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The Magnificent Seven ITSM 2.0 Challenges

Dennis Drogseth

This is my second blog targeting the next generation of IT service management, or ITSM 2.0. The first blog described the characteristics I see as defining ITSM 2.0. Here we’ll look more closely at the key challenges you might face in getting there from a more traditional ITSM background.

First of all, given this blog’s headline, you may well ask if challenges in themselves can be “magnificent.” I would argue that once challenges are viewed as a means for overcoming barriers, the answer is yes.

Here are the seven challenges I’ll be discussing specific to ITSM transformation:

1. Organizational, political, and leadership issues

2. Issues surrounding dialog across IT and between IT and business stakeholders

3. The need for enhanced levels of automation and more effectively defined processes

4. The challenges surrounding the move to cloud

5. The growing requirement to support mobile end users

6. The challenges surrounding fragmented technologies, fragmented data, and toolset complexity

7. The need to integrate a wide variety of cost, governance, and value-related metrics across all of IT

1. Organizational, political, and leadership issues

In almost all my research, whether it’s on digital and IT transformation or more specific ITSM-related initiatives, this challenge stands out as number one. It’s often identified as the single toughest challenge of them all. But the best way to approach it is by establishing a baseline for your organization — not through some linear grading system, but by talking and listening to key stakeholders about these and other issues as they perceive them. Moreover, addressing the other six challenges discussed here can go a long way toward helping you overcome challenge number one.

2. Issues surrounding dialog across IT and between IT and business stakeholders

If there’s indeed a magic bullet for addressing organizational and political issues, it’s promoting a more effective community within the ITSM team, and across IT, through enhanced communication and dialog. Here technology really can come into play, through social IT and chat groups that include ITSM teams, their customers, and IT stakeholders more broadly. Communication can also be improved through better process workflows and automation (see Challenge #3). Finally, good shared data and enhanced dashboards and visualization (see Challenge #6) can go a long way toward building better IT communities overall, with far less finger-pointing and more well-directed consensus building.

3. The need for enhanced levels of automation and more effectively defined processes

Communication is not just about talking, in person or online, although good dialog in all its forms is still key. Good communication is also about effectively sharing information and promoting better means of collaboration. Here well-designed workflows (that ideally don’t require scripting) can be evolved to support and help define a wide variety of process interactions. In parallel, ITSM automation can free up time lost to repetitious, and often isolating, tasks — such as configuration changes, patch updates, catalog-driven service provisioning, and, in some cases, triage and remediation in conjunction with Operations.

4. The challenges surrounding the move to cloud

An entire blog, an entire book, and an entire IT curriculum could be (and have been) written about challenge number four. From an ITSM perspective, cloud is not something you can or should run away from. It can be empowering, just as it can place new demands on you. The chief challenges include the need for superior approaches to security and compliance with more dynamic awareness of everything from software licenses to IT infrastructure to the Ts and Cs of managing cloud service providers. Cloud also requires approaching options for service delivery differently, with enhanced awareness of cost and relevance to business consumers. As we’ve seen in multiple research analyses, ITSM teams that are willing and able to stand in the middle of the challenge of optimizing cloud invariably fare better than those that aren’t.

5. The growing requirement to support mobile end users

My prior blog introduced some of the requirements for endpoint management overall. Mobile shares in these requirements, which include security, optimizing endpoint value across laptops and mobile, understanding and assuring effective service delivery to end users, and enabling more effective visualization capabilities that empower end users, and especially mobile service consumers, to be fully productive in their roles and responsibilities, including in interacting with IT.

6. The challenges surrounding fragmented technologies, fragmented data, and toolset complexity

While each of the three items here, fragmented technologies, fragmented data, and toolset complexity are unique problems in and of themselves, they are also closely interrelated. This challenge is of course not limited to ITSM teams, but one that reaches across all of operations and all of development. While there is no magic bullet here (indeed none of these obstacles can be overcome in a single long weekend), investing in technologies that promote assimilation of multiple data sources and do so with an eye to superior data integrity, visualization, time to value, and relevance can offer you a big step forward.

7. The need to integrate a wide variety of cost, governance, and value-related metrics across all of IT

ITSM 2.0 teams are playing a greater role in governance and planning across all of IT. This requires a willingness to go beyond the usual silos when looking at costs—from IT asset management and software asset management, to operational efficiency and governance metrics, to portfolio planning, to analytics that can support if/then insights, to costs and efficiencies associated with cloud adoption. Doing all this cohesively is easier said than done, especially when there is no defined industry market that reflects this landscape of critically interrelated components. But it is at the heart of ITSM 2.0.

Dennis Drogseth is VP at Enterprise Management Associates (EMA).

Image removed.

