2015 EMA Research Studies

(1)

2015 EMA

™

Research Studies

LEARN MORE:

For more information on an upcoming EMA Research Study, please contact your EMA Business Development Manager at +1.303.543.9500 or

[email protected]

Application & Business Services

Redefining IT Service

Management (ITSM)

Quarter 1 Dennis Drogseth VP Research

IT Megatrends, Analytics and CMDB Systems

Just as ITSM is becoming more strategic, it is also becoming more fragmented and complex. Vendor solutions for different ITSM components encompass service desk and workflow, configuration, change management and CMDB/CMS, inventory and asset management, service catalogs, IT governance analytics, enterprise services, and social IT. ITSM is also changing in its growing need to assimilate operations analytics and operations insights.

This research addresses how, where, and why IT organizations are seeking to “repackage” ITSM functionality within their organizations. How are trends like mobile, cloud, and agile changing the ITSM landscape? To what degree is ITSM beginning to play a more central role in planning, optimizing, and ensuring value for IT services? To what degree are more traditional ITSM tools becoming marginalized by more operations-centric solutions?

Back to the Future with

the “API Economy”:

Management Strategies

for a New Wave of

Integrated Applications

Quarter 1 Julie Craig Research Director Application Management

Application integration has been a challenge since the mainframe days. An explosion of instrumented and interconnected “things” on the horizon, however, is ushering in unprecedented levels of scale and complexity. This change is forcing application support teams to rethink strategies for delivering applications capable of high-speed execution and real-time processing in large-scale integrated environments. The so-called “API Economy” describes the current approach for passing data and messages between components. These highly integrated scenarios lend themselves to multiple “gotchas,” however. As IT support professionals know, combining the words “heavily integrated,” “high speed,” and “high performance” in a single sentence is an oxymoron of the highest caliber. Without standards, governance, and “API-savvy”

automation, supporting these types of applications can and will heavily impact IT support budgets over time.

(2)

2015 EMA

™

Research Studies

Application & Business Services

CMDB Systems: Making

Change Work in the Age of

Cloud and Agile

Who would have thought that a development organization would have purchased a CMDB in support of its Scrum processes and then pushed that CMDB out into a siloed operations team? Well, it’s already happened. CMDB Systems are far from dead as they reach out in support of DevOps, cloud, and more effective cross-domain, service-aware IT. This unique research project - mirroring a newly released book written by EMA and published by Elsevier - looks at industry innovations in CMDB Systems, including advances in federation and Application Discovery and Dependency Mapping (ADDM), as well as more active linkages with automation and advanced analytics. This research will capture how CMDB Systems are evolving on multiple fronts to become a series of critical resources for a wide variety of use cases, rather than a single, monolithic investment. Additionally, this research will address what technologies are most needed now and in the future to enable CMDB Systems to evolve into fully dynamic, multi-use-case “systems of relevance.”

The Future of Application

Delivery: How DevOps, Big

Operational Data, Emerging

Technologies, and Analytics are

Changing the Face of Business

Quarter 2 Julie Craig Research Director Application Management

Nicholas Carr, admittedly an “IT outsider,” has made a name for himself by writing about the demise of IT. Likening IT services to “utilities” and IT itself to “power companies,” he has consistently overlooked one key but critical point. Hardly a “utility,” IT is, instead, a primordial soup with infinite potential possibilities. In the hands of visionaries and leaders, modern technologies make it possible to create products and services which are distinctive, unique, and highly differentiating.

However, as the role of IT as a revenue generator becomes the central core of many businesses, new questions arise.

• What will applications look like in 2025? • Where and how will applications be hosted?

• Which new technologies will disrupt the industry, and how will they be used?

• Most importantly, as applications become increasingly business differentiating and complex, how can they be managed in a way that protects revenue and preserves the health of the business?

(3)

2015 EMA

™

Research Studies

Application & Business Services

Responsible Application

Delivery: Accelerating the

Lifecycle to make Continuous

Delivery a Reality

Quarter 3 Julie Craig Research Director Application Management Contributing Author: Dennis Drogseth VP Research

While more than 50% of companies indicate they are currently engaged in Continuous Delivery, not all of them are in an organizational state of readiness to absorb high rates of ongoing change. As a consequence, many “Continuous Delivery” consumers are taking manual approaches to software delivery and support, while others are experiencing adverse impact to production systems or IT budgets.

This EMA research examines the organizational best practices and products necessary to build strong foundations to support Continuous Delivery of application software. Via a governed, integrated lifecycle approach, delivery can be accelerated over time in a way that maximizes business value while minimizing the fallout typically associated with change.

