they doing this? 

New directions for Teradata: how is the company changing from promoting its offerings mostly to very tech infrastructure-oriented target markets to adding strategic focus on the impacts of BI and analytics on business goals and needs – and how is Teradata connecting to roles related to the purpose of the business itself?

From the user presentations and those from Teradata: what kinds of roles are emerging, in biz and tech, that will make a difference for enterprises when it comes to data / information and analytics? 

  

A Case in Point: Strategy, Innovation and ‘Big Data’

A few sessions showed how to connect a strategic competitive intelligence core to analytical processes. A session with Vodafone (España) revealed a model for deriving real value from ‘big data’ that feeds into processes for competitive strategies that lead to innovating consumer products and business outcomes.  Instead of falling into the trap of “battling” competitors in feature-function wars, Vodafone shows that companies should be on top of what their current and desired customers want and need.  Otherwise, the risk is falling hopelessly behind customer expectations for new and important changes in the market and products that address this market.

Vodafone bills itself as ‘customer-obsessed’ and in the highly competitive mobile phone business the company has to be. The strategic Competitive Intelligence (CI) group at Vodafone works with continuous analytical processes to feed intelligence into differentiation and competitive edge – from the customer perspective. Vodafone sees a lot of opportunity in understanding distinct customer segments and from quickly providing what each segment wants and needs. Many Vodafone target markets are highly volatile, so daily data updates and analyses are de rigueur to derive “next best actions” for Vodafone to take. Decision-making results from a convergence of analytics and intelligence in key areas: sales, marketing, competitive landscape – but revolving around deeply understanding each customer segment. This Vodafone CI approach illustrates the great payoff when business data silos are eliminated to achieve real integrated intelligence, leading to effective product and business innovation.

The Vodafone session also epitomizes many of the Partners stories: when considering ‘big data’ analytic processes, the focus is not just the data itself, but what it’s used for. The data must be reliable, timely, right sources and integrations. Vodafone ‘big data’ analysis means many sources, high volume, fast intelligence leading to fast actions, and a daily reiteration of it all. Complex EDW and analytics infrastructure are aligned to business strategy and important outcomes, with a twist: the game changes constantly.

An additional layer is the continuous re-analysis of methodologies for competitive and market intelligence processes, and of the validity of selected data sources, as well as context and the inclusion of new factors. To keep the intelligence efforts relevant, the dance steps are: change, iterate, stay agile (while knowing their competitors are likely taking similar actions as happens in highly commoditized markets).

What Vodafone is accomplishing with its market and competitive intelligence core is a move to derive from an “unexpected” and innovative use of analytics the sorts of offerings that should be made available to target customers.  A new perspective on what should be the significant issues for target customers is essential to capture customer interest.  Competitive and market intelligence can also be leveraged to ensure that the customer’s perspective is maintained as a “reality check”. It’s an ongoing sense of the impact of what could be uncovered, the ramifications of what even the smallest pieces of information could mean for the company.  It ensures that business decisions and product direction are market-driven, reality-based, and actionable.

  

Information Technology Underpins Multi-faceted Innovation

When people think about what Teradata offers, most think of a very intense technology infrastructure. But Teradata and its new acquisitions, Aster and Aprimo seem to be working hard to make clear to the business users of an enterprise how that tech infrastructure connects well to what the business needs to accomplish in every part of the enterprise. These ideas were found in many of the Partners sessions:   

Every business session that I attended continued to emphasize people (roles), process, practices -- and positioned tech in context of serving the first three – very focused on real business outcomes

Real collaboration permeated the projects described in the sessions – not called out as such but well exhibited in descriptions of what was done and why – shared passion for getting real things done in effective ways, teams working cross-departmentally

Natural collaboration happens mostly in enterprises where the company ‘culture’ is open to cross-team collaboration and working to effective goals

Purposeful and constant communication across teams is very important for the success of the projects presented

Sessions drove home that data is only valuable in context – context that is comprised of many aspects of the business and how the data is to be used

It is more and more essential for people to take time to understand their data sources and the data itself, before trying to use it, before integrating it and so on >> certainly before analyzing it and using it for decision-making

The need for excellent information flow, reliable data, accurate analytics permeates every group in the enterprise, and can help these groups find more ways to innovate internal activities, as well as innovating products and services, and relationships with customers and partners

  

Multi-faceted innovation is the basis for transforming companies into innovative, dynamic and social businesses. Most companies focus innovation activities on products and services, and on finding new markets. But to survive and thrive, companies need a strategic multi-faceted commitment to innovating throughout the enterprise, how it does business, and how it interacts with customers, employees and partners. Once such a commitment is in the works, enterprises then need to understand how information technologies play significant roles for the success of multi-faceted innovation.

  

Related Links:

Information, Intelligence and Process:  Combining Forces to Better Answer Business Needs

The Ever-Expanding Importance of Analytics–True Intelligence for Business

Goals and Metrics – Measuring Customer Engagement on the Web

The incongruous worlds of “data integration” – Making data accessible for any-size companies

Custom Code or Data Integration software tools: Strategic Use of Technology for Company Competitiveness

Levels of Social – and Integration – Cut Across Enterprises 

Market Intelligence – Making Better Business Decisions at the Core of the Company

Shallow Thinking Ensures Bad Business Decisions

Software companies still fail to tap into top benefits from market & competitive intelligence programs

Connecting Data Governance to Business Outcomes That Matter

Data Management: Reaching into the Cloud

 

Disclaimer: Teradata Magazine sponsored my attendance at TDPUG, since I am doing some consulting with them.

About the author: Julie Hunt is a software industry solution strategist and analyst, providing market and competitive insights. Her 25+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services    

 

Connecting Data Governance to Business Outcomes That Matter

Originally published on Hub Designs Magazine September 2011

 

Process-centric initiatives are often optimal approaches for the things that companies want to accomplish. Business processes make it possible to directly connect work to business outcomes that lend themselves to various metrics that provide clarity for business performance. On the other hand, data and data-oriented solutions, by themselves, don’t usually map directly to business outcomes, and as such, usually can’t be measured by value contributed to desired outcomes and achievement of key corporate goals. But -- business processes and data are inextricably bound together. Processes create, modify and consume data – one might even say processes live and breathe data. It is through business processes that data can be mapped to business value.

Companies generally have not taken a holistic view of business information, technologies to improve it, or its impacts across end-to-end processes or businesses, instead treating data as information islands within specific system silos.

Kalido, The State of Data Governance Maturity 2011   

 

Notions like “Big Data” and “Information as an Asset” have stimulated thinking in many enterprises about extracting more value from the data already in enterprise repositories to benefit the business and its goals. But to extract that value from data, it’s not about the data nor is it about data governance. The key focus should be the business processes that impact revenue, business agility, competitiveness, and overall positive performance. However:  both reliable data and effective data governance are key enablers of gaining value from business processes.

Data governance is an important strategy both to maintain data in its most usable condition and to ensure consistency in how processes work effectively across the enterprise, by sustaining the quality, accessibility and relevance of data used by processes. Instead of many silo’d processes working on silo’d data, data governance contributes greatly to connecting essential pieces to synch significant business processes to the bigger enterprise strategic picture.

Martin Atherton on data governance as an enabler of business value:   

For many companies, it is common to focus on the minimum standards required to achieve compliance, instead of seeking to incrementally expand the effort and reap the benefits of being compliant more broadly across the business. In a previous research note, we used the phrase ‘value driven compliance’ to highlight the difference between approaching regulatory compliance as a chore versus seeing it as a business enabler.

 

Some of the difficulty of transitioning how enterprises derive value from business processes (and the data running through them) is the fact that most data-related initiatives have been driven by IT instead of by more business-oriented roles. To enable better business outcomes, data governance needs to bring business roles and IT teams together, as well as incorporating the support of various levels of management and strategic decision-makers. Too many times, data governance has not been implemented strategically. Instead it has been marooned by ad hoc decisions and “policies” tied more to daily operational situations. Without involving data governance in key corporate strategies, enterprises are not in good position to handle internal data issues, let alone address the ever-growing proliferation data from many new sources inside and outside the enterprise.

Ross Dawson expands on the notion of “governance as an enabler”: 

Governance should focus as much on enabling innovation and taking useful risks as about managing and mitigating risk...What needs to happen is that governance, risk, and compliance become part of the process of creating business value...More generally, I think it is important to note that IT governance and corporate governance have long been treated as separate. As I pointed out in my keynote this morning, technology – including in data management – is increasingly central to corporate strategy.

 

With good commitment from management, business units and IT teams alike, data governance initiatives are a very good way to manage data more effectively for greatly improved use in business processes. Data governance should provide the means to coordinate efficient and non-redundant business processes, along with the necessary data assets, across the enterprise, between lines of business. From data governance coordination, standards for reliable data and optimized business processes can be implemented, maintained and changed as needed. Data governance is also an enabler of acquiring important insights into both data and business processes.

 In my interactions with Forrester clients, I get the sense that data governance is receiving the most senior-management-level attention today than I've seen throughout my 18+ year data management career.

Rob Karel, Forrester

 

Tangible Value

Data alone carries no value. Unusable and poorly managed data carries no value. Real cost savings obviously result when data sources are streamlined and cleaned up, when processes are more responsive to business needs. Great value can result when business intelligence and other processes are based on the right data that can be trusted to lead to decisions that are more accurate and timely. The tangible benefits and value of data governance and data are further revealed through their connections to business processes and the desired outcomes from those processes that connect to corporate strategies and goals.

  

Related Links

Data Management: Reaching into the Cloud

Information, Intelligence and Process:  Combining Forces to Better Answer Business Needs

The Ever-Expanding Importance of Analytics–True Intelligence for Business

Goals and Metrics – Measuring Customer Engagement on the Web

The incongruous worlds of “data integration” – Making data accessible for any-size companies

Custom Code or Data Integration software tools: Strategic Use of Technology for Company Competitiveness

Levels of Social – and Integration – Cut Across Enterprises 

 

About the author: Julie Hunt is a software industry solution strategist and analyst, providing market and competitive insights. Her 25+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services   

 

 

 

Data Management: Reaching into the Cloud

Originally published on Hub Designs Magazine August 2011

 

In a form of “shadow IT”, Line-of-Business groups have been turning to cloud-based services to quickly set up technology solutions that support their business needs and objectives. IT teams are already carrying heavy workloads with ever-shrinking staffing levels, and frequently don’t have the resources to immediately respond to time-sensitive LOB needs. However without IT involvement, these LOB groups do not usually have the expertise to understand the implications of creating data in the cloud and its relationship not only to data in other SaaS / cloud offerings, but to on-premises systems as well. These business users need a partnership with IT to ensure that comprehensive data management processes are put into practice.

It’s clear that enterprises will continue to increase usage of cloud and SaaS offerings to find new ways to operate more competitively and efficiently. Unfortunately the rapid creation and adoption of cloud and SaaS services have led to increased data silos in the cloud. The same challenges that enterprises face for on-premises data management obviously apply to data repositories in the cloud: data quality and reliability, integration, governance, security and compliance, MDM, as well as improved data accessibility. There is now a bigger picture for data management, where all of these domains need governance as an interoperating whole.

If enterprises fail to address a rigorous data management strategy for cloud computing initiatives, deterioration in data quality and reliability of cloud data are likely to kick in quickly. Data that cannot be trusted nor aligned with enterprise datasets will destroy the value and cost savings that enterprises want from cloud services. One of the most important requirements of business data generated through cloud services is security for that data. Not all data created in the cloud requires security, but most of it does. Comprehensive data management policies are needed in the cloud as well as for on-premises data repositories to ensure secure data processes.

The concerns of both business users and IT regarding data in the cloud have been articulated in many surveys including one recently completed by IDC where issues that relate directly to data governance and MDM initiatives covered security, data integration, operational costs and compliance – all pretty much to be expected when considering management strategies for cloud data. The IDC study goes on to discuss an important point that again requires IT and LOB groups working together: Business Relevance.

The next two challenges – the perceived difficulty of cloud services integration, and the limited ability to customize – are both related to the important issue of business relevance.  While customers certainly enjoy the economic and operational benefits of the off-the-shelf, standardized nature of many cloud services, this survey shows they nonetheless want greater ability to “fit” cloud services more tightly into the context of their specific business.

MDM and data governance provide clear value when they reflect the actual activities and processes of the enterprise. This approach also makes it easier for corporate decision-makers to understand the role MDM and data governance play to support strategic goals and even how they might map (at the high level) to key business processes. Malcolm Chisholm and Fabio Corzo flesh out these ideas in The True Role of MDM: The importance of master data is not just data values or quality, but the real-life concepts they represent… We are looking for fundamental business transformation that will take the business into new ways of perceiving, understanding and developing customers, employees, suppliers, assets and securities. We are looking for business transformation that moves in line with the business goals. And though executives understand that data is at the heart of proper and well-executed business transformation, experience tells us that more often than not, the business transformation is limited to improved data quality side effects that fail to realize the true value of an MDM program. The above concepts become even more imperative when establishing management of data-driven business processes between the cloud and on-premises systems. There will need to be an evolution of data management and governance approaches to deal with new challenges that come from data in the cloud and from an integrated approach to managing data across disparate data domains, many of which are not owned by the enterprise. Cloud services have been very effective in converting (or commoditizing) IT practices through well-formed repeatable processes. To accommodate proper data management for cloud and on-premises solutions, IT and business users will need to work together to build out data management solutions through practices and technologies that support the creation, use and storage of data “anywhere anytime”. Both IT and Business are important to setting the right strategies, including the crafting of a data management architecture that will kick in before an enterprise’s cloud data becomes too distributed for thorough governance. While more and more data will be owned by non-enterprise entities in the cloud, the ownership of comprehensive data management processes and practices continues to fall squarely on the enterprise through business users and IT working to ensure reliable data availability.     Related Links The incongruous worlds of “data integration” – Making data accessible for any-size companies Custom Code or Data Integration software tools: Strategic Use of Technology for Company Competitiveness Levels of Social – and Integration – Cut Across Enterprises  Information, Intelligence and Process:  Combining Forces to Better Answer Business Needs The Ever-Expanding Importance of Analytics–True Intelligence for Business Goals and Metrics – Measuring Customer Engagement on the Web     About the author: Julie Hunt is a software industry analyst, providing strategic market and competitive insights for vendors and buyers. Her 25+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services

Information, Intelligence and Process: Combining Forces to Better Answer Business Needs

Originally published as a 4-part series on Hub Designs Magazine May 2011

Data governance can be seen as formalized policies, practices and processes set up to manage voluminous data assets across enterprises. Data governance also sits on an important growing convergence that encompasses multiple, and frequently separate, disciplines: data quality / data integration, master data management (MDM), business process management (BPM), business intelligence (BI) and analytics. The solutions surrounding the management of information, data and intelligence are emerging from artificial silos to acknowledge the greater overlap and interrelationships of these technologies and practices. Deliberate initiatives to tighten up the convergence of these solution spaces will not only improve the better overall functioning of all of these solutions but will help both IT and Business users see how it all works together. A greatly beneficial result should be the elimination of duplicate demands on business users and IT for implementing and managing these systems.

Forrester’s Rob Karel on aligning Business Process and Data Governance Initiatives:

Data governance is not – and should never have been – about the data.

High-quality and trustworthy data sitting in some repository somewhere does not in fact increase revenue, reduce risk, improve operational efficiencies, or strategically differentiate any organization from its competitors. It’s only when this trusted data can be delivered and consumed within the most critical business processes and decisions that run your business that these business outcomes can become reality.

So what is data governance all about? It’s all about business process, of course.

Let’s add this note to Karel’s assessment: business process is about optimizing the Business.

The current state of the increasing interrelationships between Data Governance, MDM, BPM, BI / Analytics (as well as DQ, DI) is also the story of the teaming up of Business users and IT as collaborative partners in doing the work that help businesses meet strategic goals, bring value to company customers, add to competitiveness. Both sides of the story must start with the business problems and the jobs to be done, plus the desired outcomes and benefits. Then decisions must be made regarding the role to be played by the software solutions to be implemented. Starting with the business also encourages the exploration and creation of the specific business cases that reflect needs and requirements. With such business cases defined, monitoring outcomes of data governance, BPM, BI, etc., should have clear basis.

While business processes are a major focus for strategies around data governance, BI and BPM, data still retains a significant role as a strategic asset that enterprises can use to differentiate themselves. These two entities (process and data) must be accorded respect when developing interrelated approaches that incorporate all of these solutions. Just as these solutions are best in synch with one another, so must the enterprise itself work with these solutions across departments and diverse teams. For business and intelligence processes to yield useful, timely and accurate results, the underlying data must be trustworthy.

Knocking down the Silos

Data, information and content permeate most enterprises where business users must become much more directly involved in creating the overall solution for handling these vital resources. Business users usually hold the key to the context for data and processes, as well as future usage considerations. The integrated components of MDM / data governance, BI / analytics, and BPM need to deliver real results to business users but are also highly dependent on participation of business users to reflect reality and provide on-target solutions. True collaboration between Business and IT teams starts with requirements, results, procedures, and then leads to collaborative work on joint projects. Such collaboration fosters reuse, reduces duplication of effort and processes, and builds a network of Business and IT staff that is aligned with how systems support key business objectives, initiatives and future direction.

Commonality also crosses the business drivers for data governance, MDM, BI, and BPM where key benefit areas consist of growing revenue, cost efficiency, different levels of agility, and compliance. Efforts should provide improvements for:

• Faster, more accurate decision-making - real-time intelligence
• Identifying and engendering new markets, new products, new customers
• Enhancing and supporting customer relationships / customer service
• Operational procedures
• Customer cross-selling / up-selling
• Ease of compliance, audits, risk management

Rajan Chandras, Data Gaps Plague Process Initiatives:

For one, the genesis of these types of initiatives is often very different. BPM is undertaken when organizations find themselves beset with process shortcomings, and with the primary purpose of better understanding, improving and integrating business processes. Data governance initiatives, on the other hand, are usually justified by shortcomings in data quality, consistency and integrity.

Then, data governance is often closely intertwined with master data management, and thus organized alongside important "master" business data entities -- customer, product, organization and such.

That said, Rob Karel, Forrester analyst and lead author of the report, suggests that IT must learn how to better educate and evangelize data issues in a language and a context that matters to the business -- a responsibility that Karel puts squarely on IT, "because IT often has a more cross-enterprise view than siloed business units and functions."

For data governance and process governance efforts to be successful, they both (business and IT) must frame their priorities and business value in the context of which business processes they are aiming to improve, transform and optimize, says Karel.

From Forrester study, September 2010

Source:http://alteryx.com/How-Alteryx-Performs/Pages/White-Papers/Forrester-Report-on-BI-Platform-Requirements.aspx

Intelligence, People and Process

MDM is a reflection of how an enterprise uses data, information – and content - for business purposes. The creation and management of master data touches more than the information itself. By creating data repositories and processes that reflect business functions, enterprises should develop access to the information that is so necessary to effectively and efficiently achieve business goals. It’s extremely important to analyze, manage and provide access to all forms of information – structured and semi-structured data, as well as “unstructured” content.

For BI and analytics solutions to provide real intelligence, they must be based on accurate and timely data sources. BI outputs are based on data aggregations, until recently, from structured data in data warehouses, with delivery in report or dashboard form to enterprise users. Analytics add the dimension of mathematics and formulas, with variants addressing forecasting and prediction.

Neil Raden responds to the ebizQ question: How does master data management change BI?:

…to describe how organizations collect data as part of a process, but manage to make it infinitely more valuable by using it for other purposes.

What does this have to do with BI and MDM? In our research, we have found that most knowledge workers shun BI for two reasons (not performance or ease-of-use): relevance and understanding. MDM adds nothing to address these concerns because its representational framework, a relational schema, is inadequate. It's a representation of a model. An ontology is a model. Until MDM rejects the relational model as its underlying schema, it will be unable to add the rich meaning, relationships and even reasoning that an ontology can do.

So, the point is, if you're going to go to the massive effort and expense of an MDM solution, take some advice from 21 years ago…Make the data useful for people, not just governors and black belts.

One newer area of interest for BI / analytics solutions is the inclusion of collaborative activities to add contextual and qualitative layers to the output of BI processes. To achieve authentic intelligence, contextual / qualitative layers can provide a strong basis to test, fine tune and filter the artifacts of analytics. Analytics can benefit greatly from human filters that bring experience, knowledge, creative thinking. Context has a big role here: context for sources, context for outcomes, context for usage with other data points, to achieve the optimal Intelligence for “making better business decisions”.

The possibilities for new applications of analytics increase with collaboration. Inviting in many-to-many interactions also opens up processes to new ideas from participants. Gartner found that social venues and collaboration help to track and capture outcomes of the decisions made based on BI / analytics:

Gartner's user surveys show that improved decision making is the key driver of BI purchases. However, most BI deployments emphasize information delivery and analysis to support fact-based decision making, but fail to link BI content with the decision itself, the decision outcome, or with the related collaboration and other decision inputs. This makes it impossible to capture decision-making best practices. Solutions are emerging that tie BI with social software and collaborative tools for higher-quality, more transparent decisions that will increase the value derived from BI applications.

With convergence, employees in the enterprise should operate more effectively, where improved data governance/MDM lead to better BI, where collaborative processes also enhance and validate BI, where a collaboration setting for BPM works to deliver more of the information that the enterprise needs. A possible approach to marrying collaboration, data and intelligence to business processes, and, more importantly, to the way people work, can be seen in Tibco’s re-work of tibbr. Dennis Howlett provides this description of tibbr:

It intelligently marries people, process and context, delivering information the way people want to consume

Tibco connects tibbr to business processes and event-triggering that are then exposed in tibbr for taking action. While tibbr is built more for real-time information streams than archives of content and information, tibbr and Tibco have created a platform with a lot of potential for improving overall information findability that adheres to context and worker roles. It connects to process, people/workers, collaboration venues, data and information streams, centralizing all event streams into one dashboard. Information can be organized by subject or topic, rather than by people. tibbr enables users to create, contribute to, and subscribe to the real-time event streams that matter most to them.

Convergence Clarifies Benefits and Value

In a recent Gartner report covering predictions for data integration and MDM:

Through 2015, 66% of organizations that initiate an MDM program will struggle to demonstrate the business value of it.

It’s probably not a stretch to extend this “struggle for value” to BPM and BI / analytics. But through the convergence of MDM with BI / analytics and BPM, an analyst like Sandy Kemsley sees increased business value, in this Loraine Lawson interview:

Lawson: It's become more important with MDM to identify pain points and a real business case. Yet MDM is still pretty IT-centered. Does connecting it to BPM allow it to be more business-focused as a project?

Kemsley: Absolutely – connecting it to BPM, and also connecting it to business intelligence and analytics, because that's one of the things that many business users are interacting directly with analytics, whether it's just simple reporting or dashboards or a more complex, drill-down. You can get better analytics if you have consistent data models and those consistent data models are going to be helped by MDM, that's one of the key business benefits. When you want to have a report that gathers data from a number of different systems, it's not going to be some huge, big, long project because somebody has to figure out what data maps onto what other data. It's going to be a much more straightforward thing because while the data may not all be in one place, at least it will be in a consistent format so that you can easily bring it together.

 

Individually these solutions can achieve some value and success for an enterprise, but at the cost of much duplicated effort and resources. In convergence, with initiatives for business improvement and better decision-making, an integration of BI/analytics, BPM, data governance and MDM has definite synergistic outcomes that can greatly increase business value and reduce wasted effort. Integrating business insights into process execution will significantly improve the quality of decisions and lead to continuous process optimization. And process events kicking off BI and analytics for real-time decision-making increases beneficial outcomes.

All of these solutions should be about solving frequently complex business problems and supporting the work to be done in the enterprise. Each solution brings a significant piece of the “big picture”: better decisions for the business with reliable data feeding both intelligence and process. Ultimately the biggest payoff is how this convergence feeds directly into business agility and continuous change to constantly fine tune sustainable competitiveness.

Related Links

The Ever-Expanding Importance of Analytics–True Intelligence for Business

Goals and Metrics – Measuring Customer Engagement on the Web

I have a confession to make: I am a Hybrid

Findability Inside The Firewall – Still Trying To Find The Information We Need

About the author: Julie Hunt is an accomplished software industry analyst, providing strategic market and competitive insights. Her 20+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing. Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services

 

IT + Marketing: Innovation Through Collaboration in B2B Software Companies

 

I’ve read a lot of articles and posts that have discussed various aspects of the uneasy relationship (in many cases) between IT groups and Marketing groups. The people and process side of this ongoing situation puts me in mind of the obstacles and needs for the adoption of a collaboration culture in software companies. For the purpose of this article, collaboration means: talking to each other, listening to each other, analyzing and planning in concert, presence of mutual respect – no silos, no turf wars. Good intent, good communication -- bi-directional and legitimate. The kind of enterprise collaboration where teams work together for common cause: business success, growth, innovation, getting the work done well.

Whether it’s dubbed “IT working with Marketing”, or “Enterprise Collaboration”, upper management has the same responsibility to encourage and sponsor all types of necessary and differentiating collaboration to achieve business goals in ways that are better, faster, and smoother. Unfortunately for many software companies, upper management is not stepping up to enable and empower useful collaborations, particularly cross-departmental. Upper management in this context means CEO, CFO, COO -- all too often, the CIO and the CMO are not accorded power over the decisions coming from these other roles.

 Ben Horowitz on the ‘Innovation Business’:

The technology business is fundamentally the innovation business. Etymologically, the word technology means “a better way of doing things.” As a result, innovation is the core competency for technology companies. Technology companies are born because they create a better way of doing things. Eventually, someone else will come up with a better way. Therefore, if a technology company ceases to innovate, it will die.

Collaboration frequently is a very good way for software company teams to not only work for company success, but to better innovate. Innovation in software companies should not only be about products and solutions; it should be about how the company itself works as a thriving and growing organism, how it empowers staff to be successful on the company’s behalf.

  

Neither IT Nor Marketing Is A Monolithic Being Calling Its Own Shots…

Contrary to popular belief, the “modern” IT group did not spring up fully formed as an autonomous entity that makes decisions in a vacuum. Obviously an exaggeration, but I think a lot of people have this notion in the back of their minds when considering the role of IT. With a startup, the IT team may be more focused on digital infrastructure: hardware, telephony, internet, internal systems. As the company grows and different kinds of employees are added, IT grows too. If the software company IPOs, then the IT group is heavily involved in compliance, security, ensuring always-on performance, and so on. Internal systems may become more complex and numerous, employees more virtual, hardware and infrastructure demands more sophisticated.

