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.
The Latest
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...