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Turning Tactical IT Into Strategic IT

Keith Bromley

As businesses look to drive more and more value out of the organization, is there a way that IT can help? While the answer could be yes, the problem is time.

Around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems

A study conducted by Enterprise Management Associates showed that around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems. This leaves precious little time for value-add activities.

While tactical IT activities are necessary, they place a considerable drain on IT resources. What if you could reduce the amount of problem resolution time by just 10%? This would be more time that could be applied to deliver projects that increase customer retention, expand market share, and/or increase revenue. Again, while there is definitely value for tactical IT activities, the value is smaller than the value of strategic IT activities.

The question then becomes, how can you reduce the time you spend on application and network activities so that you can redeploy that time for strategic business tasks?

The answer is to improve your visibility into the network. Organizations need access to data. At the same time, that data is overloading them. According to IBM research, over 90% of all of the data in the world has been created in the last two years. Network visibility allows you to capture and process key pieces of network and application data to: generate business insights for better network and application performance, perform macroscopic troubleshooting tactics, create better security device efficiencies, and implement better compliance practices.

A lack of network visibility (geolocation of users and problems, device type and browser type information, real-time access to network and application performance as it transits across the network, etc.) is behind a lot of IT inefficiency. This results in a longer amount of time to put out troubleshooting fires than was necessary. Flow data, packet data, and performance data can all be combined to quickly create a detailed analysis. With this extra information, you can be more strategic and plan more effectively.

85% of MTTR is the time taken to identify that there is, in fact, an issue

Increased network visibility is also critical when dealing with one of the top IT metrics, mean time to repair (MTTR). Approximately 85% of MTTR is the time taken to identify that there is, in fact, an issue, says Zeus Kerravala, principal analyst at ZK Research.

Even worse, Kerravala says, the MTTR clock starts ticking whether IT knows that there is an issue or not. Reducing this metric not only helps to give you back valuable time, it should help you improve one of your key performance indicators (KPI).

Network visibility can assist in all of these areas. The foundation of network visibility is the visibility architecture. This architecture consists of three element types: taps, network packet brokers, and monitoring tools. Taps are simply passive devices that make a complete copy of the data traversing the network on that particular network segment. The copied data is then sent to a packet broker which allows you to aggregate all of your data, deduplicate it, strip off unnecessary headers or payloads, and then replicate one or more pieces of that data and send it to different monitoring tools. Once the visibility architecture is in place, reductions of MTTR by up to 80% are possible.

Some of the biggest enterprise changes today are cloud computing, shadow IT, and mobile/bring-your-own-device (BYOD). The thread that links these shifts is data handling. Each one, in different ways, enables users to create data from new sources. Network visibility should be a critical component of this shift to reduce your time and money spent on tactical IT activities.

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Turning Tactical IT Into Strategic IT

Keith Bromley

As businesses look to drive more and more value out of the organization, is there a way that IT can help? While the answer could be yes, the problem is time.

Around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems

A study conducted by Enterprise Management Associates showed that around 41% of enterprise IT departments spend over 50% of their time responding to network and application performance problems. This leaves precious little time for value-add activities.

While tactical IT activities are necessary, they place a considerable drain on IT resources. What if you could reduce the amount of problem resolution time by just 10%? This would be more time that could be applied to deliver projects that increase customer retention, expand market share, and/or increase revenue. Again, while there is definitely value for tactical IT activities, the value is smaller than the value of strategic IT activities.

The question then becomes, how can you reduce the time you spend on application and network activities so that you can redeploy that time for strategic business tasks?

The answer is to improve your visibility into the network. Organizations need access to data. At the same time, that data is overloading them. According to IBM research, over 90% of all of the data in the world has been created in the last two years. Network visibility allows you to capture and process key pieces of network and application data to: generate business insights for better network and application performance, perform macroscopic troubleshooting tactics, create better security device efficiencies, and implement better compliance practices.

A lack of network visibility (geolocation of users and problems, device type and browser type information, real-time access to network and application performance as it transits across the network, etc.) is behind a lot of IT inefficiency. This results in a longer amount of time to put out troubleshooting fires than was necessary. Flow data, packet data, and performance data can all be combined to quickly create a detailed analysis. With this extra information, you can be more strategic and plan more effectively.

85% of MTTR is the time taken to identify that there is, in fact, an issue

Increased network visibility is also critical when dealing with one of the top IT metrics, mean time to repair (MTTR). Approximately 85% of MTTR is the time taken to identify that there is, in fact, an issue, says Zeus Kerravala, principal analyst at ZK Research.

Even worse, Kerravala says, the MTTR clock starts ticking whether IT knows that there is an issue or not. Reducing this metric not only helps to give you back valuable time, it should help you improve one of your key performance indicators (KPI).

Network visibility can assist in all of these areas. The foundation of network visibility is the visibility architecture. This architecture consists of three element types: taps, network packet brokers, and monitoring tools. Taps are simply passive devices that make a complete copy of the data traversing the network on that particular network segment. The copied data is then sent to a packet broker which allows you to aggregate all of your data, deduplicate it, strip off unnecessary headers or payloads, and then replicate one or more pieces of that data and send it to different monitoring tools. Once the visibility architecture is in place, reductions of MTTR by up to 80% are possible.

Some of the biggest enterprise changes today are cloud computing, shadow IT, and mobile/bring-your-own-device (BYOD). The thread that links these shifts is data handling. Each one, in different ways, enables users to create data from new sources. