Highly Competitive - software industry insights

Intelligent Transportation Systems for Midsized Cities

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When intelligent transportation systems are discussed, the focus is usually on mega-cities (populations of 10 million or more). But midsized cities (anywhere from 250,000 to 1 million people) face many of the same issues as larger cities, especially regarding forward-thinking planning for transportation systems. In fact, midsized cities are still a significant untapped market for intelligent transportation systems.

Right now transportation system technologies are evolving faster than overall management strategies. Adding to the management 'chaos': the proliferation of massive amounts of data related to transportation systems, including machine-generated big data. For midsized cities, data is a key asset for the planning, control and advancement of intelligent transportation systems.

When intelligent transportation systems take advantage of advanced data analytics, the value that results includes optimized infrastructure management and operations, as well as improved transportation services in terms of variety of modes, safety, reliability, and efficiency. Transportation data analytics also contribute greatly to real-time improvements to traveler / user experiences.

Categories of transportation data include:

• User or traveler behavioral data – survey data, social media sources, video, monitoring
• Travel demand and system use – monitoring data, machine-generated sources
• Socio‐Economic data – land use, demographics, income
• Transportation services – frequently as machine-generated data from sensors and meters
• Traffic management data – primarily machine-generated sources
• Infrastructure – roadways, facilities, vehicle fleets
• Environmental impact – emissions/air quality, local health concerns, other pollution/contaminants

Urban transportation networks frequently exist in an ecosystem of transportation modes and other urban governance entities in order to consolidate overall vision, resources and functions, which can lead to better outcomes for all. Intelligent transportation systems should support data sharing across modes, functions and stakeholders to show the value of collecting all relevant data, as well as being able to deliver data to different data management and analytics structures. And "stakeholders" aren't just humans – machines and automated systems are often around-the-clock consumers of transportation data.

 

Managed Services for Midsized Transportation Systems

I've written before about the differentiation that managed services providers can create by concentrating on specific industries and developing the distinct services that will make a difference to that industry. To provide niche or industry-specific services means developing in-depth expertise for the service offering, both in terms of the industry or niche and the problems that need to be solved.

Managed services can be developed to help midsized cities improve intelligent transportation systems through the use of advanced data analytics. The focus should be on new ways to deliver cost-effective services and solutions through cloud platforms, lower priced data analytics tools, and mobile applications.

Beyond services for the continuous data analytics needed to govern and improve urban transportation, managed services providers can help midsized cities understand how to apply analytics results to achieve significant improvements to transportation systems in multiple areas:

• Personalized interactions with citizens using transportation systems
• New services created more quickly
• Real-time operational responsiveness
• Measuring the effectiveness of current decisions and actions

Such services and solutions should be tailored for midsized cities to keep costs down and provide exactly what these cities need for faster, more effective transportation systems to better serve their citizens. A one-size-fits-all approach rarely works. Managed services providers need to craft core services and implementation templates that can be easily customized for different cities and their transportation systems.

 

Image source: swarco.com

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt For more information: Julie Hunt Consulting

Developing Mobile Business Apps – Navigating Data and APIs

 

Most organizations are well aware that mobile devices and applications are changing how they do business with customers and partners, and how their employees accomplish their work. Mobile business apps are developed to provide useful services that are designed specifically for mobile devices, focusing only on the most relevant streamlined capabilities. Well-designed apps also reflect an in-depth understanding of how different people use mobile devices.

The effectiveness of business mobile apps is ultimately about connecting users to the information and data that they need anywhere, anytime. Business data is frequently stored on multiple platforms, inside and outside the firewall, with varying levels of security and portability. End-to-end task workflows may even take place on multiple platforms. Savvy organizations are catching on that the mobile revolution cannot be stopped. It's best to proactively work out how to govern the mobile tools of the workforce.

Data management and governance, as well as flexible data integration processes, are key components of acquiring and integrating cloud and mobile data with on-premises data repositories. Data in the cloud has been a significant challenge for a while, with each cloud service providing proprietary APIs as the main means for connecting to data. But data residing on mobile devices introduces a whole new world of challenges, including serious security concerns.

As the use of mobile devices and apps for business activities continues to proliferate and fragment data, the standing of data integration as a mission critical technology escalates. What has changed for data integration solutions is the demand for more ways to create and use integration processes. To meet such demand, data integration platforms not only need to be high performance, they must continue to innovate ways to connect to data where it lives and then perform any number of actions to take data where it is needed.

