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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.

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The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...