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The Enterprise Service Catalog - Unifying IT Services for the Digital Age

Dennis Drogseth

While service catalogs are not new, they are becoming increasingly critical to enterprises seeking to optimize IT efficiencies, service delivery and business outcomes. They are also a way of supporting both enterprise and IT services, as well as optimizing IT for cost and value with critical metrics and insights. In this blog, we'll look at how and why service catalogs are becoming ever more important both to IT organizations and to the businesses and organizations they serve.

What's Cooking in General with Service Catalog Deployments?

Potentially, service catalogs can span everything from supporting internal IT professional needs to end-user needs for IT support, to end-user access to internally delivered software and applications, to support for third-party cloud services across the board, to actual support for enterprise (non-IT) services as managed through an integrated service desk.

Of course the game is changing, with added pressures to support cloud, mobile and enterprise (non-IT) services. But data and dialogs from last year show clear trends that reflect pushing the bar forward in all these areas from past years — with a striking diversity of options. Indeed, enhanced automation for self-service was and remains at the very top of the list for IT service management priorities going forward.

Interestingly enough, internal IT-to-IT provisioning (new servers, deployment requests, etc.) and support for IT professional services (as in project management capabilities) remain among the highest priorities for enterprise service catalogs. But close behind, are:

■ Support for cloud and non-cloud delivered applications

■ End-user access to production services/ applications

■ End-user device (PC, laptop and mobile) provisioning

■ End-user support (help and incident management)

Perhaps not surprisingly, true "appstore" type access for end-user self-service provisioning was far behind these priorities in mid-year 2015. But current EMA dialogs show a growing interest in providing a more complete and self-sufficient storefront approach.

A Few Critical Service Catalog Dimensions

The dimensions of how this is done can range drastically in scope, but ideally enterprise service catalogs will provide metrics for cost and usage, selective service level (service quality) guarantees as appropriate, strong support for secure and appropriate access based on end-user or IT professional roles, and integrated levels of automation to make service provisioning more dynamic, accessible and efficient. Oh, and yes, in the more advanced IT environments, service catalog integrations can handshake as well with service modeling and configuration management databases (CMDBs) to enable yet more advanced levels of automation This can be especially helpful when catalog services are tied to development and DevOps initiatives.

And finally, service catalog access should span not only desktop and laptop access, but increasingly mobile access as appropriate. For instance, nearly two-thirds of our respondents in last year's research were seeking to provide mobile access to corporate application services, and that percentage is steadily climbing higher, as mobile continues to redefine IT and consumer priorities.

Growing areas of interest for service catalog inclusions: cloud and enterprise services

Even last year support for cloud services in service catalogs was striking — at nearly 90%. And cloud priorities in type reflect a growing and rich diversity. These include:

■ Internal software-as-a-service (SaaS) applications

■ Internal infrastructure-as-a-service (IaaS) services

■ Software-as-a-service from public cloud

■ Infrastructure as a service from public cloud

■ Internal platform-as-a-service (PaaS) offerings

■ Platform-as-a-service from public cloud

The above list is in ranked order based on mid-year 2015, and subsequent dialog and research in 2016 would indicate a fair amount of consistency, but with a modestly growing preference for public cloud.

Just as striking as cloud in its impact on IT is the growth of including enterprise service support through integrated service desk and IT service management options. Indeed, a separate commentary on the coming together of business process automation (BPA) and IT process automation (ITPA) — (it isn't really quite there yet) — would probably warrant at least a blog, and maybe a book. But this coming together is reflective of the striking number of IT organizations that are making the leap. Indeed, even a year ago, only 11% had no plans to consolidate IT and non-IT customer service.

In terms of service catalog specifics, the following enterprise groups were shown to depend on service catalogs to support their services:

■ Vendor and contract management

■ Facilities management

■ Purchasing

■ Enterprise operations

■ Sales

■ Human Resources

■ Marketing

■ External customer facing catalog options

■ Corporate finance

■ Legal

What Makes for Success When It Comes to Service Catalog Adoption?

As many of my readers know by now, in most of my research I like to contrast those who view themselves as ‘extremely successful' with those who were only marginally so (the two extremes), which almost always produces meaningful patterns of difference. In this case, the following patterns arose:

Those ITSM teams who viewed themselves as extremely successful were:

■ 2X more likely to have a service catalog

■ 2X more likely to offer users access to corporate applications through mobile

■ Dramatically more likely to support cloud-related services in their catalogs. In fact they were 5X more likely to support SaaS from public cloud and 6X more likely to support PaaS from public cloud.

■ Considerably more likely to support enterprise services, including:
- 2X more likely to support human resources
- 3X more likely to support facilities management
- 2X more likely to support legal
- More than 4X more likely to support purchasing
- 5X more likely to support marketing
- Nearly 3X more likely to support enterprise operations

Given this rather heady show of data, it becomes harder and harder to argue against the impression that we're not only living in the midst of the "digital age" in which "digital transformation" is key, but that service catalogs are increasingly becoming a critical cornerstone in making digital transformation yet more of a reality. Current EMA research, underway now, will explore the role of service catalogs in optimizing IT for cost and value. I'll be sharing these highlights with you in another blog later in Q3.

