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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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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

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...