 

Speeding Mobile App Development: API Management Platforms

Agility, flexibility and rapid development are key attributes for the mobile app creation process. Developers of mobile apps have an increasing number of cloud services and platforms that provide reusable components, including numerous JSON and REST APIs that enable data access, as well as the means for navigating security and authentication policies.

Mobile apps both generate and use APIs. On the generation side, APIs that are not well designed or properly built come with a high cost over long-term usage. On the API usage side, in the past, mobile app developers had to embed numerous SDKs directly into the app, which would require constant care and management. API management and integration platforms have been created specifically for mobile app development to orchestrate and enable data integration needs, so that mobile developers don't have to keep re-inventing the wheel when it comes to API creation and usage. These cloud-based integration management platforms cover many of the services that are needed for well-performing mobile apps. Indeed agile API management has become essential for smoothly-running mobile apps.

 

Governance and Security

As with any data-related functions, working with mobile / cloud data integration and APIs requires comprehensive governance and management, to ensure streamlined usability in mobile apps (or cloud services) while adhering to the overall data governance practices for the organization. If an organization doesn't address API management as a critical component of managing mobile app development and usage, many problems can and will result. Security guidelines are also critical for mobile practices.

Ultimately all data usage must in some way align to centralized management to ensure integrated policies, practices and processes across the organization. While the mobile device may be the activity point, the data used and created is still part of a bigger picture. On the other hand, data management practices and policies have to be balanced with enabling the workforce to make good use of cloud and mobile technologies, to more effectively perform work on behalf of the organization.

 

Image source: thisismoney.co.uk

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitive and on Twitter: @juliebhunt For more information: Julie Hunt Consulting

Reducing Risk for Self-Service Data Integration

 

Cloud platforms and SaaS solutions have opened the door to service-oriented strategies for the day-to-day infrastructure and applications needs of organizations. These "off premises" approaches to business functions have helped reduce costs and improve workplace access and productivity. But, as a side effect, managed services providers are losing some of their traditional services domains as companies continue to migrate systems and work activities to cloud services.

There is increasing pressure on MSPs to innovate services in new areas to sustain their businesses, particularly to contribute to real business outcomes (and not just IT infrastructure) and provide more direct business user support. MSPs should consider compelling opportunities for developing "middleware" services that fill in gaps around cloud solutions, especially for helping business users get more out of these solutions, while protecting users and the organization.

Over the years, IT services providers have profited well from building and maintaining data and application integrations for on-premises and cloud infrastructures. Recently vendor offerings for self-service data integration have been growing, with the business user as a primary target. The increased adoption of self-service data integration has the potential to cut into data integration services from MSPs.

Self-service data integration is an intriguing approach to connecting business users to actual integration tools; however this approach is filled with risk that must be addressed. Unfortunately hype from a number of data integration software vendors tries to make the case that self-service data integration is easy-peasy for the business user. The reality is far from this simplified view. But that doesn't mean self-service data integration is a bad idea. And it actually opens up an opportunity for third-party consultants and managed services providers to create valuable services that better support business users – and reduce risk – when working with data integration.

To ensure that business users do the work correctly and avoid serious missteps, self-service data integration has to be narrowly defined, with guidance at every step. MSPs could create a "middleware" services layer for particular self-service data integration offerings that better protects and guides business users when leveraging these offerings. It would be a sort of 'managed intervention services' – protecting and coaching business users when utilizing data integration services, to better understand what is going on and how to use the self-service approach.

Business users have to understand both the business aspects and the technical means to successfully perform self-service data integration. For example, MSPS can provide missing guidance (be assured - there is plenty of missing guidance in these offerings) to help business users utilize data modeling and data definitions that are necessary to stay on the right path for integrations that will correctly produce the data results that are needed. This can be accomplished both through supplemental technology services, and through training / coaching that can be embedded in technology services or handled in live engagements. Internal IT teams often have little time to create such guidance and training for business users.

There are also extremely complex data integration processes that should never be attempted by business users – but these users should have access to the resulting data for their own projects. In these instances managed services can fill the gap by delivering ready-to-use data to business users. MSPs can create the processes that handle complex integrations, making available the resulting data with the assurance that the integrations have been tested and verified by the services provider.