This report incorporates select end-user interviews and EMA research data to provide a “roadmap to success” for companies striving to accelerate the delivery of software-based features and capabilities to the fast-paced business.

Bringing Advanced Operations

Analytics (AOA) Home to Roost:

The Executive Perspective

This research presents a top-down look at how AOA adoption is evolving across IT, primarily through the eyes of executives (director and above), and will:

• Provide added insight into IT executive requirements • Add new and current perspectives on AOA use cases • Deliver insight on development and integration priorities • Outline organizational and process issues that may continue to

impact AOA adoption

The research will also help answer questions such as, “To what degree do IT executives view AOA as a strategic resource for transforming their organizations?” and “What would IT executives most like to see in the near term to cut through the AOA mystery and hype?”

Business Intelligence & Data Warehousing

Mid-sized Organization BI

Platform Radar Report

Quarter 3 Lyndsay Wise Research Director Business Intelligence

With a nimble size and drive for innovation, mid-size organizations (companies or departments with less than 500 headcount) have focused on specific skills in technical and business areas. Finding the right mix of features, functions, and economics are the key drivers for their business intelligence and technology choices.

(4)

2015 EMA

™

Research Studies

Business Intelligence & Data Warehousing

Discovery and Self-service BI

Platform Radar Report

Quarter 3 John Myers

Managing Research Director

Business Intelligence and Data Warehousing

Enterprise business intelligence platforms continue to grow in complexity, proficiency, and cost. As a larger and more diverse user group adopts these platforms to drive their business, it is critical to understand the performance and feature details as they pertain to data acquisition, data management, business analytics, knowledge delivery, and actionable intelligence. This EMA Radar Report will compare and contrast the leading enterprise business intelligence platforms in the market to provide detailed

information to users making mission critical investments in these platforms.

Advanced Analytics and

Business Intelligence in the

Cloud

Quarter 4 Lyndsay Wise Research Director Business Intelligence

This end-user research report delivers a global view of the cloud-based implementation market for advanced analytics, business intelligence, and data management. Building upon the success of the 2014 report, Advanced

Analytics and Business Intelligence in the Cloud will look at how organizations

are making horizontal infrastructure choices for their data management initiatives and the business drivers associated with those choices. The project will analyze end-user adoption trends, challenges to implementation, and project implementations drivers behind this critical technology.

Internet of Things: How Devices

Connect for Analytics

Quarter 4 John Myers

Extending from EMA’s big data study released in 2015, this Internet of Things (IoT) research will look at how organizations view IoT and where connected devices such as vehicles, HVAC, and GPS impact top line revenues and bottom line margins. EMA will identify key project attribute trends around IoT analytical workloads. This research will identify obstacles to IOT implementations.

Big Data 2016: Expanding the

Hybrid Data Ecosystem

Quarter 1, 2016 John Myers

Building on the success of the previous EMA big data research report, EMA will extend its research beyond the initial operationalization stages of big data to further explore the value proposition of big data in the enterprise, including the Internet of Things and the Data Lake implementation strategy. EMA will identify key project attribute trends around workload and project challenges. This research will identify obstacles to big data implementation and the opportunities that make big data management so appealing.

(5)

2015 EMA

™

Research Studies

Business Intelligence & Data Warehousing

Data-Driven Cultures: How

Analytics are Being Embedded

in Organizations, Processes,

and Applications

Quarter 1, 2016 Lyndsay Wise Research Director Business Intelligence

Data-driven organizations have either fully integrated data or started with data as the basis for their strategic and operational thinking. These organizations use data and information for finance, marketing, sales, and operations decisions and have built new business models in existing markets using data and information. Data-driven organizations have the following attributes: widespread access to and usage of data, integration of data into strategic decision-making, pervasive usage of data in operational decision-making. Embedded analytics is the technology that integrates analytical capabilities into software applications. When implemented effectively, embedded analytics integrates data collected by operational applications and analytical environments, such as data warehouses and business processes. This research will focus on how data-driven cultures are implementing embedded analytics to drive their strategic, tactical, and operational decision-making.

Network Management

Optimizing Networks for

Application Performance:

Technology Choices and Best

Practices

Quarter 1 Tracy Corbo

Principal Research Analyst Network Management

As the wide-area network (WAN) continues to evolve in terms of viable technology choices, so too are the techniques available for taking control and optimizing application performance across these critical links. As a result, IT architects are faced with new challenges and opportunities in terms of which technologies to use in which situations and settings. This primary research study will examine the ways in which enterprises are using existing optimization technologies – such as ADC/load balancing and WAN optimization, together with optimized business Internet, optimized DNS, and WAN virtualization techniques – and elicit best practices based on technical results and cost effectiveness.

