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The True Cost of IT Inefficiency

Song Pang
NetBrain Technologies

A recent study found that 75% of CIOs struggle to strike the right balance between business innovation and operational excellence. Finding this equilibrium can be challenging, as focusing on operational efficiency may come at the expense of innovation and growth. For all their excitement about digital transformation, AI, or cloud computing, enterprises spend a majority of their time simply keeping the lights on.

Since IT costs can consume a significant share of revenue — between 2 and 19 percent, depending on the industry — enterprises should (but often don't) pay close attention to the efficiency of IT operations at scale. Improving operational cost structures even fractionally can yield major savings for larger organizations, often in the tens of millions of dollars. Conversely, there are long-term financial consequences to not optimizing operational processes. One way to avoid these issues is through no-code network automation.

But first, it's important to understand the context of how enterprises have fallen into a pattern of ignoring the importance of operational efficiency. For decades, IT decision makers have mistakenly assumed that the capabilities gained by new technologies have been matched by advancements in the operation of those technologies. Unfortunately, this isn't the case. Not only do organizations rely on the same highly inefficient, labor-intensive operations and maintenance (O&M) plans and practices, they're growing in scale and consume an ever-larger share of IT budgets.

And that's where the problem lies; with the increasing complexity of hybrid networks and accelerating pace of technology refresh cycles, the number of service tickets is skyrocketing. But those outdated O&M plans dictate that every month thousands of tickets must be manually assessed by a help desk or level one engineer. The result is an average mean time to repair of up to two days. Moreover, in more than two thirds of cases, problems no longer exist by the time service tickets are escalated to skilled network engineers. Problems that do persist, no matter how familiar they are to the engineers working on them or how often they've been addressed in the past, tend to be resolved with brute force using basic tools.

This network operations efficiency problem also carries significant risks and costs for the entire business. These include:

  • An increased number of service disruptions, network outages and service degradations
  • Incidents that last longer, affect more users and take longer to resolve
  • Higher security risks, more "hidden" vulnerabilities and audit and compliance failures
  • Lower available computing capacity, degraded application response times
  • Higher Infrastructure carrying costs (including warranty) for devices no longer present
  • Declining customer satisfaction, retention and valuation
  • Negative reputational impacts
  • Limited available resources across geographies, higher staffing and training costs, mismatched skill sets, and increased escalations

It's fiscally and managerially indefensible for a modern enterprise to operate with these kinds of costs and risks hanging like a Sword of Damocles over their heads.

From a strategic point of view, IT leaders need to change the way they think about IT operations and service delivery. Rather than looking purely at IT products in isolation, they need to consider the fully burdened costs of owning and operating their digital infrastructure, with the primary metric being the total cost of service delivery per unit of work.

Of course, this can be a difficult transition to make as it requires IT leaders to first accept that their existing plans don't work. However, organizations that recognize the fundamental underlying problem and make improving IT operational efficiency a strategic priority do have a powerful tool at their disposal: no code network automation.

Simply put, no-code network automation empowers IT network and support teams to do more — much more — with less. It enables every existing network resource to become an automation expert by capturing and abstracting subject matter expertise, automating repetitive manual tasks (like network configuration, outage prevention, assessment and daily operations and diagnostic troubleshooting) and performing them efficiently at scale across every hybrid cloud-connected network infrastructure. Problems only need to be "solved" once and then can be corrected automatically when they reoccur.

The bottom-line impact of this kind of modern O&M approach is significant. Even small improvements can translate to significant cost savings at enterprise scale. A multi-billion-dollar enterprise, greater network operations efficiency could reduce costs by tens of millions of dollars per year.

Despite these compelling numbers, for most organizations the potential of network automation is still largely untapped. But as networks continue to grow in scale and complexity, IT leaders must pay closer attention to the structural and process inefficiencies that are eating their IT budgets. Continuing along the same path is simply untenable at a time when they are being asked by the C-suite to do more with less. Investing in network automation will not only provide financial rewards, but tangible benefits in terms of greater network reliability, improved performance and stronger security.

