Skip to main content

ITSM That's Ready When Tomorrow Happens Today

Valerie O'Connell
EMA

In ancient times — February 2020 — EMA research found that more than 50% of IT leaders surveyed were considering new ITSM platforms in the near future. The future arrived with a bang as IT organizations turbo-pivoted to deliver and support unprecedented levels and types of services to a global workplace suddenly working from home.

Overnight, ITSM organizations aimed existing platforms, people, and processes at the moving target of unprecedented and unpredictable change. Their aim has been surprisingly good. Although there have been some public glitches, the move from fire drill to productivity has largely avoided chaos as an interim step — but success has been neither universal nor smooth.

From Competitive Advantage to Competitive Table Stakes

Organizations that were advanced in their digital transformation agendas were also well-placed to take these changes in stride. Across industries and organizations of all sizes, change is the new normal. Always a desirable attribute, the ability to support business in a rolling sequence of scenarios is now a baseline requirement. That ability, which was formerly seen as a competitive advantage, has been promoted to competitive table stakes.

EMA research indicates that the installed base of ITSM platforms and solutions is a very mature one. More than half have been in place for three years or more, with 20% passing the five-year mark. If half of EMA's survey base was exploring new options back in February of 2020, it is logical to assume that the experiences since that time will swell the ranks of ITSM shoppers in the near future (1-2 years).

What should they be looking for?

Of course, they should be looking first at their own environments, objectives, advantages, and challenges to formulate requirements specific to the needs of their organizations. It is a mistake to choose a solution primarily because it has been named a winner, crowned in the vacuum of pure theory and features. When EMA ranks vendor solutions, it does so within the context of use cases and requirements rather than against static feature weightings.

However, there are foundational characteristics and attributes that can inform the vendor selection process. The goal is an ITSM function that facilitates today's business and is continually tomorrow-ready no matter what tomorrow may bring or how often tomorrow changes its mind.

Three Strategic Considerations for Tomorrow-Ready ITSM

Beyond the specifics of platform or solution functionality, there are three overarching strategic areas of consideration:

Ongoing transformation and innovation: The phrase "get back to normal" represents an understandable but wrong-headed sentiment. There is no going back. Normal is a state of change. Organizations have the opportunity to not only do better now, but to do things differently. EMA research finds that scalability, extensibility, and ease of both integration and use are the primary attributes of a successful, agile, strategic ITSM investment decision.

Automation: Part cliché, part mandate, the drive to do more with less has been a constant presence in IT since the earliest mainframe. The challenge remains current; the opportunities change with time. Technology and vision are finally on par. With automation today, ITSM organizations have the chance to radically alter and redefine the types, quality, and speed of service it offers and supports. EMA research shows that automation can be a double-edged sword. ITSM platforms must be capable of vigorously incorporating automation, while pacing implementation to an organization's ability to productively consume it.

End-user experience and productivity: As the lines between business and IT rapidly blur, end-user experience has become almost indistinguishable from productivity. ITSM platforms need to deliver services that are meaningful in purpose and excellent in execution to both internal and external users. Whether offering non-IT functionality in enterprise service management (ESM) offerings, a range of self-service capabilities, or the DevOps advantage of bringing code closer to its performance, ITSM solutions must be flexible and innovative to consistently meet and exceed user expectations for service excellence.

ITSM is logically positioned to drive innovation, unite automation initiatives, and unify collaborative, cross-functional processes. However, the ability to execute requires a strategic vision and valuation of the ITSM function and an ITSM platform that is ready when tomorrow happens today.

Tomorrow-ready ITSM today: 3 key strategies, EMA webinar

Join EMA research director Valerie O'Connell for a research-informed drilldown on these key strategies for an ITSM function that will thrive long past this current crisis.

Date: June 4, 2020

Register for the webinar.