Frequently the result is that IT groups become silo’d, but usually not by their own design. Upper management sets the agenda for IT groups and usually holds responsibility for the positioning of IT as separate from the rest of the company.  In recent years, most IT groups have suffered through significant staff cuts while more has been piled on the remaining staff. Upper management then expects instant change from IT to better support the business -- without sufficient resources – and particularly without a strong collaboration culture in place.

Marketing groups are in the same boat as IT regarding who decides their destinies. Software companies in startup mode have a history of adding Marketing functions in haphazard fashion. Many startups still look at “marketing” as something to slap on when the sales team needs more help finding buyers. The reality is that for most software companies, Marketing is an important component of the Business, just as IT is.  But too often, upper management misses the strategic opportunities to do it right – to build teams working together, instead of separately and frequently in conflict.

 

Strategy, Business and Tech

IT has been the target over past several years in companies that rightfully want IT to be more aligned with the strategic needs of the business. IT has received black marks for not moving quickly, not feeding innovation, and so on. Balance this criticism of IT with the reality that upper management usually has a big hand in the current state of IT affairs.

Eric Brown frequently addresses the future of IT with a strong dose of reality:

What’s missing in most of the articles I’ve run across about reinventing IT or changing IT is the effect the Business has had on IT. You can’t really reinvent or change something unless you know the how and why behind the creation of that entity in the first place.

…at the end of the year, the grades are handed out.  Sometimes IT fails. Sometimes IT over-achieves. …most times, IT gets a barely passing grade.

Is this barely passing grade (or failing grade) due to incompetence or mismanagement? Most times it’s not…most times it’s due to changing priorities that aren’t clearly thought through and/or communicated throughout the organization

 And who creates the constantly changing priorities? Upper management.

Harvard Business Review also weighs in on the future of IT:

The authority and responsibility for IT-enabled business outcomes needs to be aligned. The CIO's dilemma…is the challenge of promoting innovation while increasing efficiency. IT is in the untenable position of being held responsible for this even though their business partners control the decisions that impact their ability to do so.

IT governance is really business governance. In many organizations, IT has led the way in implementing governance over critical decisions related to strategy, business architecture, investments, change, programs, risk and sourcing. Over time, organizations have realized that decisions in these areas need to be coordinated across the enterprise and have elevated and consolidated these activities outside and above IT.

This isn't your grandmother's technology. "Technologies for collaboration, business intelligence, and customer interface all require experimentation and iteration" and a hands-on relationship between workers and their technology. Increasingly, the technology necessary to assemble, deploy and operate technology will be provisioned by external providers freeing up internal IT resources to focus on the meaty issues of coaching users on how to exploit the technology and ensure horizontal integration, security, continuity, and performance across the extended enterprise.

 

Marketing + IT  <>  Business + Tech

For many B2B software companies, Customers are now Buyers, many of whom want to drive the relationship and buying cycle, moving sharply away from the former sales-team-focused cycles. The customer experience with the company has gained importance; many company-centric processes must give over to processes with a strong customer focus. Both Marketing and IT have important roles in customer engagement, with marketing technology growing in sophistication and variety. But in most companies the IT group carries the additional responsibility of working with multiple disparate internal constituencies, with priorities determined by project portfolio management, internal politics, and by decisions from upper management.

When IT resources are not easily available to support time-sensitive initiatives, marketing groups have frequently implemented their own technology solutions as a form of Shadow IT. New approaches to effective customer engagement lean heavily on cloud/SaaS based technologies that are fast to set up and use by non-IT staff. Unfortunately a significant side effect of not including the IT group has led to problems: new data silos, separate operations and analytics – lack of integration with other systems in the company.

As cited in a recent post by Cheryl Burgess, the current and frequent state of finger-pointing and lack of mutual respect between IT and Marketing is summed up by Chris Murphy of  InformationWeek:

IT sees marketing as looking for shortcuts, shortcuts that will come back to bite the organization. Marketing, meanwhile, sees IT slowing them down, not delivering on the operational basics, and not understanding marketing needs.

Burgess also points to an Accenture-sponsored study involving over 300 CMO’s and 300 CIO’s that presented this view of Marketing + IT:

The CMO Council believes there is a global imperative for marketing and IT organizations, which too often have been polarized and adversarial, to find common ground around the business of innovating more efficient, effective and measurable ways to target, acquire and stay intimately connected to customers. The need for greater synchronization, partnership and collaboration between these two groups has never been more critical to their mutual success.

 

The Marketing Technologist: Success More Likely With IT and Marketing In Collaboration

Frequently, companies gain better paths to innovation, collaboration and competitiveness with the presence of business-technology hybrids who span departments and leverage cross-team expertise. The demands of innovation, meeting customer needs, and rapidly changing solution markets are challenging software companies to work much more quickly and collaboratively than ever before.

An important hybrid is the marketing technologist. Scott Brinker has published an extensive and well-crafted piece on the rise of the marketing technologist, describing “technology-powered marketing” where “Marketing must take ownership of the technology in its domain”. Some of Brinker’s observations on the marketing technologist hybrid:

As marketers, you're already responsible for the outcomes based on such technology. The accountability so widely promoted in digital marketing has you in the hot seat for results. It's only sensible that you should have full control over the means and mechanisms to deliver those results.

You must be the driver of marketing technology, not merely a concerned passenger. But if you don't have technical depth, who can help you navigate? …I propose a new role in the marketing department: a marketing CTO or chief marketing technologist. The mission of the marketing CTO is to provide that technology navigation.

 Brinker makes the case for highly functional collaborations between IT and Marketing:

..technology decisions and marketing strategy are intertwined. You can't address one without impacting the other.

 Brinker also profiles the ‘3 Spheres of Marketing Technology’: “All these technologies — the ones we buy, the ones we build upon — can be categorized into three overlapping spheres”:

                    

                    

 

Customer-Focused / Technology-Driven Marketing: Attract More Buyers

In 2008, Booz & Company published its view of the growing integration of marketing strategies with technology, “Not Your Typical Marketing Campaign – The Next Wave of Technology-Driven Marketing”:

Next-generation direct marketing demands a front-to-back rethink of the overall IT architecture, with the ultimate goal of better understanding the customer... In the past, each channel would feed customer information individually into the back-end customer relationship management (CRM) and enterprise resource planning (ERP) systems that processed transactions and held much of the customer data. Using the new architecture, all of those channels now connect to a central integrated engine. This engine, available throughout the network, mediates between channels and the customer data and back-end processing. The central campaign engine also contains the business rules that govern every interaction with every customer.

The single most critical innovation, however, lies in doing away with the typical siloed, channel-specific archi­tecture on which most current direct marketing and campaigning technol­ogy depends. No customer-centric marketing effort can be truly success­ful if the technology is still organized around interaction channels, rather than those all-important customers who naturally interact with the busi­ness through multiple channels.

Each step of the way will require the willingness to rethink your overall marketing strategy, the tactical processes by which you plan and carry out each campaign, and the IT tools you need. You must develop the skills required to design and execute analytic campaigns and, of course, you will need to build the technologies to enable those cam­paigns.

 Most important, from begin­ning to end, the CIO and the CMO must work together as partners to design, build, and test the necessary infrastructure, and to expand it, step by step, throughout your company.

 

Marketing Technology + IT: Marketing ERP?

Looking at the transition from channel silos to a more integrated marketing technology platform brings up the notion of Marketing “ERP” to provision, manage and analyze initiatives supported by marketing tech. Egbert Hendriks @ephendriks introduces this notion (whether seriously or tongue-in-cheek) in a recent exchange on Twitter with Kevin Cochrane @kevinc2003:

@ephendriks RT @niels_goossen: Why Marketing Should Run Its Own Technology -- InformationWeek http://bit.ly/dRaLSs

@phendriks: I agree- marketing is becoming a technology-driven discipline. #wcm #dam #vms #bpms integrate in a marketing "ERP"!

@kevinc2003: @ephendriks what do you see as being a marketing "ERP"? Interested in your perspective / insights

 

From the Booz & Company paper:  the diagram to the right below could suggest a path to a Marketing ERP platform. Also be sure to note the transition from channel silos on left, to a more integrated marketing technology platform on right.

 

 
 
http://www.booz.com/global/home/what_we_think/reports_and_white_papers/ic-display/47189813

 

Indeed, marketing has been increasingly technology-driven, relying on marketing management platforms, analytics (multiple), various software systems for content (WCM, WEM, DAM), BPM, VMS (vertical marketing system), social media, lead gen, mobile/multichannel management. We could also throw in MDM, CRM, data/application integration processes, other reporting.

BUT – at this point, the answer to building out highly effective marketing technology systems incorporating the best of Marketing and IT is not found in throwing more tech at the situation. Nor is creating a new software category going to help.

A better approach is the enablement and empowerment of IT and Marketing working as true collaborative partners, where upper management fully supports the elimination of silos and frees up IT to work on strategic initiatives. Software companies still have lots of people and process matters to figure out first. Innovate how the company works together as teams with common purpose. Collaboration culture can lead to and encourage innovation culture, both of which can lead to business success and competitive agility.

