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Are You Thinking of Investing in Advanced IT Analytics?

(Hint - it's probably a good idea)
Dennis Drogseth

There may be no more critical emerging technology for IT organizations in the digital age than advanced IT analytics (AIA) — most commonly called “operational analytics.” EMA prefers the term “advanced IT analytics” because these investments, while often centered in operations, can go far beyond classic IT operations to support IT service management (ITSM) teams, development, and the IT executive suite, as well as a growing range of business stakeholders.

AIA is also an area of incredible industry innovation. So far, at least, the leading AIA vendors have not been constrained by rigid technology-driven market definitions of the kind that, for instance, nearly doomed the evolution of configuration management databases (CMDBs).

Instead, AIA solutions are evolving in multiple flavors with a growing range of benefits — most often centered in performance and availability management for IT, but also, and increasingly, addressing change impact awareness, integrated support for change management, and even integrated capabilities for capacity planning and analytics.

It is with this in mind that EMA is launching what we believe is the first ever buyer's guide for AIA adoption: Leaders in Advanced IT Analytics: A Buyer's Guide for Investing in Innovation. To do this, EMA has invited 13 vendors — each with a distinctive footprint — which have met the following set of requirements that made them candidates for this guide.

■ Support for performance, availability and change impact awarenesswith both real-time and historical insights. We also looked for corollaries in change management, capacity planning and capacity optimization when appropriate.

■ Assimilation of data from cross-domain sources in high data volumesfor cross-domain insights, as well as insights into application/infrastructure interdependencies. These interdependency insights can be purely analytic, or affiliated with topology and/or modeling.

■ The ability to access multiple data types, e.g. events, KPIs, logs, flow, configuration data, etc.

■ Capabilities for self-learning, to deliver predictive, and/or prescriptive, and/or if/then actionable insights.

■ Support for a wide range of advanced heuristics such as multivariate analysis, machine learning, streaming data, tiered analytics, cognitive analytics, etc.

■ Use as strategic overlays that may assimilate or consolidate multiple monitoring investments.

■ Support for private cloud, public cloud, as well as hybrid/legacy environments.

Moreover, all 13 vendors have been carefully assessed and vetted in working with EMA, including validation through dialogs with customer deployments.

Who's Not Included?

This buyer's guide is directed at what EMA believes is the AIA heartland, but it is also a first step in charting the broader AIA landscape.

Saved for future evaluations are:

■ AIA solutions that do not support real-time as well as predictive performance-related insights.

■ Cross-domain AIA focused on single targeted data collection — most notably wire, packet or flow data.

■ Monitoring suites with growing investments in analytics, but which don't yet meet all the criteria listed above.

■ Domain-specific AIA — targeted at specific use cases in systems-only, or network-only arenas.

How and Where to Learn More

EMA will be launching the Buyer's Guide with a webinar on September 21, and will do our best to make it a resource for anyone in IT seriously interested in IT analytic adoption.

Our buyer's guide is not about winners or losers — but rather a detailed evaluation of each vendor's design point, attributes, capabilities, market history and unique strengths. These assessments have been supplemented with interviews with actual deployments to further inform each assessment.

Coming AIA Blogs

Looking ahead, I'll be doing follow-up blogs on the following topics:

Shopping Cart Criteria — a more detailed look at how we did our assessments

Winning strategies for AIA adoption— based on this research, as well as prior research done over the period of the last three years — including roadblocks and organizational as well as technology concerns

AIA benefits— what to look for in getting AIA successfully on board, based once again on this and three years of past research

Looking Forward and Looking Back— a broader assessment of what we learned and what we expect to see as AIA evolves

In the meantime, I do welcome your questions and comments regarding your own AIA experiences and needs. You can reach me at drogseth@emausa.com

Read the second blog in the series about AIA: Why Advanced IT Analytics Deployments Show Benefits That Are Too Good To Miss

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Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

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Are You Thinking of Investing in Advanced IT Analytics?

(Hint - it's probably a good idea)
Dennis Drogseth

There may be no more critical emerging technology for IT organizations in the digital age than advanced IT analytics (AIA) — most commonly called “operational analytics.” EMA prefers the term “advanced IT analytics” because these investments, while often centered in operations, can go far beyond classic IT operations to support IT service management (ITSM) teams, development, and the IT executive suite, as well as a growing range of business stakeholders.

AIA is also an area of incredible industry innovation. So far, at least, the leading AIA vendors have not been constrained by rigid technology-driven market definitions of the kind that, for instance, nearly doomed the evolution of configuration management databases (CMDBs).

Instead, AIA solutions are evolving in multiple flavors with a growing range of benefits — most often centered in performance and availability management for IT, but also, and increasingly, addressing change impact awareness, integrated support for change management, and even integrated capabilities for capacity planning and analytics.

It is with this in mind that EMA is launching what we believe is the first ever buyer's guide for AIA adoption: Leaders in Advanced IT Analytics: A Buyer's Guide for Investing in Innovation. To do this, EMA has invited 13 vendors — each with a distinctive footprint — which have met the following set of requirements that made them candidates for this guide.

■ Support for performance, availability and change impact awarenesswith both real-time and historical insights. We also looked for corollaries in change management, capacity planning and capacity optimization when appropriate.

■ Assimilation of data from cross-domain sources in high data volumesfor cross-domain insights, as well as insights into application/infrastructure interdependencies. These interdependency insights can be purely analytic, or affiliated with topology and/or modeling.

■ The ability to access multiple data types, e.g. events, KPIs, logs, flow, configuration data, etc.

■ Capabilities for self-learning, to deliver predictive, and/or prescriptive, and/or if/then actionable insights.

■ Support for a wide range of advanced heuristics such as multivariate analysis, machine learning, streaming data, tiered analytics, cognitive analytics, etc.

■ Use as strategic overlays that may assimilate or consolidate multiple monitoring investments.

■ Support for private cloud, public cloud, as well as hybrid/legacy environments.

Moreover, all 13 vendors have been carefully assessed and vetted in working with EMA, including validation through dialogs with customer deployments.

Who's Not Included?

This buyer's guide is directed at what EMA believes is the AIA heartland, but it is also a first step in charting the broader AIA landscape.

Saved for future evaluations are:

■ AIA solutions that do not support real-time as well as predictive performance-related insights.

■ Cross-domain AIA focused on single targeted data collection — most notably wire, packet or flow data.

■ Monitoring suites with growing investments in analytics, but which don't yet meet all the criteria listed above.

■ Domain-specific AIA — targeted at specific use cases in systems-only, or network-only arenas.

How and Where to Learn More

EMA will be launching the Buyer's Guide with a webinar on September 21, and will do our best to make it a resource for anyone in IT seriously interested in IT analytic adoption.

Our buyer's guide is not about winners or losers — but rather a detailed evaluation of each vendor's design point, attributes, capabilities, market history and unique strengths. These assessments have been supplemented with interviews with actual deployments to further inform each assessment.

Coming AIA Blogs

Looking ahead, I'll be doing follow-up blogs on the following topics:

Shopping Cart Criteria — a more detailed look at how we did our assessments

Winning strategies for AIA adoption— based on this research, as well as prior research done over the period of the last three years — including roadblocks and organizational as well as technology concerns

AIA benefits— what to look for in getting AIA successfully on board, based once again on this and three years of past research

Looking Forward and Looking Back— a broader assessment of what we learned and what we expect to see as AIA evolves

In the meantime, I do welcome your questions and comments regarding your own AIA experiences and needs. You can reach me at drogseth@emausa.com

Read the second blog in the series about AIA: Why Advanced IT Analytics Deployments Show Benefits That Are Too Good To Miss

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...