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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

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...