Working with business users for self-service data integration also means that MSPs will now have the mastery to take direct advantage of self-service data integration tools, along with other cloud data integration platforms, to build other data-related services for their clients. There are always numerous data integration projects that are never undertaken because of time and resource constraints for IT and business teams. For many MSPs and consultants, self-service data integration in the cloud can be a faster means to solve data integration headaches for their clients.

Self-service data integration still has a long road to travel before it becomes an everyday tool for many business users. MSPs should look at creating services that help business users today, as well as in the future, to safely and smartly take advantage of self-service data integration as a route to improve the data needed every day for all levels of decision-making, innovation and other workplace requirements.

 

Image source: plexxi.com

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting

Data Integration Services Evolution

 

 

With the increased usage of data analytics to help solve business problems and improve strategies, data integration has come more to the forefront as a critical component of overall technologies for data-savvy organizations. New approaches and technologies for data integration are coming into play to better meet what organizations need, especially to support increased business user access to data management itself.

Over the past several years, data integration services have continued to grow and evolve, thanks largely to the cloud. Tapping into SaaS approaches, the early entrants were data integration as a service and purpose-built or pre-built data integrations.

 

Data Integration -- as a Service

Data Integration-as-a-service (IaaS) became possible as more organizations made use of SaaS, cloud services and even B2B data exchanges. Business ecosystems began growing in size and complexity thanks to online connectivity, promoting ease-of-access for B2B relationships and interactions. As more data flowed in the cloud, the need and demand for integration picked up momentum. Originally IaaS functioned as an IT-oriented service, mostly in stand-alone instances. But IaaS instances were soon embedded in other cloud services and applications, as well as cloud infrastructure platforms.

The ability to quickly move data to where it is needed must evolve beyond cloud services that only provide basic APIs and web services that still require users to build connections. While leveraging APIs and web services for loosely-coupled integration processes, IaaS rapidly added more sophisticated capabilities such as virtualized data services, governance, REST-ful services, and agile interoperability at multiple levels.

Cloud-based IaaS has since progressed into Integration Platform as a Service (iPaaS). The data integration services evolution now involves comprehensive platforms that leverage cloud services for the creation and execution of integration processes or flows that connect to systems in the cloud and on premises -- within a single entity or across multiple organizations. Services include critical capabilities: data governance and management, metadata discovery, data quality, transformation rules, agile access to data sources – all delivered with automation and ease-of-deployment as important aspects of the overall platform.

 

Purpose-Built Data Integrations

As a more narrow approach to integration, purpose-built data integration is designed to meet a specific business need, with pre-defined capabilities bundled in the solution. Frequently purpose-built data integration comes as an appliance. Purpose-built data integration services in the cloud comprise an evolutionary step for making data integration services available to business users, to initiate integrations between specific sources or applications.

Cloud services for purpose-built integrations usually include data replication, migration, and synchronizations for customer data. Typically integrations involve specific SaaS applications like Salesforce.com and Netsuite as "pre-set" sources and targets.

These services work with focused use cases where business users do not have to make lots of decisions about how the integrations will be accomplished. Wizards are employed to walk business users through the process. However, at minimum, business users must have knowledge of the sources and targets, and basic understanding of the data integration task, to work confidently and accurately through the purpose-built approach.

 

Business Innovation from Data Integration Services

The evolution of data integration services must align dynamically to the business as it changes. Business users require rapid responsiveness to integration needs, through technology that is 'proactively' ready for many use cases that reflect expected and realistic business situations. Innovations for cloud-based data integration services contribute to optimal business performance and to the faster delivery of valuable data that frequently has a short shelf life of relevance.

Data integration services can tap into the rich value of the cloud and how it connects businesses through common services, with business processes providing contextual frameworks. Such data and process agility underpins must-haves for the competitive organization: always-on intelligence, new business opportunities, innovations in products and business models, robust collaborative processes for the ever-growing business ecosystem.

 

Image source: trendmicro.com

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting

 

The Missing Pieces of Master Data Management Services

 

A master data initiative is meant to deliver a unified and well-integrated source of cross-organizational data that is reliable and up-to-date, while eliminating silos and redundancies across the organization. Master data management (MDM) software solutions comprise an essential piece for trustworthy analytics that lead to better decision-making. Master data is also a much-needed accompaniment for big data analytics, providing critical context for big data, and as a means to connect big data analytics to business objectives and value.