 

  

Related Links

I have a confession to make:  I am a Hybrid

Internal Disruption–No Longer Business As Usual

Levels of Social – and Integration – Cut Across Enterprises

Shallow Thinking Ensures Bad Business Decisions

 

About the author: Julie Hunt is an accomplished software industry analyst, providing strategic market and competitive insights. Her 20+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services

 

 

Internal Disruption – No Longer Business As Usual

Tapping into periodic business model renovation to refresh competitiveness

 

Not too long ago, a tweet from Hutch Carpenter @bhc3 caught my eye:

First step in disrupting an industry: identify the "business clichés"

The tweet linked to an article by Luke Williams, known for his work on ‘disruptive thinking’ for transforming businesses through seeking the unexpected and through adopting proactive disruptive behavior and strategies. The article elaborates on what is meant by business clichés:

In other words, what are the clichés - the widespread, hackneyed beliefs that govern the way people think about and do business in a particular space… inverting or denying industry clichés can often lead to significant business breakthroughs

Williams’ notions of ‘business clichés led to a couple of tweets from me that boil down to:

…apply internally to tech co’s biz model > question assumptions, status quo, disrupt business as usual…to move to new possibilities, competitiveness, new solutions & markets

As with the Social Business, starting internally with change frequently is a better route for companies when faced with the need to disrupt current business models for survival and success purposes. Software companies are especially prone to stand on old business models well past the expiration date. And many software companies are surprised when strong competitors emerge, based on fresh business models.

  

What is a Business Model?

Business models focus software companies on target markets, customers, the solution space and, somewhat indirectly, the competitive landscape, the same matrix that underpins market intelligence. When companies seriously embrace the selection of a business model, the process introduces good and rigorous strategic thinking into decisions about company direction, as well as definition of company scope. Through the business model, the focus is holistic and interactive in terms of how the company will proceed to achieve success.

Of course there are many definitions and concepts about what comprises a business model. A lot of MBA school, entrepreneurial, and VC hours have been spent on not only deciding what is the optimal business model for a particular undertaking but on the strategies to carry out its intentions.

  

The shortest definition that I’ve come across is in a post by Tim Berry: A business model is a description of how your business intends to operate and make money. Berry then goes to the next level:   

But innovative business models go beyond this simple formula to create customer loyalty, make value in unusual ways, and define new products or services that people didn’t know they needed.  

This dovetails somewhat with a business model definition put together by IBM:

• What value is delivered to customers: Customer segments, the value proposition, the specific “job to be done,” what is sold and how it is sold

• How revenue is generated: the pricing model and forms of monetization

• How the company positions itself in the industry: the company’s role and relationships across the value chain

• How the value is delivered: Key internal resources and processes as well as external partnerships.

There is lots of disagreement, lots of vague notions regarding whether business models matter or not.  Some consider the business model almost a sacred object, carved in stone. More and more, many see each iteration of the business model as disposable. A new class of thinking sees the business model not as an end but an ever-evolving means to success as a company.

 

Articulating New Direction - Most Companies Not Very Good At Doing This

Intriguing idea: the disposable business model. But how many companies pull off such an approach?

From my experience in the software industry, not many. Particularly bad at changing direction are mid-sized software vendors that are publicly traded. While being a smaller company would suggest agility for change, often these companies are ham-strung by boards of directors who seem to want growth without risk. There is no growth without risk for most companies. One piece of advice to mid-sized software vendors is to never go public and thus retain a healthy ability to reinvent the company without the inertia of boards of directors and Wall Street expectations. Another piece of advice: learn to embrace risk: that is, the good kind that can lead to growth and new success.

But no matter the size of the company, many software vendors usually wait too long before assessing the health of the current business model and even then, are slow to articulate change, even slower to act effectively. As a result, core markets increasingly stagnate, management still tries to work with the old way of doing things, and fails to work genuinely on a new business model, or as Williams advises, to identify and then deny the business clichés that are dragging down the company.

In 2008 Mark W. Johnson, Clayton M. Christensen, and Henning Kagermann published the article “Reinventing Your Business Model” in the Harvard Business Review, an article that went on to receive second-place honors for the 2008 McKinsey Award. The article culminates research into the difficulties many companies have with pulling off success through business model innovation. The authors contend that these companies have such poor understanding of the current business model (really disturbing! but explains a lot…) that they can’t relate the current model to new opportunities, nor can they be confident about ejecting the current model for something new.

(Clay Christensen) also underscores the fatal flaw that managers make when trying to reinvent their business in the face of a disruptive competitor. Their solution is often to leverage what the company already has in place at marginal cost rather build an entirely new business model with heavy investment.

If you are trying to create a new business model because the world is changing, then you don’t want to leverage what is already in place. An entrant doesn’t have anything to leverage, so just creates what needs to be created.

 

When It’s Time For Reinvention

A 2005 survey by the Economist Intelligence Unit reported that over 50% of executives believe business model innovation will become even more important for success than product or service innovation. A 2008 IBM survey of corporate CEOs echoed these results. Nearly all of the CEOs polled reported the need to adapt their business models; more than two-thirds said that extensive changes were required. And in these tough economic times, some CEOs are already looking to business model innovation to address permanent shifts in their market landscapes.

 

Insanity: doing the same thing over and over and expecting different results 

-- Albert Einstein

  

Of course, there’s no point to changing the business model if the company isn’t innovating its software offerings, which must come about by “disrupting business as usual” internal to the company. Not all product innovation demands a reinvention of the business model. Perhaps the salient question is: how does this new innovation impact the proposition articulated for customer value? Companies that find success with business model reinvention also possess clear understanding of their customers and the value to those customers that comes from innovations.

Identify When A New Model May Be Needed:

An opportunity to...           

• Address needs of large groups who find existing solutions too expensive or complicated
• Capitalize on new technology, or leverage existing technologies in new markets
• Bring a job-to-be-done focus where it doesn’t exist

 A need to . . .

• Fend off low-end disruptors.
• Respond to shifts in competition

 

To determine whether a firm should seek to reinvent its business model, Johnson, Christensen and Kagermann advise these steps:

• Articulate what makes your existing model successful. For example, what customer problem does it solve? How does it make money for your firm?
• Watch for signals that your model needs changing, such as tough new competitors on the horizon.
• Decide whether reinventing your model is worth the effort. The answer is yes only if the new model changes the industry or market. 

So the new proposition for staying competitive may be that many companies will need to adopt the strategy of continuous business model reinvention. But to do this, tremendous internal change will have to happen, particularly around the management of the company. Reinvention, new directions, continuous competitiveness -- all are only possible in companies that embrace change and innovation in the corporate cultural DNA.

 

             
                              Source: IBM CEO study – Capitalizing on Complexity

 

Comprehensive Market Intelligence is Key to Business Model Disruption

A lot of what can make a software company more competitive – and can contribute to innovation of business models, markets and products – comes from well-executed Market Intelligence activities and processes. Excellent Market Intelligence is essential if business model reinvention will be an on-going initiative. Understanding customers, markets, channels and competitors is based on better information to create advantage in new and unique ways:

• New opportunities – identify new trends that will matter to target markets and customers; how to get there before the competition (whenever possible)
• Early warning of industry, market and/or competitor changes – take advantage of opportunities and leverage/deal with threats and risk, and always look over your shoulder…
• Enhanced customer interaction – understand customer POV, goals, needs, strategic direction
• Stronger target market selection & positioning – research, validate go-to-market and positioning; locate under-served markets for target customers and solution space; guide how to articulate positioning well for customers, analysts, industry
• Strategic view of competitive landscape – figure out true differentiation, figure out where competitors are not operating; understand the issues that matter to customers and the solutions they seek from competitors

 

 

Reinvention: Brand Equity / Brand Perception

I want to open up the question of how business model reinvention impacts Brand, both in terms of brand equity (value and general recognition built from the former business model) and brand perception (how current and potential customers – plus media, competitors, analysts, etc. – view the company). In the not-so-distant past, it had been considered near suicide to make business model changes that could negatively impact Brand. But in the digital age, when information is quickly disseminated through endless media, most people are easily educated about changes in a company. The Internet itself is all about constant change, and many have grown up in that environment.

I’m not going to explore the Brand aspect in this article but it is an issue that must be considered when reinventing business models and enacting innovation that impacts customer perception and receptivity to the company’s offerings.

  

Smaller Companies With Disruptive Genes – Better At Business Model Reinvention?

>> JackBe – Customer-Driven Disruption

JackBe started off as an Ajax tools vendor in 2001. After a while the company began targeting enterprises with a mashup platform that connects to all sorts of data sources. Responding to what JackBe customers wanted, the next development was to provide capabilities for ad hoc data integration mashups by end users.

Recently JackBe has been calling itself ‘the Real-Time Intelligence Company’, specializing in situational awareness, and is promoting the idea that the company may have a new way to provide business intelligence for enterprise end users. Real-Time intelligence for JackBe first of all means self-service BI, extrapolating its mashup services for end users. Real-Time also means fast, easy access to existing data sources, without concern about the freshness of the data. Essentially, the JackBe approach supports instant decision-making in certain scenarios.