Image removed.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The Enterprise Service Catalog - Unifying IT Services for the Digital Age

Dennis Drogseth

While service catalogs are not new, they are becoming increasingly critical to enterprises seeking to optimize IT efficiencies, service delivery and business outcomes. They are also a way of supporting both enterprise and IT services, as well as optimizing IT for cost and value with critical metrics and insights. In this blog, we'll look at how and why service catalogs are becoming ever more important both to IT organizations and to the businesses and organizations they serve.

What's Cooking in General with Service Catalog Deployments?

Potentially, service catalogs can span everything from supporting internal IT professional needs to end-user needs for IT support, to end-user access to internally delivered software and applications, to support for third-party cloud services across the board, to actual support for enterprise (non-IT) services as managed through an integrated service desk.

Of course the game is changing, with added pressures to support cloud, mobile and enterprise (non-IT) services. But data and dialogs from last year show clear trends that reflect pushing the bar forward in all these areas from past years — with a striking diversity of options. Indeed, enhanced automation for self-service was and remains at the very top of the list for IT service management priorities going forward.

Interestingly enough, internal IT-to-IT provisioning (new servers, deployment requests, etc.) and support for IT professional services (as in project management capabilities) remain among the highest priorities for enterprise service catalogs. But close behind, are:

■ Support for cloud and non-cloud delivered applications

■ End-user access to production services/ applications

■ End-user device (PC, laptop and mobile) provisioning

■ End-user support (help and incident management)

Perhaps not surprisingly, true "appstore" type access for end-user self-service provisioning was far behind these priorities in mid-year 2015. But current EMA dialogs show a growing interest in providing a more complete and self-sufficient storefront approach.

A Few Critical Service Catalog Dimensions

The dimensions of how this is done can range drastically in scope, but ideally enterprise service catalogs will provide metrics for cost and usage, selective service level (service quality) guarantees as appropriate, strong support for secure and appropriate access based on end-user or IT professional roles, and integrated levels of automation to make service provisioning more dynamic, accessible and efficient. Oh, and yes, in the more advanced IT environments, service catalog integrations can handshake as well with service modeling and configuration management databases (CMDBs) to enable yet more advanced levels of automation This can be especially helpful when catalog services are tied to development and DevOps initiatives.

And finally, service catalog access should span not only desktop and laptop access, but increasingly mobile access as appropriate. For instance, nearly two-thirds of our respondents in last year's research were seeking to provide mobile access to corporate application services, and that percentage is steadily climbing higher, as mobile continues to redefine IT and consumer priorities.

Growing areas of interest for service catalog inclusions: cloud and enterprise services

Even last year support for cloud services in service catalogs was striking — at nearly 90%. And cloud priorities in type reflect a growing and rich diversity. These include:

■ Internal software-as-a-service (SaaS) applications

■ Internal infrastructure-as-a-service (IaaS) services

■ Software-as-a-service from public cloud

■ Infrastructure as a service from public cloud

■ Internal platform-as-a-service (PaaS) offerings

■ Platform-as-a-service from public cloud

The above list is in ranked order based on mid-year 2015, and subsequent dialog and research in 2016 would indicate a fair amount of consistency, but with a modestly growing preference for public cloud.

Just as striking as cloud in its impact on IT is the growth of including enterprise service support through integrated service desk and IT service management options. Indeed, a separate commentary on the coming together of business process automation (BPA) and IT process automation (ITPA) — (it isn't really quite there yet) — would probably warrant at least a blog, and maybe a book. But this coming together is reflective of the striking number of IT organizations that are making the leap. Indeed, even a year ago, only 11% had no plans to consolidate IT and non-IT customer service.

In terms of service catalog specifics, the following enterprise groups were shown to depend on service catalogs to support their services:

■ Vendor and contract management

■ Facilities management

■ Purchasing

■ Enterprise operations

■ Sales

■ Human Resources

■ Marketing

■ External customer facing catalog options

■ Corporate finance

■ Legal

What Makes for Success When It Comes to Service Catalog Adoption?

As many of my readers know by now, in most of my research I like to contrast those who view themselves as ‘extremely successful' with those who were only marginally so (the two extremes), which almost always produces meaningful patterns of difference. In this case, the following patterns arose:

Those ITSM teams who viewed themselves as extremely successful were:

■ 2X more likely to have a service catalog

■ 2X more likely to offer users access to corporate applications through mobile

■ Dramatically more likely to support cloud-related services in their catalogs. In fact they were 5X more likely to support SaaS from public cloud and 6X more likely to support PaaS from public cloud.

■ Considerably more likely to support enterprise services, including:
- 2X more likely to support human resources
- 3X more likely to support facilities management
- 2X more likely to support legal
- More than 4X more likely to support purchasing
- 5X more likely to support marketing
- Nearly 3X more likely to support enterprise operations

Given this rather heady show of data, it becomes harder and harder to argue against the impression that we're not only living in the midst of the "digital age" in which "digital transformation" is key, but that service catalogs are increasingly becoming a critical cornerstone in making digital transformation yet more of a reality. Current EMA research, underway now, will explore the role of service catalogs in optimizing IT for cost and value. I'll be sharing these highlights with you in another blog later in Q3.

Image removed.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.