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Weak Asset Management Leads to Costly Performance Risk

Rex McMillan

The tech world may be falling in love with artificial intelligence and automation, but when it comes to managing critical assets, old school tools like spreadsheets are still in common use. A new survey by Ivanti illustrates how these legacy tools are forcing IT to waste valuable time analyzing assets due to incomplete data.

Global survey findings from over 1,600 IT professionals also highlighted the need to better integrate service and asset management functions in order to develop and manage assets far more efficiently from provisioning of a new asset through their entire lifecycle. Integration will also help to prevent performance and service glitches occurring due to inadequate asset tracking.

Key findings of the survey are:

■ 43% of IT professionals still track IT assets in spreadsheets

■ 56% do not manage the complete asset lifecycle

■ Nearly 25% reported spending hours per week reconciling inventory and assets

■ 28% reported spending hours supporting out-of-warranty/out-of-support assets

■ 22% replace a device when a user reports an incident or problem


Incomplete Asset Data Wasting IT Time and Budgets

If you own a vehicle, why would you spend valuable time fixing a mechanical issue still covered under warranty? That is one of the questions prompted by the survey which found 50% of IT professionals reported having worked on assets that were actually still under warranty.

Conversely, hours were being spent servicing out-of-warranty assets getting closer to end of support — prolonging use of assets that could no longer contribute to peak performance and could pose security risks.

When asked if they incorporate and monitor purchase data, contracts and/or warranty data as part of their IT asset management program, over 60% of IT professionals said they were missing some key information in their IT asset management program.

Asset and Service Integration is Key to Improvement

The survey reinforces the need for IT Service Management (ITSM) and IT Asset Management (ITAM) to integrate more closely to stop costly inefficiencies caused by incomplete asset data. Particularly in the current environment of increasing security and compliance regulations, using out-of-warranty or out-of-date assets that cannot be patched correctly can expose an organization to costly fines.

Regarding automation, efficient ITSM and ITAM teams are using automated processes to bring asset management into the 21st century and get rid of those spreadsheets! By having one integrated repository of data on an asset and knowing warranty and end-of-service issues for all assets, an organization can avoid costly compliance and/or performance issues.

Survey respondents are hoping to get these benefits from integration:

■ Better visibility of their IT estate: 63%

■ Increased IT staff productivity: 59%

■ Optimized costs: 54%

■ Improved service delivery: 53%


When ITSM and ITAM are closely aligned and integrated, many activities and processes become more automated, efficient, and responsive, with fewer things "falling through the cracks." IT teams gain more insight and are better positioned to move from reactive activities to more proactive practices, delivering higher service levels and efficiency at lower costs.

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Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

Weak Asset Management Leads to Costly Performance Risk

Rex McMillan

The tech world may be falling in love with artificial intelligence and automation, but when it comes to managing critical assets, old school tools like spreadsheets are still in common use. A new survey by Ivanti illustrates how these legacy tools are forcing IT to waste valuable time analyzing assets due to incomplete data.

Global survey findings from over 1,600 IT professionals also highlighted the need to better integrate service and asset management functions in order to develop and manage assets far more efficiently from provisioning of a new asset through their entire lifecycle. Integration will also help to prevent performance and service glitches occurring due to inadequate asset tracking.

Key findings of the survey are:

■ 43% of IT professionals still track IT assets in spreadsheets

■ 56% do not manage the complete asset lifecycle

■ Nearly 25% reported spending hours per week reconciling inventory and assets

■ 28% reported spending hours supporting out-of-warranty/out-of-support assets

■ 22% replace a device when a user reports an incident or problem


Incomplete Asset Data Wasting IT Time and Budgets

If you own a vehicle, why would you spend valuable time fixing a mechanical issue still covered under warranty? That is one of the questions prompted by the survey which found 50% of IT professionals reported having worked on assets that were actually still under warranty.

Conversely, hours were being spent servicing out-of-warranty assets getting closer to end of support — prolonging use of assets that could no longer contribute to peak performance and could pose security risks.

When asked if they incorporate and monitor purchase data, contracts and/or warranty data as part of their IT asset management program, over 60% of IT professionals said they were missing some key information in their IT asset management program.

Asset and Service Integration is Key to Improvement

The survey reinforces the need for IT Service Management (ITSM) and IT Asset Management (ITAM) to integrate more closely to stop costly inefficiencies caused by incomplete asset data. Particularly in the current environment of increasing security and compliance regulations, using out-of-warranty or out-of-date assets that cannot be patched correctly can expose an organization to costly fines.

Regarding automation, efficient ITSM and ITAM teams are using automated processes to bring asset management into the 21st century and get rid of those spreadsheets! By having one integrated repository of data on an asset and knowing warranty and end-of-service issues for all assets, an organization can avoid costly compliance and/or performance issues.

Survey respondents are hoping to get these benefits from integration:

■ Better visibility of their IT estate: 63%

■ Increased IT staff productivity: 59%

■ Optimized costs: 54%

■ Improved service delivery: 53%


When ITSM and ITAM are closely aligned and integrated, many activities and processes become more automated, efficient, and responsive, with fewer things "falling through the cracks." IT teams gain more insight and are better positioned to move from reactive activities to more proactive practices, delivering higher service levels and efficiency at lower costs.

Hot Topics

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...