We're seeing more offerings for MDM services from IT and solutions consultants, managed services providers, and software vendors – with cloud platforms playing a clear role in these offerings. Third party technology services often result in lower costs and faster time to solution use and to the engendering of business value. Unfortunately providers of MDM services frequently only target IT groups, and, as such, fail to include the very important business stakeholders in a client organization. A technology-only approach to MDM results in significant pieces missing from the puzzle, which will impede how well MDM will work for an organization, particularly to produce business value.

These missing pieces relate to people, organizational change and new processes, which in turn often give rise to internal political issues that must be identified and dealt with. For successful MDM initiatives, technology should take a back seat until thorough understanding is mapped out for the people, practices and processes of the organization. Otherwise there will be a serious impairment of the integrated vision of how a master data initiative impacts the organization and the work that is done to achieve business objectives.

A focus solely on technology ensures that the needs and requirements of the business won't be met, and that the MDM initiative will fail to address essential non-technology elements, such as relationships with key people. Business champions, stakeholders and influencers are all critical to the success of any MDM project.

Data governance is another crucial function that aligns the important elements of people, practices and processes with master data management. Again, the plan for data governance must be in place from the beginning of an MDM initiative. It is an essential apparatus for helping to mitigate the many obstacles that can plague MDM.

Third party services providers have a big opportunity for providing MDM services. But such services must include the business and people sides of the story. Often a neutral outside consultancy or service provider can help achieve the organizational change required for MDM to make a difference for businesses. Service provider insight and experience enables the identification of problems from the beginning and provides useful solutions and guidance for clients to mitigate internal politics.

Services providers must be prepared to develop a well-structured MDM vision for clients that aligns to and realistically supports overall corporate strategies, business unit goals and optimal business operations. Such a vision must address not only how business is done today, but what organizations want to accomplish further down the road. A focus on technology alone cannot achieve this sort of visionary work. By providing the full scope of work for MDM initiatives, a service provider will stand well above those who only focus on MDM as a technology "project".

 

Image source: http://www.danpontefract.com/give-piece-a-chance/

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting

 

Industry-Focused Services Deliver Unique Value

 

I often advise my clients (B2B software vendors and professional services firms) to seriously consider well-targeted markets that require extensive expertise that will set the vendor apart. These markets might be a specific industry focus or niche services for distinct industry or business problems. Such specialized offerings provide an important way that vendors can competitively differentiate on real performance that benefits their clients. MSPs are no different in this respect, particularly as traditional IT managed services have become highly commoditized, with an overflowing field of competitors.

 

Distinctive Expertise Means Big Value for Clients and for MSPs

To provide niche or industry-specific services means developing in-depth expertise for that particular service offering, both in terms of the industry or niche and the problems that need to be solved. The MSP becomes highly proficient in understanding the details of a specific industry need - on all fronts: business; technology; processes; practices; external requirements such as compliance; and how the new services will impact client imperatives.

Hands-on expertise is essential. The MSP becomes the "go-to-guy" for certain industries or business specialties because of proven knowledge and ability. This expertise serves to market the MSP naturally through real demonstrations of subject matter mastery and problem-solving. It will require that the MSP directly participate in the world of the specialty, including attending events, user group meetings, training opportunities, and so on. Such events provide excellent access to potential clients, as well as organic marketing through articles, blog posts and news releases written about the events by other parties.

When MSPs specialize, they're able to walk in the shoes of their clients, to better understand what they are facing, and to visualize new ways to help them solve problems. The MSP now walks the walk, as well as talks the talk. Being able to speak the same language as customers and users engenders trust and opens clearer lines of communication. Hands-on expertise in specialized areas allows the MSP to know what matters to their clients and what solutions will make a difference. And their clients will quickly see that the MSP is for real.

Knowing specific industries or niche markets makes it easier to assess the needs of each customer, and to determine the best solutions. The MSP builds a knowledge bank of problems, pitfalls and best practices related to solutions for focused markets. As a result, reusability becomes a competitive advantage for the MSP, from assessing client needs and constructing bids, to basing applications and solutions on proven solution templates. MSPs become thoroughly in the know for the top industry preferences for specific software solutions and the corresponding software ecosystem.

All of this leads to opportunities for unique services that few other MSPs are able to provide.

