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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.

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Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

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