Song Pang is SVP of Engineering at NetBrain Technologies

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The True Cost of IT Inefficiency

Song Pang
NetBrain Technologies

A recent study found that 75% of CIOs struggle to strike the right balance between business innovation and operational excellence. Finding this equilibrium can be challenging, as focusing on operational efficiency may come at the expense of innovation and growth. For all their excitement about digital transformation, AI, or cloud computing, enterprises spend a majority of their time simply keeping the lights on.

Since IT costs can consume a significant share of revenue — between 2 and 19 percent, depending on the industry — enterprises should (but often don't) pay close attention to the efficiency of IT operations at scale. Improving operational cost structures even fractionally can yield major savings for larger organizations, often in the tens of millions of dollars. Conversely, there are long-term financial consequences to not optimizing operational processes. One way to avoid these issues is through no-code network automation.

But first, it's important to understand the context of how enterprises have fallen into a pattern of ignoring the importance of operational efficiency. For decades, IT decision makers have mistakenly assumed that the capabilities gained by new technologies have been matched by advancements in the operation of those technologies. Unfortunately, this isn't the case. Not only do organizations rely on the same highly inefficient, labor-intensive operations and maintenance (O&M) plans and practices, they're growing in scale and consume an ever-larger share of IT budgets.

And that's where the problem lies; with the increasing complexity of hybrid networks and accelerating pace of technology refresh cycles, the number of service tickets is skyrocketing. But those outdated O&M plans dictate that every month thousands of tickets must be manually assessed by a help desk or level one engineer. The result is an average mean time to repair of up to two days. Moreover, in more than two thirds of cases, problems no longer exist by the time service tickets are escalated to skilled network engineers. Problems that do persist, no matter how familiar they are to the engineers working on them or how often they've been addressed in the past, tend to be resolved with brute force using basic tools.

This network operations efficiency problem also carries significant risks and costs for the entire business. These include:

  • An increased number of service disruptions, network outages and service degradations
  • Incidents that last longer, affect more users and take longer to resolve
  • Higher security risks, more "hidden" vulnerabilities and audit and compliance failures
  • Lower available computing capacity, degraded application response times
  • Higher Infrastructure carrying costs (including warranty) for devices no longer present
  • Declining customer satisfaction, retention and valuation
  • Negative reputational impacts
  • Limited available resources across geographies, higher staffing and training costs, mismatched skill sets, and increased escalations

It's fiscally and managerially indefensible for a modern enterprise to operate with these kinds of costs and risks hanging like a Sword of Damocles over their heads.

From a strategic point of view, IT leaders need to change the way they think about IT operations and service delivery. Rather than looking purely at IT products in isolation, they need to consider the fully burdened costs of owning and operating their digital infrastructure, with the primary metric being the total cost of service delivery per unit of work.

Of course, this can be a difficult transition to make as it requires IT leaders to first accept that their existing plans don't work. However, organizations that recognize the fundamental underlying problem and make improving IT operational efficiency a strategic priority do have a powerful tool at their disposal: no code network automation.

Simply put, no-code network automation empowers IT network and support teams to do more — much more — with less. It enables every existing network resource to become an automation expert by capturing and abstracting subject matter expertise, automating repetitive manual tasks (like network configuration, outage prevention, assessment and daily operations and diagnostic troubleshooting) and performing them efficiently at scale across every hybrid cloud-connected network infrastructure. Problems only need to be "solved" once and then can be corrected automatically when they reoccur.

The bottom-line impact of this kind of modern O&M approach is significant. Even small improvements can translate to significant cost savings at enterprise scale. A multi-billion-dollar enterprise, greater network operations efficiency could reduce costs by tens of millions of dollars per year.

Despite these compelling numbers, for most organizations the potential of network automation is still largely untapped. But as networks continue to grow in scale and complexity, IT leaders must pay closer attention to the structural and process inefficiencies that are eating their IT budgets. Continuing along the same path is simply untenable at a time when they are being asked by the C-suite to do more with less. Investing in network automation will not only provide financial rewards, but tangible benefits in terms of greater network reliability, improved performance and stronger security.

Song Pang is SVP of Engineering at NetBrain Technologies

Hot Topics

The Latest

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

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 ...