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Increased Focus on Digital Experience Management Prompts New Research

Dennis Drogseth and Julie Craig

Digital and user experience management has been the focus of multiple EMA research studies throughout the years, both as a stand-alone topic and as part of EMA’s ongoing examination of critical trends such as digital and operational transformation, IT performance optimization, and of course Application Performance Management (APM). In many respects, optimizing the digital experience for both internal end users and external customers, partners and suppliers, is at the very vanguard of all these trends. It was, for instance, the number one technology requirement in EMA’s digital transformation research.

EMA has already seen a wide range of benefits arising from more effective digital experience management. These include but are not limited to:

■ Business process optimization, given that an increasing number of business behaviors and outcomes depend on transactional interaction.

■ Business competitive, brand protection and/or revenue, as consumer interaction across the Internet is redefining both business models and business success.

■ Support for/ enabling a more effective move to cloud, as user experience management (UEM) and customer experience optimization are becoming the ultimate tests for gauging public and private cloud effectiveness.

■ Improved IT operational efficiency, as UEM can help enable IT teams to triage and prioritize far more effectively than purely siloed and component-centric insights. These efficiencies also spread far beyond operations per se to include development and IT service management teams.

■ Improved development/DevOps and agile effectiveness, by having cohesive and integrated insights into real user experience indicators across the full lifecycle of an application. These can inform on application design as well as performance.

On the other hand, monitoring, managing and even understanding the full implications of application transaction performance gets harder every year. And in the technology world, “hard” to manage is nearly synonymous with “expensive” to manage.

Particularly in this age of technology abstraction — think cloud, virtualization, containers and other technologies which separate physical infrastructure from logical execution constructs — the tasks of tracking, monitoring, and managing service quality must be automated. Abstraction adds more elements to topologies, more technologies to the list of “must have” skills, and more potential points of failure.

EMA’s latest APM research findings strongly indicate that application-related issues are increasing support costs across the board.

In terms of supporting on-premise hosted services:

■ “Excessive time troubleshooting” is the #1 application-related problem reported by IT professionals.

■ “Excessive downtime”, “lack of visibility to end-to-end execution”, and “high fixed costs relating to application support” are tied for #2.

IT teams are struggling with cloud-hosted services as well: “Transactions traversing the public Internet” are cited as #2 on the list of technologies IT organizations are “least prepared to support”, behind only Software Defined Data Centers.

Whether from an internal data center or cloud-delivered, lack of Internet visibility is particularly troubling because an enormous percentage of today’s business transactions – even those running on corporate networks— interact with the Internet in some way, shape, or form.

But digital experience management also requires attention to metrics, teamwork, dialog, organization and process issues, and we will examine those as well.

This research will answer questions such as:

■ How is digital experience being measured? What are the winning combinations? What metrics really matter?

■ What roles and organizations are most involved in digital experience management? (The answers might surprise you there, as we have already seen the growing relevance not only of development, but IT service management teams, the IT executive suite, and a wide variety of business stakeholders.)

■ The next question is then — how do organization, process priorities and leadership equate with success?

■ And finally, how do all these dimensions come together in terms of technology priorities for instrumenting, analyzing and understanding digital experience management in all its dimensions?

In other words, if you’re developing solutions to measure and optimize the digital experience of internal and external IT service consumers (including the thorny issues surrounding application delivery over hybrid environments) — what should you care most about, and why?

Our joint research spans advanced IT analytics, operational transformation, ITSM-operations integration and APM, and will examine all these technical dimensions and more, as they relate to optimizing the digital experience from both an IT and a business perspective. EMA Vice President Dennis Drogseth and Julie Craig, Research Director for Application Management, will combine forces to examine digital experience management in all of its technical, organizational, process and business implications as they increasingly span the walls dividing today’s IT markets and organizational boundaries.

Sponsorship invitations will be sent out to vendors later this week. If you don’t receive one and would like to participate, please contact Julie Craig or Dennis Drogseth.

Dennis Drogseth is VP at Enterprise Management Associates (EMA).

Julie Craig is Research Director for Application Management at Enterprise Management Associates (EMA).

Image removed.

