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The Future of ITSM: How Are Roles (and Rules) Changing? Part 1

Dennis Drogseth

Both the “rules” and the “roles” governing IT Service Management (ITSM) are evolving to support a far-broader need for inclusiveness across IT, and between IT and its service consumers. Recent EMA research, What Is the Future of IT Service Management? (March 2015), exposed a number of shifting trends that might surprise many in the industry.

In our research, we approached ITSM not only as a set of service management processes, but we also viewed it in the context of recent trends in technology adoption and evolving organizational models. The research spanned 270 respondents in North America and Europe — in roles ranging from executives, to service desk professionals, to operations, and even development personnel — all of whom were actively engaged in ITSM in some way. Company/organizational size was a good mix, as well, ranging in size from 500 employees to more than 20,000 employees. Nearly 50% of those surveyed indicated that their ITSM teams were slated for growth. Another 35% were remaining the same, and only 15% were shrinking in size.

Probably the first thing that stood out in the survey responses was that there is a growing need to more fully integrate the service desk with operations beyond traditional trouble ticketing. This requirement is changing both the roles and the rules of ITSM, especially among the more successful ITSM teams, where dialog between service management professionals and core operations experts is becoming more multifaceted and more service-aware than in the past. In many cases, the more effective ITSM teams are increasingly helping to coordinate and focus operational experts in support of business needs.

Our data showed that the top three strategic priorities for ITSM teams were the following:

■ Improved user experience for internal service consumers (end users)

■ Improved operations-to–service desk integrations for incident and problem management

■ Improved operations-to–service desk integrations for configuration and change management

All three data points call out for stronger operations-to-ITSM integrations — in terms of workflow, analytics, and automation, as well as effective role-aware visualization. As an added confirmation, 55% of our respondents felt that “big data analytics for IT” belong equally to ITSM and operations, and 14% believed that big data was primarily the province of the ITSM team.

Another surprising finding that supports integrated operations was that, for the first time ever, “performance-related service impact” was the dominant use case for CMDB/CMS deployments — followed by asset and change management — once again emphasizing the need to optimize the delivery of critical IT application services and, hence, improve the end-user experience.

Read Part 2 of this blog

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The Future of ITSM: How Are Roles (and Rules) Changing? Part 1

Dennis Drogseth

Both the “rules” and the “roles” governing IT Service Management (ITSM) are evolving to support a far-broader need for inclusiveness across IT, and between IT and its service consumers. Recent EMA research, What Is the Future of IT Service Management? (March 2015), exposed a number of shifting trends that might surprise many in the industry.

In our research, we approached ITSM not only as a set of service management processes, but we also viewed it in the context of recent trends in technology adoption and evolving organizational models. The research spanned 270 respondents in North America and Europe — in roles ranging from executives, to service desk professionals, to operations, and even development personnel — all of whom were actively engaged in ITSM in some way. Company/organizational size was a good mix, as well, ranging in size from 500 employees to more than 20,000 employees. Nearly 50% of those surveyed indicated that their ITSM teams were slated for growth. Another 35% were remaining the same, and only 15% were shrinking in size.

Probably the first thing that stood out in the survey responses was that there is a growing need to more fully integrate the service desk with operations beyond traditional trouble ticketing. This requirement is changing both the roles and the rules of ITSM, especially among the more successful ITSM teams, where dialog between service management professionals and core operations experts is becoming more multifaceted and more service-aware than in the past. In many cases, the more effective ITSM teams are increasingly helping to coordinate and focus operational experts in support of business needs.

Our data showed that the top three strategic priorities for ITSM teams were the following:

■ Improved user experience for internal service consumers (end users)

■ Improved operations-to–service desk integrations for incident and problem management

■ Improved operations-to–service desk integrations for configuration and change management

All three data points call out for stronger operations-to-ITSM integrations — in terms of workflow, analytics, and automation, as well as effective role-aware visualization. As an added confirmation, 55% of our respondents felt that “big data analytics for IT” belong equally to ITSM and operations, and 14% believed that big data was primarily the province of the ITSM team.

Another surprising finding that supports integrated operations was that, for the first time ever, “performance-related service impact” was the dominant use case for CMDB/CMS deployments — followed by asset and change management — once again emphasizing the need to optimize the delivery of critical IT application services and, hence, improve the end-user experience.

Read Part 2 of this blog

Image removed.

Hot Topics

The Latest

People want to be doing more engaging work, yet their day often gets overrun by addressing urgent IT tickets. But thanks to advances in AI "vibe coding," where a user describes what they want in plain English and the AI turns it into working code, IT teams can automate ticketing workflows and offload much of that work. Password resets that used to take 5 minutes per request now get resolved automatically ...

Governments and social platforms face an escalating challenge: hyperrealistic synthetic media now spreads faster than legacy moderation systems can react. From pandemic-related conspiracies to manipulated election content, disinformation has moved beyond "false text" into the realm of convincing audiovisual deception ...

Traditional monitoring often stops at uptime and server health without any integrated insights. Cross-platform observability covers not just infrastructure telemetry but also client-side behavior, distributed service interactions, and the contextual data that connects them. Emerging technologies like OpenTelemetry, eBPF, and AI-driven anomaly detection have made this vision more achievable, but only if organizations ground their observability strategy in well-defined pillars. Here are the five foundational pillars of cross-platform observability that modern engineering teams should focus on for seamless platform performance ...

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...