Establishing Visibility and

Managing Policy at the Network

Edge: SDN for Access Networks

and Mobility

Quarter 3 Tracy Corbo

Principal Research Analyst Network Management

(6)

2015 EMA

™

Research Studies

Security

Data Driven Security Reloaded:

How Security Analytics is

improving Breach Detection

and Incidents Response

Quarter 1 David Monahan Research Director

Security and Risk Management

In landmark 2012 research, EMA explored the world of the security practitioner to understand how the need for more and variant sources of data are changing the speed and methods in which they are able to respond. The era of big data has fueled the development of new analytical tools to augment previous attacks and breach identification and response capacities.

In 2014 EMA continued the research, analyzing trends in data collection and analysis. The study identified issues with data correlation, analysis, incident prioritization, and other response problems driven by inadequate tooling and processes. A number of key findings were brought to light in the areas of Security Information and Event Management (SIEM), Security Analytics and Advanced Persistent Threat / Advanced Targeted Attack (APT/ATA) defense technologies.

In 2015, EMA reloads the data driven security report to focus on the mysteries of security analytics, examining how the market perceives the need for endpoint and network analytics and looking to see if there is something in between.

The research will evaluate how security analytics is changing the security solutions market and the playing field for security professionals. Where have early adopters succeeded, and what advice do they have for those considering a similar approach? These and other questions will be in view as EMA takes a closer look at trends defining the continued rise of data driven security in the enterprise.

Security Awareness Training:

Are We Getting any Better at

Organizational and Internet

Security?

Last year, EMA delved into the world of security awareness and policy training. With mega-breaches galore in 2014, the question is has progress been made in training employees to recognize social engineering - whether from phishing, in person, or on the phone?

(7)

2015 EMA

™

Research Studies

Security

Achieving Hi-Fidelity Security

by Combining Packet and

Endpoint Data

No one source can provide all of the data necessary for security monitoring. As the EMA Evolution of Data Driven Security Research Report identified, to be truly effective, organizations need more data and they need it faster. Data breaches are accelerating in frequency and exploding in impact. Early detection of infiltration and compromise are key to response and recovery. Endpoint records are not network aware and network packets can’t detail activities from host-based threats, so security professionals need both.

This primary research study will address:

• How are organizations getting the best advanced warning of an intrusion or a data breach?

• Is there a difference between the relevance of network vs. endpoint data for identifying different attacks?

• Which types of packet and endpoint monitoring approaches are showing the most value and results?

• What are organizations gleaning from packet data that they can’t get from endpoint data and vice versa?

• Are current tools in the network and endpoint industry performing as needed to address advanced threats?

Cloud Security: Delivering

Security for and through the

Cloud

Cloud service usage is growing. While some organizations are fully engaged in public cloud adoption, others are hesitant to dive in and embrace those same services, especially if their intellectual property, private records, or other sensitive data will be there.

This research study will investigate both private and business consumers’ concerns with cloud security to understand the factors impeding adoption and help answer the following questions:

• Is the perceived difference in adoption for personal use and business use really as large as it seems?

• Are there specific security features cloud consumers are looking for as service differentiators?

• Why does it appear that people are more risk tolerant with their personal data than with their business data?

• Does the need for services push companies in the mid-markets to adopt cloud when they are still leery of its security?

• Are security concerns more focused on external or internal attacks or data losses?

(8)

2015 EMA

™

Research Studies

Storage Management

How to Make the Most of Flash

Storage

Quarter 1 Jim Miller Senior Analyst Storage Management

Flash storage is one the most disruptive technologies in the storage industry. The ability to deliver sub-millisecond latencies provides

significant performance benefits to applications such as online transaction processing, video streaming, virtual desktops, gaming, and cloud services. However, all flash is not created equal. The various options available include DIMM and PCIE flash within the server, all flash arrays with native flash or solid state disks, hybrid arrays that are purpose built to cache data in SSDs, and legacy storage solutions that can have SSDs installed. All of these options have different price/performance points, as well as deployment and administration considerations. What applications or use cases are best suited for flash, and which applications can next take advantage of the performance benefits as the price gap between flash and spinning disk storage closes? This primary research will help answer these questions and more.

