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ITSM Futures: A Closer Look at Mobile and Unified Endpoint Management

Dennis Drogseth

In my last blog, I discussed how IT service management (ITSM) roles (and rules) are becoming more operations-aware. The blog examined a number of key game-changers for ITSM, including a growing requirement for shared analytics; the rise (not the demise) of the CMDB/CMS and service modeling; cloud as both a catalyst for innovation and a resource to be managed; and support for enterprise services such as facilities and HR. I also discussed two topics, mobility and unified endpoint management, that I’d like to examine in more depth here.

Mobility is King

OK — you probably didn’t need me to tell you that mobility is critical, but let me place its growing criticality in a more specific ITSM context with a few numbers.

■ 62% of our 270 respondents viewed lifecycle mobile support as “significantly” or “completely” impacting ITSM directions.

■ Mobility is anything but one-dimensional. In fact when we got the data for how actual mobile endpoints are being used by end users and ITSM professionals, the charts looked almost identical.

- 48% of end users and 45% of IT professional usage includes tablets, iPhones, Androids, and other mobile devices.

- 26% of both end users and IT professionals are using a mix of iPhone, Android, or other similar mobile endpoints (but no tablets).

- Only 15% (of end users) and 17% (of IT professionals) say they are not yet focused on any mobile devices.

■ 63% are using mobile endpoints in support of ITSM professionals with the following top-ranked results:

- Improved responsiveness to IT service consumers

- Increased IT efficiencies and reduced OpEx costs

- Improved collaboration between the service desk and operations

■ About two-thirds of our respondents allow end users to access corporate applications via mobile endpoints. And 50% of respondents offer their end users mobile access for ITSM-related requests and other interactions. Of these last, 78% saw “meaningful” or “dramatic” improvements in service delivery.

How Unified is Unified Endpoint Management?

Mobile is, of course, part of a bigger picture when it comes to endpoints. And here, our respondents generally favored integration and unified approaches. For instance, concerning mobile management, 58% preferred an integrated application that could support device management, configuration management, and enterprise mobility. Looking at endpoints more broadly, 82% viewed a unified console for managing mobile and traditional endpoints as “important” or “essential.”

When it came to unified endpoint management, the top seven functional priorities were:

■ Understanding software usage

■ License management

■ Software distribution

■ Operating system deployment

■ Patch management

■ Inventory management

■ Security

And the Winners Were …

So, how did the "extremely successful" map more specifically to questions of endpoint management and mobile empowerment? In my last blog, I mentioned that the extremely successful were twice as likely to leverage mobile for ITSM professionals, four times more likely to offer service consumers mobile support, and twice as likely to offer users access to corporate applications through mobile.

Here are a few additional data points regarding extremely successful priorities as opposed to those who were only somewhat successful, or unsuccessful:

Those who were extremely successful were:

■ Nearly eighteen times more likely to view lifecycle support for mobile users as “completely impacting” service desk operations

■ Three times more likely to have an overarching strategy for managing endpoints

■ Three times more likely to view managing and remediating endpoint issues at the service desk as critical

■ Four times more likely to prefer a single unified console for endpoints

So as you can see, the data here strongly suggests that a more progressive focus on both mobile and endpoint management helps to put ITSM teams in the winner’s circle.

Image removed.

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ITSM Futures: A Closer Look at Mobile and Unified Endpoint Management

Dennis Drogseth

In my last blog, I discussed how IT service management (ITSM) roles (and rules) are becoming more operations-aware. The blog examined a number of key game-changers for ITSM, including a growing requirement for shared analytics; the rise (not the demise) of the CMDB/CMS and service modeling; cloud as both a catalyst for innovation and a resource to be managed; and support for enterprise services such as facilities and HR. I also discussed two topics, mobility and unified endpoint management, that I’d like to examine in more depth here.

Mobility is King

OK — you probably didn’t need me to tell you that mobility is critical, but let me place its growing criticality in a more specific ITSM context with a few numbers.

■ 62% of our 270 respondents viewed lifecycle mobile support as “significantly” or “completely” impacting ITSM directions.

■ Mobility is anything but one-dimensional. In fact when we got the data for how actual mobile endpoints are being used by end users and ITSM professionals, the charts looked almost identical.

- 48% of end users and 45% of IT professional usage includes tablets, iPhones, Androids, and other mobile devices.

- 26% of both end users and IT professionals are using a mix of iPhone, Android, or other similar mobile endpoints (but no tablets).

- Only 15% (of end users) and 17% (of IT professionals) say they are not yet focused on any mobile devices.

■ 63% are using mobile endpoints in support of ITSM professionals with the following top-ranked results:

- Improved responsiveness to IT service consumers

- Increased IT efficiencies and reduced OpEx costs

- Improved collaboration between the service desk and operations

■ About two-thirds of our respondents allow end users to access corporate applications via mobile endpoints. And 50% of respondents offer their end users mobile access for ITSM-related requests and other interactions. Of these last, 78% saw “meaningful” or “dramatic” improvements in service delivery.

How Unified is Unified Endpoint Management?

Mobile is, of course, part of a bigger picture when it comes to endpoints. And here, our respondents generally favored integration and unified approaches. For instance, concerning mobile management, 58% preferred an integrated application that could support device management, configuration management, and enterprise mobility. Looking at endpoints more broadly, 82% viewed a unified console for managing mobile and traditional endpoints as “important” or “essential.”

When it came to unified endpoint management, the top seven functional priorities were:

■ Understanding software usage

■ License management

■ Software distribution

■ Operating system deployment

■ Patch management

■ Inventory management

■ Security

And the Winners Were …

So, how did the "extremely successful" map more specifically to questions of endpoint management and mobile empowerment? In my last blog, I mentioned that the extremely successful were twice as likely to leverage mobile for ITSM professionals, four times more likely to offer service consumers mobile support, and twice as likely to offer users access to corporate applications through mobile.

Here are a few additional data points regarding extremely successful priorities as opposed to those who were only somewhat successful, or unsuccessful:

Those who were extremely successful were:

■ Nearly eighteen times more likely to view lifecycle support for mobile users as “completely impacting” service desk operations

■ Three times more likely to have an overarching strategy for managing endpoints

■ Three times more likely to view managing and remediating endpoint issues at the service desk as critical

■ Four times more likely to prefer a single unified console for endpoints

So as you can see, the data here strongly suggests that a more progressive focus on both mobile and endpoint management helps to put ITSM teams in the winner’s circle.

Image removed.

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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 ...