 

Technology Services Focus for Retail Fashion Industry

New York City-based service provider eMazzanti Technologies has been actively targeting the retail fashion industry with services to improve transactional technologies, such as mobile POS systems, and services for comprehensive cyber security. eMazzanti provides extensive security services for customer and business data protection, including network security solutions and appliances, supplemented by eMazzanti monitoring and remediation services.

To deepen industry expertise, eMazzanti staff now includes experienced retail fashion professionals. eMazzanti sees greater opportunity in serving broad needs across a retail fashion business, beyond the traditional IT services of the past:

Looking to enhance clients' retail revenue growth, the company is continually assessing emerging technologies such as digital mirrors, interactive product displays and customer recognition systems for retail customers. Existing and future technologies depend on reliable and secure network design and deployment, eMazzanti's core strength.

 

Selling Value over Price

Traveling the path of niche and industry services helps smart MSPs escape endless pricing "wars" for commoditized services provided by innumerable MSPs. Value is immediately obvious to clients when focused services are available for unique needs within an industry or niche market.

All clients want top notch technology services providers, and many are on the lookout for services that have a tight fit for their specific industry or niche. Tailored services offer such clients competitive advantage for attaining business objectives. Clients know their businesses can see healthy growth when partnered with MSP firms committed to deep expertise for their clients' specific industry needs.

 

 

Image source: dev2ops.org

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting

 

 

Earning Customer Trust is Priority One

 

Organizations can run into various detours when making decisions to partner with managed services providers, ranging from security concerns to internal politics. However, trust is frequently the main stumbling block for the adoption of managed services. To win business, MSPs must listen to any and all concerns expressed by potential customers, and be well prepared to help customers work through those concerns. To keep the business, MSPs must do everything they can to earn trust from their customers.

 

Services that Make a Difference for Customers

One important way to build trust is to demonstrate expertise and reliability through specialized services that positively impact businesses. More and more the value of managed services is not about lower cost, but about contributing solutions that deftly handle the complexity and difficulties of ever-evolving sophisticated technology infrastructures. In addition, services that enhance the daily work being done to achieve business objectives show that the MSP understands what organizations really need. It's also important to provide services that safeguard and enhance the business, where the MSP shows clear commitment to corporate well-being and security.

When organizations outsource technology needs to providers that specialize in diverse technologies, these organizations can focus on the real purpose of their businesses. Often managed services not only free up staff in organizations to spend more time on business objectives, but contribute to improved technologies and processes that directly improve new product development, help create new market opportunities, optimize operations, and improve customer service. Delivering real business value sustains trust.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Invaluable Business Continuity Services

More and more companies run on integrated technologies. MSPs become an ‘asset’ for businesses through their expertise for complementary solutions and platforms. It’s essential to understand how these technologies should work together in order to support how the people of the business work, and how their activities achieve business goals. Agile business processes comprise a core element for optimizing technologies.

Through such comprehensive expertise, MSPs can provide invaluable business continuity services to keep organizations healthy and up-and-running when faced with any number of adverse conditions. Business continuity encompasses every aspect of running the business and the problems and threats that can derail it. MSP involvement in business continuity means far more than security and back-up services. MSPs can help clients design better processes, and better ways of working. The MSP takes on the role of trusted advisor who not only understands technology infrastructures, but how people need to work with technologies and the impacts on business.

 

Brand Impressions Matter for Trust

MSPs have to pay attention to customer perceptions of their brand, just like any other vendor. This is yet another shift away from solely focusing on technology. Every person in a managed services firm comprises the face of the brand. Physical and interpersonal impressions count, both to build positive brand perception and to earn real trust.

What the brand stands for in terms of services also matters. This doesn't just mean the array of services that are offered. How services are executed make a big difference. Going the extra mile, preventing problems, anticipating customer needs, taking time to do things right, pointing out areas where improvements can be made and how best to do it – these are all necessary to truly help customers achieve success.

 

 

Image source: pallushek.com

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting

 

Meet Your New Cybersecurity Partner: The CFO

 

 

As with other data management and analytics processes, Chief Financial Officers are increasingly becoming an integral part of the management of cybersecurity initiatives. This is primarily due to the huge financial impact that cyber attacks and data breaches can have, seriously threatening the financial health of the organization. CFOs are also beginning to align their oversight of risk and compliance with the proliferation of cyber threats, providing an added imperative for CFO involvement in cybersecurity strategies.