Valerie O'Connell is EMA Research Director of Digital Service Execution

Hot Topics

The Latest

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 ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

ITSM That's Ready When Tomorrow Happens Today

Valerie O'Connell
EMA

In ancient times — February 2020 — EMA research found that more than 50% of IT leaders surveyed were considering new ITSM platforms in the near future. The future arrived with a bang as IT organizations turbo-pivoted to deliver and support unprecedented levels and types of services to a global workplace suddenly working from home.

Overnight, ITSM organizations aimed existing platforms, people, and processes at the moving target of unprecedented and unpredictable change. Their aim has been surprisingly good. Although there have been some public glitches, the move from fire drill to productivity has largely avoided chaos as an interim step — but success has been neither universal nor smooth.

From Competitive Advantage to Competitive Table Stakes

Organizations that were advanced in their digital transformation agendas were also well-placed to take these changes in stride. Across industries and organizations of all sizes, change is the new normal. Always a desirable attribute, the ability to support business in a rolling sequence of scenarios is now a baseline requirement. That ability, which was formerly seen as a competitive advantage, has been promoted to competitive table stakes.

EMA research indicates that the installed base of ITSM platforms and solutions is a very mature one. More than half have been in place for three years or more, with 20% passing the five-year mark. If half of EMA's survey base was exploring new options back in February of 2020, it is logical to assume that the experiences since that time will swell the ranks of ITSM shoppers in the near future (1-2 years).

What should they be looking for?

Of course, they should be looking first at their own environments, objectives, advantages, and challenges to formulate requirements specific to the needs of their organizations. It is a mistake to choose a solution primarily because it has been named a winner, crowned in the vacuum of pure theory and features. When EMA ranks vendor solutions, it does so within the context of use cases and requirements rather than against static feature weightings.

However, there are foundational characteristics and attributes that can inform the vendor selection process. The goal is an ITSM function that facilitates today's business and is continually tomorrow-ready no matter what tomorrow may bring or how often tomorrow changes its mind.

Three Strategic Considerations for Tomorrow-Ready ITSM

Beyond the specifics of platform or solution functionality, there are three overarching strategic areas of consideration:

Ongoing transformation and innovation: The phrase "get back to normal" represents an understandable but wrong-headed sentiment. There is no going back. Normal is a state of change. Organizations have the opportunity to not only do better now, but to do things differently. EMA research finds that scalability, extensibility, and ease of both integration and use are the primary attributes of a successful, agile, strategic ITSM investment decision.

Automation: Part cliché, part mandate, the drive to do more with less has been a constant presence in IT since the earliest mainframe. The challenge remains current; the opportunities change with time. Technology and vision are finally on par. With automation today, ITSM organizations have the chance to radically alter and redefine the types, quality, and speed of service it offers and supports. EMA research shows that automation can be a double-edged sword. ITSM platforms must be capable of vigorously incorporating automation, while pacing implementation to an organization's ability to productively consume it.

End-user experience and productivity: As the lines between business and IT rapidly blur, end-user experience has become almost indistinguishable from productivity. ITSM platforms need to deliver services that are meaningful in purpose and excellent in execution to both internal and external users. Whether offering non-IT functionality in enterprise service management (ESM) offerings, a range of self-service capabilities, or the DevOps advantage of bringing code closer to its performance, ITSM solutions must be flexible and innovative to consistently meet and exceed user expectations for service excellence.

ITSM is logically positioned to drive innovation, unite automation initiatives, and unify collaborative, cross-functional processes. However, the ability to execute requires a strategic vision and valuation of the ITSM function and an ITSM platform that is ready when tomorrow happens today.

Tomorrow-ready ITSM today: 3 key strategies, EMA webinar

Join EMA research director Valerie O'Connell for a research-informed drilldown on these key strategies for an ITSM function that will thrive long past this current crisis.

Date: June 4, 2020

Register for the webinar.

Valerie O'Connell is EMA Research Director of Digital Service Execution

Hot Topics

The Latest

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 ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...