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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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Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

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

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...