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Increased Focus on Digital Experience Management Prompts New Research

Dennis Drogseth and Julie Craig

Digital and user experience management has been the focus of multiple EMA research studies throughout the years, both as a stand-alone topic and as part of EMA’s ongoing examination of critical trends such as digital and operational transformation, IT performance optimization, and of course Application Performance Management (APM). In many respects, optimizing the digital experience for both internal end users and external customers, partners and suppliers, is at the very vanguard of all these trends. It was, for instance, the number one technology requirement in EMA’s digital transformation research.

EMA has already seen a wide range of benefits arising from more effective digital experience management. These include but are not limited to:

■ Business process optimization, given that an increasing number of business behaviors and outcomes depend on transactional interaction.

■ Business competitive, brand protection and/or revenue, as consumer interaction across the Internet is redefining both business models and business success.

■ Support for/ enabling a more effective move to cloud, as user experience management (UEM) and customer experience optimization are becoming the ultimate tests for gauging public and private cloud effectiveness.

■ Improved IT operational efficiency, as UEM can help enable IT teams to triage and prioritize far more effectively than purely siloed and component-centric insights. These efficiencies also spread far beyond operations per se to include development and IT service management teams.

■ Improved development/DevOps and agile effectiveness, by having cohesive and integrated insights into real user experience indicators across the full lifecycle of an application. These can inform on application design as well as performance.

On the other hand, monitoring, managing and even understanding the full implications of application transaction performance gets harder every year. And in the technology world, “hard” to manage is nearly synonymous with “expensive” to manage.

Particularly in this age of technology abstraction — think cloud, virtualization, containers and other technologies which separate physical infrastructure from logical execution constructs — the tasks of tracking, monitoring, and managing service quality must be automated. Abstraction adds more elements to topologies, more technologies to the list of “must have” skills, and more potential points of failure.

EMA’s latest APM research findings strongly indicate that application-related issues are increasing support costs across the board.

In terms of supporting on-premise hosted services:

■ “Excessive time troubleshooting” is the #1 application-related problem reported by IT professionals.

■ “Excessive downtime”, “lack of visibility to end-to-end execution”, and “high fixed costs relating to application support” are tied for #2.

IT teams are struggling with cloud-hosted services as well: “Transactions traversing the public Internet” are cited as #2 on the list of technologies IT organizations are “least prepared to support”, behind only Software Defined Data Centers.

Whether from an internal data center or cloud-delivered, lack of Internet visibility is particularly troubling because an enormous percentage of today’s business transactions – even those running on corporate networks— interact with the Internet in some way, shape, or form.

But digital experience management also requires attention to metrics, teamwork, dialog, organization and process issues, and we will examine those as well.

This research will answer questions such as:

■ How is digital experience being measured? What are the winning combinations? What metrics really matter?

■ What roles and organizations are most involved in digital experience management? (The answers might surprise you there, as we have already seen the growing relevance not only of development, but IT service management teams, the IT executive suite, and a wide variety of business stakeholders.)

■ The next question is then — how do organization, process priorities and leadership equate with success?

■ And finally, how do all these dimensions come together in terms of technology priorities for instrumenting, analyzing and understanding digital experience management in all its dimensions?

In other words, if you’re developing solutions to measure and optimize the digital experience of internal and external IT service consumers (including the thorny issues surrounding application delivery over hybrid environments) — what should you care most about, and why?

Our joint research spans advanced IT analytics, operational transformation, ITSM-operations integration and APM, and will examine all these technical dimensions and more, as they relate to optimizing the digital experience from both an IT and a business perspective. EMA Vice President Dennis Drogseth and Julie Craig, Research Director for Application Management, will combine forces to examine digital experience management in all of its technical, organizational, process and business implications as they increasingly span the walls dividing today’s IT markets and organizational boundaries.

Sponsorship invitations will be sent out to vendors later this week. If you don’t receive one and would like to participate, please contact Julie Craig or Dennis Drogseth.

Dennis Drogseth is VP at Enterprise Management Associates (EMA).

Julie Craig is Research Director for Application Management at Enterprise Management Associates (EMA).

Image removed.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...