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Lack of Visibility into IT Software Can Be Costly

Tim Flower

IT leaders have a tremendous influence on how their organization functions, setting the tone for how their teams respond to digital transformation and approach strategic challenges. Though economists are warning of a multi-year recession, Gartner predicts that IT spending will increase in 2023. As a result, IT decision makers are feeling the pressure to invest wisely when it comes to software applications, while also finding savings to offset some of the rising costs. However, research shows IT leaders don't understand how their employees are using company-issued tools.

The result? Expenses are higher than necessary, there is poor employee technology adoption — and the related risk of either under or over provisioning — and there is a lack of productivity associated with inconsistent configurations.


What Aren't IT Pros Seeing and What Is it Costing Them?

A recent study revealed only an alarming 5% of IT decision makers who report having complete visibility into employee adoption and usage of company-issued applications, demonstrating they are often unknowingly careless when it comes to software investments that can ultimately be costly in terms of time and resources.

On average, employees use between 11 and 50 software applications per day, with IT leaders unclear how many are actively in use, for how long, or how frequently, or how many seats (licenses) are available/used for each application.

Software licenses can easily eat large portions of an IT budget unnecessarily by teams unknowingly subscribing to overlapping or unnecessary applications, in addition to employees retaining licenses from a prior role, or using applications they are not licenced to have, all which multiply spending. The fix, in theory, is simple: Organizations can avoid overspending by creating visibility into application usage, consolidating like-for-like software, and prioritizing applications that already share similar data and don't require hard labor to create integrations. In actuality, IT leaders are in the dark about the specific applications being used and how, meaning efficient consolidation is difficult or impossible.

Think of it this way: if an organizations' subscription licenses add up to $500 in total per device across 20,000 employees, reducing unneeded license counts by a conservative 5% and consolidating like-for-like titles for an additional 5% improvement could provide $1M in cost reductions that could be booked as savings or reallocated to other more strategic initiatives.

The True Cost of Poor Visibility: Employee Productivity

For technology adoption to be successful IT needs the full support of management and the individual department heads where it is being deployed. If organizations had full visibility into how employees are using the technology at their disposal, they might uncover that their teams don't have a full grasp on how to even use the tools properly which costs time and resources to address and resolve resulting issues.

Over 70% of IT pros reported it takes their teams between 6 to 24 hours to fully resolve a single employee issue, whether it's a desktop or web application problem

For example, over 70% of IT pros reported it takes their teams between 6 to 24 hours to fully resolve a single employee issue, whether it's a desktop or web application problem. That time spent is a combination of technical issues coupled with usability and employee education and it keeps employees from doing their work and IT teams from focusing on larger issues.

More often than not, one application error is part of a larger network or device problem that exhibits itself across the application's user base that inhibits productivity long-term over a large number of people. Approaching these problems as widespread technology issues rather than individual incidents that impact one employee at a time, and looking at it from the perspective of the employees (all of them) can help IT team's see a bigger picture and get to the root of issues faster and for more people all at once.

So, What Now?

IT pros are in a difficult position amid a looming recession which calls for efficient IT investment from the C-suite, yet data shows many aren't even clear on what tools they already have in place and what capabilities they are missing. With top level executives paying closer attention to overall digital transformation that is necessary for long-term success, it's crucial that IT leaders know how their organizations use their software and applications, and how that usage can be better managed for improved financial management in the future.

There are several ways to achieve this: implementing employee surveys, technical education for employees on their tools, and monitoring services to better see the full utilization picture. The onus, then, is on IT leaders to understand how to use this information for full organizational efficiency and cost savings.

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Lack of Visibility into IT Software Can Be Costly

Tim Flower

IT leaders have a tremendous influence on how their organization functions, setting the tone for how their teams respond to digital transformation and approach strategic challenges. Though economists are warning of a multi-year recession, Gartner predicts that IT spending will increase in 2023. As a result, IT decision makers are feeling the pressure to invest wisely when it comes to software applications, while also finding savings to offset some of the rising costs. However, research shows IT leaders don't understand how their employees are using company-issued tools.

The result? Expenses are higher than necessary, there is poor employee technology adoption — and the related risk of either under or over provisioning — and there is a lack of productivity associated with inconsistent configurations.


What Aren't IT Pros Seeing and What Is it Costing Them?

A recent study revealed only an alarming 5% of IT decision makers who report having complete visibility into employee adoption and usage of company-issued applications, demonstrating they are often unknowingly careless when it comes to software investments that can ultimately be costly in terms of time and resources.

On average, employees use between 11 and 50 software applications per day, with IT leaders unclear how many are actively in use, for how long, or how frequently, or how many seats (licenses) are available/used for each application.

Software licenses can easily eat large portions of an IT budget unnecessarily by teams unknowingly subscribing to overlapping or unnecessary applications, in addition to employees retaining licenses from a prior role, or using applications they are not licenced to have, all which multiply spending. The fix, in theory, is simple: Organizations can avoid overspending by creating visibility into application usage, consolidating like-for-like software, and prioritizing applications that already share similar data and don't require hard labor to create integrations. In actuality, IT leaders are in the dark about the specific applications being used and how, meaning efficient consolidation is difficult or impossible.

Think of it this way: if an organizations' subscription licenses add up to $500 in total per device across 20,000 employees, reducing unneeded license counts by a conservative 5% and consolidating like-for-like titles for an additional 5% improvement could provide $1M in cost reductions that could be booked as savings or reallocated to other more strategic initiatives.

The True Cost of Poor Visibility: Employee Productivity

For technology adoption to be successful IT needs the full support of management and the individual department heads where it is being deployed. If organizations had full visibility into how employees are using the technology at their disposal, they might uncover that their teams don't have a full grasp on how to even use the tools properly which costs time and resources to address and resolve resulting issues.

Over 70% of IT pros reported it takes their teams between 6 to 24 hours to fully resolve a single employee issue, whether it's a desktop or web application problem

For example, over 70% of IT pros reported it takes their teams between 6 to 24 hours to fully resolve a single employee issue, whether it's a desktop or web application problem. That time spent is a combination of technical issues coupled with usability and employee education and it keeps employees from doing their work and IT teams from focusing on larger issues.

More often than not, one application error is part of a larger network or device problem that exhibits itself across the application's user base that inhibits productivity long-term over a large number of people. Approaching these problems as widespread technology issues rather than individual incidents that impact one employee at a time, and looking at it from the perspective of the employees (all of them) can help IT team's see a bigger picture and get to the root of issues faster and for more people all at once.

So, What Now?

IT pros are in a difficult position amid a looming recession which calls for efficient IT investment from the C-suite, yet data shows many aren't even clear on what tools they already have in place and what capabilities they are missing. With top level executives paying closer attention to overall digital transformation that is necessary for long-term success, it's crucial that IT leaders know how their organizations use their software and applications, and how that usage can be better managed for improved financial management in the future.

There are several ways to achieve this: implementing employee surveys, technical education for employees on their tools, and monitoring services to better see the full utilization picture. The onus, then, is on IT leaders to understand how to use this information for full organizational efficiency and cost savings.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...