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The Magnificent Seven ITSM 2.0 Challenges

Dennis Drogseth

This is my second blog targeting the next generation of IT service management, or ITSM 2.0. The first blog described the characteristics I see as defining ITSM 2.0. Here we’ll look more closely at the key challenges you might face in getting there from a more traditional ITSM background.

First of all, given this blog’s headline, you may well ask if challenges in themselves can be “magnificent.” I would argue that once challenges are viewed as a means for overcoming barriers, the answer is yes.

Here are the seven challenges I’ll be discussing specific to ITSM transformation:

1. Organizational, political, and leadership issues

2. Issues surrounding dialog across IT and between IT and business stakeholders

3. The need for enhanced levels of automation and more effectively defined processes

4. The challenges surrounding the move to cloud

5. The growing requirement to support mobile end users

6. The challenges surrounding fragmented technologies, fragmented data, and toolset complexity

7. The need to integrate a wide variety of cost, governance, and value-related metrics across all of IT

1. Organizational, political, and leadership issues

In almost all my research, whether it’s on digital and IT transformation or more specific ITSM-related initiatives, this challenge stands out as number one. It’s often identified as the single toughest challenge of them all. But the best way to approach it is by establishing a baseline for your organization — not through some linear grading system, but by talking and listening to key stakeholders about these and other issues as they perceive them. Moreover, addressing the other six challenges discussed here can go a long way toward helping you overcome challenge number one.

2. Issues surrounding dialog across IT and between IT and business stakeholders

If there’s indeed a magic bullet for addressing organizational and political issues, it’s promoting a more effective community within the ITSM team, and across IT, through enhanced communication and dialog. Here technology really can come into play, through social IT and chat groups that include ITSM teams, their customers, and IT stakeholders more broadly. Communication can also be improved through better process workflows and automation (see Challenge #3). Finally, good shared data and enhanced dashboards and visualization (see Challenge #6) can go a long way toward building better IT communities overall, with far less finger-pointing and more well-directed consensus building.

3. The need for enhanced levels of automation and more effectively defined processes

Communication is not just about talking, in person or online, although good dialog in all its forms is still key. Good communication is also about effectively sharing information and promoting better means of collaboration. Here well-designed workflows (that ideally don’t require scripting) can be evolved to support and help define a wide variety of process interactions. In parallel, ITSM automation can free up time lost to repetitious, and often isolating, tasks — such as configuration changes, patch updates, catalog-driven service provisioning, and, in some cases, triage and remediation in conjunction with Operations.

4. The challenges surrounding the move to cloud

An entire blog, an entire book, and an entire IT curriculum could be (and have been) written about challenge number four. From an ITSM perspective, cloud is not something you can or should run away from. It can be empowering, just as it can place new demands on you. The chief challenges include the need for superior approaches to security and compliance with more dynamic awareness of everything from software licenses to IT infrastructure to the Ts and Cs of managing cloud service providers. Cloud also requires approaching options for service delivery differently, with enhanced awareness of cost and relevance to business consumers. As we’ve seen in multiple research analyses, ITSM teams that are willing and able to stand in the middle of the challenge of optimizing cloud invariably fare better than those that aren’t.

5. The growing requirement to support mobile end users

My prior blog introduced some of the requirements for endpoint management overall. Mobile shares in these requirements, which include security, optimizing endpoint value across laptops and mobile, understanding and assuring effective service delivery to end users, and enabling more effective visualization capabilities that empower end users, and especially mobile service consumers, to be fully productive in their roles and responsibilities, including in interacting with IT.

6. The challenges surrounding fragmented technologies, fragmented data, and toolset complexity

While each of the three items here, fragmented technologies, fragmented data, and toolset complexity are unique problems in and of themselves, they are also closely interrelated. This challenge is of course not limited to ITSM teams, but one that reaches across all of operations and all of development. While there is no magic bullet here (indeed none of these obstacles can be overcome in a single long weekend), investing in technologies that promote assimilation of multiple data sources and do so with an eye to superior data integrity, visualization, time to value, and relevance can offer you a big step forward.

7. The need to integrate a wide variety of cost, governance, and value-related metrics across all of IT

ITSM 2.0 teams are playing a greater role in governance and planning across all of IT. This requires a willingness to go beyond the usual silos when looking at costs—from IT asset management and software asset management, to operational efficiency and governance metrics, to portfolio planning, to analytics that can support if/then insights, to costs and efficiencies associated with cloud adoption. Doing all this cohesively is easier said than done, especially when there is no defined industry market that reflects this landscape of critically interrelated components. But it is at the heart of ITSM 2.0.

Dennis Drogseth is VP at Enterprise Management Associates (EMA).

Image removed.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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