A significant challenge entails the validation of data sources and value of the resulting mash-ups: do the end users understand what they are doing and are they intelligently combining the appropriate data? Is the intelligence that is pulled together relevant and accurate, and how do end users know or test the intelligence to provide validation?

By stepping into the larger arena of BI, JackBe now has invited in scrutiny from a well-established solution space. However, traditional BI is not without its problems and has suffered low adoption and success rates over time. It may be that JackBe is pioneering a new approach that could make a significant change to how BI is practiced or even what constitutes “business intelligence”.

JackBe has found itself moving into a new business model, seemingly a case where business model reinvention continues to be customer-driven, and where a company listens well to its customers and acts on their needs and wishes, to achieve competitive positioning and success. But with the new business model comes new challenges to ensure the validity and accuracy of its product directions.

  

>> NewsGator – One Business Model Dies Out, Another Adopted to Thrive

Starting in 2003, Newsgator focused on developing RSS usage for information and content consumption.  A business model shift occurred when NewsGator changed from a consumer focus to targeting enterprises. Even though NewsGator still provides RSS, access is now free.

In 2007, NewsGator reinvented its business model by launching Social Sites, community / collaboration software that also provides tight integration with Microsoft SharePoint. NewsGator was already a SharePoint partner for its RSS capabilities, so its business model shift pivoted on a strategic, and rather significant, partnership already in place. NewsGator acquired Tomoye community software in 2010, mainly to enter new markets. Tomoye also had the SharePoint connection.

The move to a communities / collaboration platform that extends SharePoint has proven to be successful to date. The new business model includes a deep commitment to Microsoft and SharePoint – and active cultivation of an ecosystem of Microsoft partners around “making SharePoint social”. Social Sites is built directly on the SharePoint platform, is SharePoint cloud certified, supports multiple versions of SharePoint, including mobile and Office 365.

NewsGator has selected a niche for its social solutions in that it is dedicated to complementing the SharePoint platform and to making the experience of using Social Sites with SharePoint a seamless and smooth experience for end users. With this business model, NewsGator success is highly dependent on continued SharePoint success. The up side is that Microsoft makes available an extensive ecosystem that can greatly benefit NewsGator.

One aspect of business model reinvention for NewsGator tracks back to the impact of reinvention on Brand. Does the company name still make sense, shifting from RSS/aggregation services to social media platform? Or does the brand recognition of NewsGator’s name trump any confusion about what the company now does? Frankly, considering that a good many software company names are obscure, this really shouldn’t be an obstacle for NewsGator, particularly with such a targeted solution in conjunction with SharePoint.

  

>> Stone Bond – From Services to Software Vendor

There are many cases where professional services providers for IT solutions will either productize services work into a software offering or purposefully create new software solutions that eventually evolve into a packaged software business for the services company. A key change in business model comes when the company must decide if it is to be a dedicated software vendor or a services company – or even, perhaps, the company decides to split into two organizations.

Stone Bond’s consulting services began in 1993, providing IT solutions for the worldwide oil and gas industry. Among the services was data modeling projects, working with oil company engineers as end users. Many in the oil and gas industry have long understood that their data is a very valuable asset.

In 2002 Stone Bond Technologies launched a software solution called Enterprise Enabler for data and business integration projects. Enterprise Enabler presents as a single environment for EAI and ETL capabilities and is somewhat geared towards end users / business users through out-of-the-box “codeless” data integration capabilities. Stone Bond has developed several technologies such as AppComs (for connectivity) to innovate how integration projects are created and executed. BPM and workflow based on SOA utilize end-to-end shared metadata.

While Stone Bond still targets the oil and gas industry, and obviously has a great deal of expertise for that industry, the company has already taken Enterprise Enabler into other markets, such as financial services and government. The solution also straddles target customers by offering a solution that can appeal to business users and/or IT teams. Enterprise Enabler may be blazing a trail for bringing together IT and business to better execute data integration projects as collaborative partners.

The company is now working on showcasing Enterprise Enabler as a software product independent of the original consulting business, with work going into raising brand awareness. Enterprise Enabler already has a solid customer base, but also seems like a “best-kept secret” in the data integration vendor space. In some ways, Stone Bond has an interesting clean slate when it comes to marketing to and educating the world on what this solution has to offer.

 

Related Links

Market Intelligence – Making Better Business Decisions at the Core of the Company

Software companies still fail to tap into top benefits from market and competitive intelligence programs

Provocation-based Market Intelligence in a Market-Driven world

Shallow Thinking Ensures Bad Business Decisions

B2B WEM / WCM Software Vendors Targeting Mid-Market customers: stay where you are!  

 

About the author: Julie Hunt is an accomplished software industry analyst, providing strategic market and competitive insights. Her 20+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services

 

Disclaimer: Julie Hunt is not affiliated with any of the vendors in this article.

 

Findability Inside The Firewall – Still Trying To Find The Information We Need

 

Google and Search are now infamously synonymous for successfully looking for almost anything out there on the worldwide web (regardless of recent speculation about Google Search losing some of its edge). Unfortunately, inside the firewall, it’s a different story. Many organizations have increasing explosions of content, intelligence sources, data, and internal collaboration sites: all of which contain information that the staff of these organizations need to do their jobs.

It’s very clear that there is an “information overload” and also quite clear that people in enterprises aren’t connecting to the information that they need. This is despite the advent of intranets with search built in, desktop search, cross-enterprise search, knowledge management initiatives, content and document management platforms, and other technologies.

One symptom of information overload is the inability to get the right information to workers at the right time; 40% of those surveyed said they had the information they needed less than 75% of the time.

Technology is seen as one clear way to address the information overload/clutter problem, with 35% of the total sample – and 70% at companies that manage their information well – rating technology as very helpful (8-10 on a 10 point scale).

                 Xerox study

 

There is a mismatch between the needs of the staffers of enterprises, and search methods and technologies to find relevant information quickly. Classic search and search optimization of information and content do not organize into role-based approaches to locating what workers are seeking. Enterprise staffers are rarely trained to be knowledge or information workers, both in terms of generating content that can be easily found by others and how to effectively find content, documents, data and information.

 

 
Source: Google

 

I’m not very fond of the terms ‘knowledge worker’ and ‘information worker’, as they seem to serve to reduce people to drones instead of recognizing that these enterprise workers are: thinkers, analyzers, innovators, problem-solvers, communicators – not repetitive ‘bots. Improving productivity means working smarter, not necessarily faster, and enterprises should be doing everything to remove obstacles for staff to work smarter. Besides, almost everyone is an ‘information worker’ anymore, regardless of profession or job title – we all have oodles to deal with in terms of data, content, information, intelligence reports, dashboards, mashups, ad infinitum. 

  

Conceptual Shift: From Search To Findability

The Internet search paradigm is predicated on already knowing which key words will likely produce relevant content/information results, and then hoping that everything that matters will show up in the returned results. Internet search has also been classically performed with a lack of context, where the search is independent of professional roles, work goals, context, or business processes relative to the content resources provided in results.

Inside the firewall, locating content and people with answers is better served by ‘findability’. A lot of definitions for ‘findability’ are rather circular; I think a good definition for enterprise findability comprises: ease in locating information and resources for specific worker needs while reflecting relevant aspects of content attributes, context, worker roles, people/social resources, and business processes.

I see findability for internal content and information akin to usability aspects of software solutions: it doesn’t matter how great the information or content is if the people who need it can’t figure out how to get to it. And findability can be the most useful if it functions the way people work in the enterprise.

 Workers need processes and technologies that … 

INCREASE

• collaboration with each other
• connections and relationships to get insight from others
• creative efficiency to produce new knowledge and product
• transparency of existing documents to build upon

DECREASE time spent:

• duplicating work
• searching for documents
• locating others they need to talk to
• finding knowledge that will help them
• re-building something when a template already exists

 

 Bob Mixon is a solution architect and Microsoft MVP techie for SharePoint solutions who writes and teaches extensively. In a seminar, Mixon discussed findability for intranets: 

Mixon defines findability as "the art and science of making information available to users," noting emphatically that this means "it's not just search."  In addition to search, the key components of findability were identified as being: governance, architecture, design, and navigation.  Mixon noted that most users tend to search on the internet, but resort to browsing (i.e., point and click) on intranets.  Once thousands of sites/documents exist within an intranet, however, search becomes essential in that environment as well.

  

Content Optimization -- Enterprise Search: Complex Solutions and Frameworks

Many enterprises have built out solutions based on enterprise content management, document and records management, enterprise search, with content lifecycle management and governance. Enterprises also adopt optimization initiatives using information architecture, as well as functional work with taxonomies, tagging/favorites, semantic search, text analytics, data dictionaries, and so on.

The various content-related solutions offer enterprises frameworks to create, store, publish, and archive content across all channels inside the firewall. And these enterprises can set up good processes and practices for the above activities. However, most content management solutions equate the ‘findability’ of content and information to Search. Unfortunately most search functions that are built into CM solutions are inadequate.

There are various approaches to making content management more effective for findability including combining knowledge management practices and processes with CM frameworks. But this introduces more implementation, maintenance and governance layers, as well as added costs and resource requirements.