A broad range of organizational information underlies everything that the CFO and his team do on a daily basis, and much of that information is both highly sensitive and crucial to the business strategies of the organization. The CFO must have constant knowledge of where this information resides, who is working with it, and the plans to keep it secure. And now CFOs must have heightened awareness of where cyber threats are coming from and the many ways that intruders can get to that information.

Besides working to ensure the safety of corporate information, CFOs also must assess the risk and potential impact to the organization should a hacker successfully breach security measures. The damage to an organization is not just determined by the direct cost of the cyber attack. As many well-known corporations have demonstrated all too often, there are often long-term negative consequences related to the loss of trust and a tainted brand reputation.

Investments in cybersecurity technology solutions and services are increasing each year. Managed services providers are finding that their clients want and need a partner who combines knowledge and expertise for cybersecurity itself with the implementation of effective technologies that can keep pace with fast-changing methods of attack. And MSPs must understand the responsibilities of a corporate office like the CFO and the mandate for secure corporate financial operations. For MSPs to do well, understanding business objectives, processes and corporate behavior is every bit as important as top-notch technology skills.

Every new technology development translates into new ways for hackers to digitally threaten organizations. The in-depth and broad range of MSP expertise for many technologies and business processes is invaluable for helping CFOs not only grasp the current state of security in their organizations, but better visualize what the future may hold for new kinds of cyber attacks. As organizations adopt new technologies, they should also develop new plans for protecting digital corporate assets.

The future of managed services depends on these new ways of working with an organization, to best support the goals and business outcomes that the organization seeks. MSPs can no longer simply look to traditional IT roles and ways of working. Sophisticated technology and the digital era demand that managed services and solutions always look at the bigger picture and work with more non-IT roles. Innovation calls for new approaches to help organizations attain success.

 

Image source: IBM

 

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting

 

 

Connecting the Cyber-Threat Dots through Big Data

 

The managed security services market has been in play for more than a decade. Not surprisingly, it continues to show vibrant growth, fueled in part by cloud-related factors. Research and Markets, in a January 2015 report, estimated that market growth will run from $14.3 billion in 2014 to $31.9 billion by 2019 (with a CAGR of 17.3%). Growth for security services touches just about every industry, and all sizes of organizations.

Managed services providers are tasked with marrying expertise in cybersecurity and cloud with big data analytics to deliver comprehensive protection and proactive measures to their clients. Proactive cybersecurity services call for the implementation of far-reaching and sophisticated data and event management technologies and services, to improve the aggregation and analysis of security event big data. Managed security services should address the imperative for integrating many disparate sources, including big data sources, to derive event correlation that can be aligned with other analytics to continuously improve alerts, preemptive processes, and real-time reporting.

Today's cyber security threats frequently operate as patterns that usually deviate from the expected behavior for most authorized users or for activity on particular devices or IP addresses. To identify and fight such attacks, security teams need technology services that can find and analyze deviant trends. This is a natural fit for big data mining and analytics combined with state-of-the-art cybersecurity programs.

Machine-generated data provides fertile ground for using big data analytics to root out cyber security threats. Machine data lives in the IT infrastructure: network logs, event logs, firewall and security system data, web logs, email logs – anything and everything operating in the infrastructure. But machine-generated data can be quite problematic for aggregation, data mining and analytics. Such data must be processed very quickly, frequently in real-time and usually exists in large volumes that are continuously proliferating. Machine data sources are quite variable, many of which are multi-structured formats that further challenge data mining efforts.

Once data has been extracted from machine-generated sources it can be enriched with other kinds of data to establish context, and elicit patterns and trends related to cyber attacks. Managed analytics services can take on a forensics quality while searching through data for patterns of irregular or unexpected activity. For instance, realtime endpoint forensic data capture and analysis is on the rise to plug yet another hole in systems infrastructure, in order to block data breach entry points.

Situational awareness is another important aspect of fighting cyber attacks. The overarching value of situational awareness is continuously knowing what is going on around the organization, to "instantly" respond to certain events. Big data analytics strengthen situational awareness primarily through fast real-time assessments that can reduce time to decisions and actions in response to potential threats and certain anomalies. These sorts of analytics also require corroboration from subject matter experts, to help make the best decisions based on the data at hand. And this opens up yet another "cybersecurity frontier" for managed services providers where knowledge and expertise are just as important as optimally running technologies.