The Changing Landscape of

Data Protection

Data protection has significant impact on the ability of a company to survive and thrive when data availability events transpire. Storage administrators are faced with ensuring that a company’s data is safe in the event of a disaster, equipment failure, malicious destruction, or accidental corruption. There are financial, productivity, and compliance reasons for keeping data safe and available 24 x 7 x 365 days a year. Solutions that have worked in the past may not be sufficient or cost effective in today’s world of cloud computing, mobile device, big data, and social media. This primary research will examine the current needs of the enterprise for data protection by application type, including recovery time and point objectives, compliance demands, and how the requirements change and shift throughout the information lifecycle. Additionally, the research will examine current practices and identify what is working well and where there is an opportunity for both functional and economic improvement.

Software Defined Storage Radar

Report

The term Software Defined Storage (SDS) includes a broad range of solutions from storage vendors and independent software providers. At the macro level, SDS is an abstraction of physical hardware and software services by intelligent software that can then be provisioned and managed as a single, open, and extensible storage platform. SDS is relatively new to information technology, and the current set of solutions has a wide range of complementary and often differentiated capabilities.

(9)

2015 EMA

™

Research Studies

Storage Management

The Value of Cloud Storage

Cloud. The word has become synonymous with operational resilience and economic flexibility. The smallest home user to the largest corporation is familiar with it. Enterprise IT organizations are facing support for legacy applications, as well as a growing the third tier of mobile, big data, and social media content. One solution is to move everything to the cloud. However, it is not that simple.

Service level, security, and performance requirements must be considered before data is moved. There are also multiple cloud deployments, including private, hybrid, and public clouds. What enterprise application data is best suited for the cloud? Which cloud deployment is best suited for each application use case: hybrid, private, or public? What drove moving this data to the cloud, and were those objectives realized? Is there application data that was moved back to the enterprise or a different cloud deployment? What were the operational, securities, or economic reasons for moving this data back?

This primary research quantifies what has worked and, just as importantly, what has not worked with enterprise cloud storage.

End Point and Mobility Management

Desktop Virtualization

Emerging Requirements and

Solutions

Quarter 1 Steve Brasen

Managing Research Director Systems Management

It is evident that there has been an increase in adoption of desktop virtualization platforms, including terminal services, virtual desktop infrastructure (VDI), OS streaming, and client hosted virtualization. But who is actually using these resources? How effective are they? What is the current and future level of adoption? How are these environments being managed? These and many other critical questions will be answered in this primary research on one of the most important rapidly emerging technology platforms. Separate surveys targeted at both end users and IT managers will provide an accurate cross-section of how organizations are utilizing and managing desktop virtualization implementations.

Enabling Mobile Workforce

Productivity: Actually

Getting Work Done on Your

Smartphone or Tablet

(10)

2015 EMA

™

Research Studies

End Point and Mobility Management

Client Lifecycle Management

(CLM) Radar Report

Since the initial release of the Client Lifecycle Management Radar Report in 2011, significant changes have occurred in the way desktop and laptops PCs are used and supported in the workplace. With business resources (applications, data, and services) distributed across business data centers, virtual infrastructure, web services, and public clouds, there is a broader recognition of the need for greater accessibility to business resources while still meeting business requirements. Client Lifecycle Management incorporates all support process for managed Windows and Mac endpoints from initial deployment through final retirement. This comprehensive evaluation of the most popular CLM solution suites will clearly identify which provide the most sweeping management coverage, which achieve the greatest value (i.e. cost vs. functionality), and which feature sets each product particularly excels in supporting. Also reviewed will be the breadth of coverage provided for multiple platform types as well as the breadth of integration provided both with the vendors own product sets and with third- party products.

How BYOD is Changing the

Face of Enterprise IT

Enterprise professionals are increasingly employing personally-owned smartphones, tablets, and laptops to perform business tasks. Bring Your Own Device (BYOD) processes have been broadly adopted to deliver, secure, and support business applications, data, and services on employee-owned devices. This primary research will identify the core requirements and challenges for enabling reliable user access to business services from these employee devices. Additional, the research will evaluate the effectiveness of key technologies for segmenting business resources from an employee’s personal resources – such as containerization, app wrapping, and virtualization – and will identify how IT management processes have changed to support BYOD initiatives.

Learn More

For more information on upcoming EMA research studies, please contact an EMA business development manager at +1.303.543.9500 or [email protected].

About Enterprise Management Associates (EMA)

Founded in 1996, EMA is a leading industry analyst firm that provides deep insight across the full spectrum of IT and data management technologies. EMA analysts leverage a unique combination of practical