A good many practitioners provide guidelines for optimizing content to be more findable: Bob Boeri of Guident presented on elements of findability at the Enterprise Search Summit May 2010 where he made this statement:

Documents constitutes 80% of our business knowledge assets.

Databases etc. the other 20%.

Boeri lays out a comprehensive program for enhancing content and information findability along with lifecycle management, and his presentation includes a number of useful data points on the huge proliferation of content in enterprises. Further ideas for making enterprise content findable come from the recommendations of Ephraim Julius Freed and Bas Zurburg in their respective blogs.

 

Other enterprise platforms and applications often have search functions, but again, the search usually does not work very well (compared to optimal Google standards). So not only are content and information spread across different silos, but search is also silo’d, since individual app-based search capabilities do not function across all enterprise repositories. Uber-search inside the firewall, dubbed ‘Enterprise Search”, does perform cross-silo functions but can be an expensive investment. And again, content and information must be optimized to support better results in enterprise search.

In a recent blog post, Coveo VP Diane Berry speaks about Enterprise Search 2.0:  

Enterprise Search has evolved from its repository-centric start to today’s ever-changing landscape where Enterprise Search 2.0 powers and supports critical business processes. In fact, often Enterprise Search 2.0 doesn’t even look much like search, because the search – of virtually any and all enterprise systems – is conducted in the background, the information is housed in an always-on index, and it is presented in composite information mashups for high value decision support.

 
Source: Coveo

  

Enterprise Findability 2.0 – Goal-, Role- and Process-Focused

We are already seeing traditional Enterprise Search evolving into the findability paradigm where enterprise information is more integrated with context and business processes.  There are other software technology solutions that are evolving to provide findability of information in new ways.

 

  >> Adaptive Content Delivery

Baynote has evolved its recommendations and personalization capabilities for websites to what the firm is calling ‘adaptive web experience’:

The Adaptive Web dynamically maps the user’s intent, then adapts in real-time – based on the engage­ment patterns of like-minded peers.

The Adaptive Web is intent-driven. It uses past histories, but isn’t beholden to them; what’s most important is what’s happening right now.

Since Baynote technology can be used on intranets, it is worthwhile to consider what Baynote-style technology might offer for improving findability across an enterprise, should that become an extension of adaptive content retrieval.

Real relevance requires knowing what your customers want (their intent), knowing which of your content best matches that intent (most engaging), and giving them that content in real-time (adapting)

 

>> Findability As ad hoc / Adaptive Process: Adaptive Case Management

Tangential to business process management (BPM), adaptive case management is an emerging solution that pulls together information in the context of ad hoc business processes while focusing on business goals, worker roles, and knowledge domain context. ACM also taps into the increased use of collaboration and social media to support unstructured business processes. So information is surfaced to workers when needed for particular situations. Behind the scenes, a great deal has been set up via ACM software and practices to sustain robust ad hoc business processes as they occur.

Although discussing the need for the Social Intranet, Oscar Berg could also be referencing ACM:

Knowledge work is about such things as solving problems, performing research and creative work, interacting and communicating with other people, and so on. Such work is by nature less predictable and repeatable than traditional industry work (transformational and transactional activities organized into repeatable processes). Both the inputs and outputs of knowledge work – which is information and knowledge – vary from time to time, from situation to situation. So does the purpose, activities, roles and resources involved in knowledge work. Knowledge work is also less structured and the structure of knowledge work typically emerges as the work proceeds.

The unpredictable nature of knowledge work is why we need to give knowledge workers access to all information that exists and that might be relevant. Since we don’t know what might be relevant until a certain need arises (which we never might be aware of until we discover certain information), we can’t really put the relevant information in one “for keeps” pile and all other information in another “to be trashed” pile. 

  

Max Pucher, Isis Papyrus Founder and Chief Architect:

ACM allows the business to empower selectively and securely all the people that do things and those for whom things are being done. ACM is about communication and process as ONE! ACM leaves the automation of the low-value, highly repetitive administration tasks to BPM, but it provides the platform for the high-value, unique and skill or knowledge intensive processes.

ACM may evolve beyond its ‘roots’ in business process management to become a much-needed internal platform of technology and practices to more relevantly and immediately surface the most-needed information, content, and data, wherever it exists in the enterprise, all in the context of immediate situational business process for a particular worker’s responsibilities.

  

>> Findability of Structured Data: BI and Analytics That Surface Data and “Intelligence”

In a previous article, I detailed a number of interesting trends for BI and Analytics that may result in better intelligence results for businesses. BI and Analytics present information in specialized formats in support of “knowledge workers” and to help businesses make better decisions. As collaboration processes are married to BI and analytics, unstructured content will have a place along with traditional structured data, contributing to the findability of a greater breadth of relevant information.

Enterprise search meets BI:  Attivio’s Active Intelligence Engine is an example of unified information discovery and analysis across the enterprise. Somewhat like the ease-of-use of Google search combined with context-savvy and relevance-focused analytic technology to help find much more than non-contextual bits of information. BI Search also allows findability of unstructured content as well as the traditional BI sources in structured data repositories. Hopefully BI Search will help workers find related information and content, as well as unexpected but highly relevant information sources.

 

 

 

Information Mashups and Situational Awareness:  For information delivery primarily from structured data sources, software vendor JackBe can, on demand, pull data ‘as is’ to build out information mashups from multiple pre-prepped sources. Harkening back to the thinking behind ad hoc processes and ACM, JackBe’s Presto mashup platform has been drafted into providing intelligence for situational awareness needs, where there has been no specific anticipation of the situation, and where the situation may be gone after a day. For properly utilizing information revealed for situational awareness, it is essential that the users of the Presto platform possess significant subject matter expertise to understand whether the JackBe mashups are accurate, meaningful, and useful -- or not. However, again we have another approach to finding information needed by workers, somewhat in context to their roles and responsibilities.

 

Content analytics and Content Intelligence: Seth Grimes explains findability as it relates to analyzing content to bring its value into intelligence processes:

"Content analytics" can be seen as business intelligence (BI) for/from content, as text (rather than number) crunching that generates insights to improve business outcomes. The two practices, content analytics and BI, certainly share motivations. If you don't analyze your content/data, you may be missing opportunities and running risks.

Analytics also boosts value for users. Semantic search, faceted navigation, and content annotation/enrichment create findability and improve user experience and value for users. They also let users treat content like data. Call the goal "content intelligence," enabled by "smart content."

Although Grimes is talking about content for external-facing websites, the applicability to internal enterprise content is obvious.

  

>> ‘Now, The Information Finds You’

TIBCO Software recently announced a new release of tibbr with the above tag line, fully remade from its 2009 debut as an internal microblogging tool. In this new incarnation, tibbr still benefits from the TIBCO sophisticated backbone of enterprise infrastructure management, including data integration, messaging and process management, and, as such, is infrastructure-agnostic. Or as Ram Menon, TIBCO CMO, puts it:

We’re leveraging a billion dollars of integration technology investment to offer customers the ability to get at the information they need, in real time, if they choose

While tibbr is built more for real-time information streams than archives of content and information, tibbr and Tibco have created a platform with a lot of potential for improving overall information findability that adheres to context and worker roles.  It connects to process, people/workers, collaboration venues, data and information streams, centralizing all event streams into one dashboard. Information can be organized by subject or topic, rather than by people. tibbr enables users to create, contribute to, and subscribe to the real-time event streams that matter most to them.

Dennis Howlett provides this description of tibbr:

It intelligently marries people, process and context, delivering information the way people want to consume

tibbr provides flexibility in the delivery and consumption of information by allowing users to select the form, frequency and manner in which they want to receive updates. Updates are delivered at the requested time, to the device or interface of choice, with the appropriate context. With its integration capabilities and bi-directional feeds in and out of business applications from vendors like Oracle, SAP and Salesforce.com, Tibco connects tibbr to business processes and event-triggering that are then exposed in tibbr for taking action.

Since tibbr has a customizable subject / classification structure, companies can build an information model that works best for them. With that in mind, will tibbr also call for Information Architecture and governance capabilities to ensure the findability of information as it is handled by tibbr dashboards?

 

Convergence or Patchwork?

Lots of different technologies are available for both search and findability in the enterprise, and new ones are emerging. Right now, all of these technologies somewhat resemble a patchwork of possibilities, but with some very significant overlaps of capabilities and solution strategy. Realistically, for many enterprises, multiple options may be what are needed to achieve overall findability for all worker roles. And this a case where tech really matters to help enterprise workers find exactly the information and intelligence that they need as quickly as possible.

It is also likely that large enterprises will continue to benefit from rigorous content-generation strategies, Information Architecture, and governance systems to enhance whatever methods are used to find information in context. Sophisticated solutions for findability will require diligence and consistent oversight to ensure the best results for workers.

What interests me a great deal are a couple of things: how the newer solutions evolve, and what sort of convergence will occur from solution spaces that started off quite separate from one another.

 

Related Links

The Ever-Expanding Importance of Analytics–True Intelligence for Business

Levels of Social – and Integration – Cut Across Enterprises

Achieving the Social Business, Inside and Out

The Effective Intranet – Engaging the Employee as Customer

 

Disclaimer: Julie Hunt is not affiliated with any of the vendors in this article.

