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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.

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 ...