 

Image source: platfora.com

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting

 

Moving Target: Cybersecurity and Integrated Managed Services

 

Cybersecurity continues to encompass the pressing need for detailed, broad and varied solution capabilities. Implementing, maintaining and updating comprehensive cybersecurity solutions frequently seem to be daunting tasks for organizations of all sizes. Simplifying cybersecurity solutions is appealing as a beneficial goal -- but the more useful approach right now is to streamline integrated services to handle a broad range of capabilities. Often different industries require specialized security solutions; customization requirements are often part of the mix for many organizations. Managed services providers can cost-effectively handle these sorts of individualized needs as 'business as usual'.

 

Cybersecurity and the Cloud

Like data management and analytics, the cloud impacts cybersecurity solutions on two fronts: the need to provide extensive cybersecurity capabilities for cloud-based applications and services; and the transition to security services and solutions based in the cloud themselves.

A recent article quoted a survey that revealed the problems still challenging organizations for effective cybersecurity to protect work done in the cloud:

 In the face of rapid growth of cloud infrastructure across IT, security has not been able to keep up with the pace of change. Approximately 65 percent of respondents say it takes three months or longer to deploy a new security solution for cloud infrastructure environments. The survey showed that more than three-quarters of survey respondents experience tool fatigue and nearly as many said traditional tools don't scale well in cloud environments…

The survey showed that 77 percent of security leaders say they have too many point solutions to do security well in cloud environments, and 76 percent say they lack visibility into attacks through cloud infrastructure.

 

 

 

 

 

 

 

 

 

 

 

Image source: CDN

 

 

Comprehensive integrated / bundled managed services can contribute greatly to reducing the complexity of end-to-end cybersecurity solutions, while drawing on MSP expertise in multiple technology areas that matter greatly for effective cybersecurity. MSPs need to develop integrated services that address the needs of both cloud and on-premises technologies and work processes, while utilizing elastic methodologies to better defend overall infrastructures from cyber threats.

Cloud-based cybersecurity services align well with the movement of managed services to the cloud, to increase flexibility and reduce costs in ways that pay off for clients. It's important to remember that cybersecurity is very technology-intensive and can be quite complex 'internally'. While MSPs can create streamlined services that work well for clients, the less viable notion right now is the ability to make cybersecurity "simple" (in the way that basic SaaS services are known for). It still takes well-experienced tech experts on the job to make sure everything is continuously updated and working optimally.

 

Continuous Data Management and Analytics

Data is an integral part of effective cybersecurity services, to build consolidated views across all infrastructures (cloud, on-premises) in order to locate and monitor cyber threats as they occur. Data must be analyzed, understood and put to work to continuously anticipate new threats and improve technologies and processes for better protection over time.

Data sources include big data that comes from many areas both inside and outside the firewall. Big data analytics, combined with other data sources, can process: patterns of behavior preceding attacks; attack attributes; and other analyses -- to derive invaluable context to better understand how cybersecurity services should respond to and prevent threats. Predictive analytics processes lead to crafting methods to head off new kinds of attacks. Big data analytics will take MSPs into more 'creative' services that must continuously evolve and be highly responsive to the ultra-fast kaleidoscope of cyber attacks.

 

Through integrated / bundled managed services that encompass cybersecurity, cloud platforms, and data management and analytics, MSPs can take on all aspects of comprehensive cybersecurity solutions to free up in-house IT teams for other important tasks -- particularly for proactive business technology activities that directly support the business endeavors, goals and objectives of the organization.

 

 

This post was brought to you by IBM for MSPs and opinions are my own. To read more on this topic, visit IBM's PivotPoint. Dedicated to providing valuable insight from industry thought leaders, PivotPoint offers expertise to help you develop, differentiate and scale your business.

 

About the author: Julie Hunt understands the overlap and convergence of many business processes and software solutions that once were thought of as "separate" – and how this impacts software Vendors and Buyers, as well as the strategies that enterprises implement for how technology supports the business and its customers. Julie shares her takes on the software industry via her blog Highly Competitiveand on Twitter: @juliebhunt For more information: Julie Hunt Consulting – Strategies for B2B Software Solutions: Working from the Customer Perspective