About the author: Julie Hunt is an accomplished software industry analyst, providing strategic market and competitive insights. Her 20+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services

 

 

 

Achieving the Social Business, Inside and Out

 

For the past few years, companies have been exploring initiatives internally and externally that dance around the notion of “social” methods for engaging all of the people in an enterprise ecosystem - to bring about better results for these companies. These social methods have been described with terminology such as “enterprise 2.0”, “social computing”, “web 2.0”, “social media”, and so on. The evolution of these social methods has led now to another term: the Social Business.

I find the term “Social Business” a necessary one:  to remind companies that people are very important to their success: customers, employees, partners, suppliers, and so on. I see the term “Social Business” encompassing what companies might become to engage people - inside and out – to achieve business goals, and frankly, to stay in business. Again looking at terms in common usage: Enterprise 2.0 has been concerned with the “inside” (I call it social collaboration) and social media / web 2.0 have been concerned with the “outside” (external-facing customer engagement). A blurring between Social Inside and Social Outside has begun, partly driven by the adoption of customer-facing social media tools by internal collaboration programs.   

A lot of the conversation for the ins and outs of social these days has focused on technology and practices - and even on “naming conventions” - but People as the focus is what really makes a difference for a business to achieve success. People participating in the “Social Business” are cross-generational: there are lots of people of all ages who are savvy about collaboration, communication, social media, respecting colleagues and customers – none of these activities are the sole turf of any generation. And I’ll repeat: the focus on the value of People and trust in what they can accomplish (not just on tech and practices or processes) is at the heart of healthy companies.

Why does a renewed - and authentic - interest in People matter to a business? From the customer perspective, much has been written about customers now driving relationships with businesses where businesses listen to what customers want, like and don’t like. From the perspective of employees and partners, a great deal of what companies need comes from people:  innovation, creativity, ideas for new directions, passion, enthusiasm, customer relationships, knowledge, experience, judicious consideration, and so on. 

The Human factor always has to be distinctly considered in anything called “social” -- otherwise it’s just a buzzword shell game. First there must be authentic respect for all the people in the enterprise ecosystem; then enterprises can work on building out social practices that consider the human element – afterwards, apply technology and processes where they make sense.

  

Value of Social Business - Inside

In enterprise activities such as collaboration, knowledge management, business intelligence, business process management, adaptive case management, there is a significant role to be played by social capabilities to improve how these activities perform and provide relevance and results. Social business on the inside is also rightfully tied to enterprise collaboration and intranets that are taking on more social media type capabilities. Many software solutions are including social capabilities as methods to improve solution usage and value, as well as do a better job of incorporating the importance of the human element.

For example, Business Process Management (BPM) solutions encompass practices and tools that are evolving and including more people-oriented methods in terms of social collaboration capabilities. Forrester’s Clay Richardson comments:

Enterprise social – and social BPM by extension – is seeing healthy adoption in industries and organizations that have open cultures and have a need to innovate and share ideas quickly. Although it might seem counterintuitive, we’re seeing the greatest adoption of social BPM patterns in the healthcare and public sector – specifically in defense.

Sandy Kemsley, independent analyst and systems architect for enterprise infrastructure, also understands well the people side of business:

Tom Davenport recently wrote about the need to add structure to social in order to bring enterprise value: Transaction systems like ERP and CRM, tools for workflow and document management, and project management systems all made it more clear to people what they need to do next in their jobs. That capability has undoubtedly led to productivity gains.

But work effectiveness also demands that people share their knowledge and expertise with each other. That’s where social media comes in. It makes it easy to reach out to others for help in making a decision or taking an action. And the transfer of knowledge through social media doesn’t require a lot of difficult knowledge management work in advance.

Business Intelligence is another software solution space that is looking at building in collaborative layers throughout the BI lifecycle. The possibilities for new applications of analytics increase with collaboration. Inviting in many-to-many interactions also opens up processes to new ideas from participants. Gartner found that social venues and collaboration help to track and capture outcomes of the decisions made based on BI / analytics:

Gartner's user surveys show that improved decision making is the key driver of BI purchases. However, most BI deployments emphasize information delivery and analysis to support fact-based decision making, but fail to link BI content with the decision itself, the decision outcome, or with the related collaboration and other decision inputs. This makes it impossible to capture decision-making best practices. Solutions are emerging that tie BI with social software and collaborative tools for higher-quality, more transparent decisions that will increase the value derived from BI applications.

Promoting social on the inside draws on the rich value that lies in the many people who populate the enterprise.

  

Value of Social Business - Outside

Social media and social CRM solutions and practices are gaining interest and usage as means to work with customers throughout the customer lifecycle with the company. Social media and social CRM also play important roles for connecting the Social Business-Inside with the Social Business-Outside.

Social media is not just the latest fad in marketing; and to really work, social media is not “one-size-fits-all”.  Enterprises must understand how a go-to-market strategy that includes social media will help with objectives and obligations; then enterprises must figure out which social media to use and why. Social media commitments require an authentic personal touch, both for how customers are communicating with the enterprise, and how the enterprise responds and sustains customer conversations.

Maria Ogneva comments on the social customer and social CRM:

The ability for everyone to engage and be in alignment: Social media is not a silo, and no one department owns it. There must be a process in place by which each message gets automatically routed to the right person, classifying it by type (question, complaint or compliment), content (what it actually said), sentiment, action needed, and influence. This helps automate the triage process, which until now has been mostly manual.

Jeremiah Owyang’s work with brands employing social media to better connect and support customers is extensive and well-known. In his presentation on “Three Trends Companies Must Invest in for Social Business”, Owyang introduces the notion of Rings of Social Influence which include employees as company ambassadors for communicating with customers, as well as these recommended best practices for such employees:   

• Establish guardrails to protect both employees and the company
• Offer internal training courses, (like Intel’s certification program) and recurring training
• Offer an internal water cooler where they can talk in a safe place and plan: Yammer, Socialcast, Community Platforms

And of course companies must recognize the power of the customer voice and consider Owyang’s recommended best practices for customers active in social media:

• For better or worse, customers are already talking about you – how can you aggregate their voices closer to your brand?
• Develop an advocacy program to recognize and reward your top customers.
• Change your mindset to understanding that critical feedback is an opportunity for product and service improvements – then use to increase loyalty and WOM.

 

Social Business Equation: Inside + Outside = Eliminate silos

Many enterprises are understanding the value of social media to better engage and retain customers, to attract prospects, make sales, help customers solve problems: Social Business - Outside. But it seems to be much harder for enterprises to understand social on the inside and why that matters. Enterprises must come to understand that social on the outside won’t be substantially achieved – let alone sustained - if social on the inside isn’t working.

Social on the inside pertains to all company teams that touch customers, prospects, partners, and suppliers – basically the vast majority of the company.  The commitment, usage and value of social on the inside and the outside must be real – employees, partners, customers will quickly figure out if a company is faking it.  With healthy social practices inside a company, the support and growth of social for any interactions involving the enterprise human ecosystem – inside and out – should then be a natural and vital part of overall company strategy.

Here are the big questions:

1. Can the enterprises that need to, change quickly enough to re-humanize?
2. More importantly, will enterprises even choose to change?

This change – understanding and nurturing the value of all the people in the enterprise ecosystem – impacts how the company operates internally, how it does business externally, how the company effectively engages the human ecosystem that is truly needed for the company to survive as a successful business – inside and out.

From this change comes these rewards:  big impact on continuous innovation / relevant product development, drawing the best out of employees, collaborating with customers and partners on future direction and products, listening to all of the people in the enterprise ecosystem to draw on their experiences and expertise for building and sustaining competitive edge >> all contributing to the success and relevance of company.

The strategic decision to become the social business has to come from upper management and boards of directors – it has to be a key aspect of the enterprise – or it won’t happen in any significant or sustained fashion. When an enterprise chooses to become a “social business”, the divide between social-inside and social-outside should blur as more and more as silos within the enterprise hopefully disappear, and as bi-directional connections to customers and prospects, partners and suppliers become more authentic and more immediate.

 

                                                                <<<<<              >>>>>

Jeremiah Owyang has produced a very good starting point for depicting the Social Business Stack, expressed in terms of technology. I’ve added a “reminder” element to his diagram:

 

 
 
 

 

Related Links

Social collaboration in enterprise:The heart–and goal–of Community is “collaborating people”, not collaboration tools

Levels of Social – and Integration – Cut Across Enterprises

The Ever-Expanding Importance of Analytics–True Intelligence for Business

The Effective Intranet – Engaging the Employee as Customer

I have a confession to make: I am a Hybrid – business technology hybrids bring real value to company competitiveness

  

About the author: Julie Hunt is an accomplished software industry analyst, providing strategic market and competitive insights. Her 20+ years as a software professional range from the very technical side to customer-centric work in solutions consulting, sales and marketing.  Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt   For more information: Julie Hunt Consulting – Strategic Product & Market Intelligence Services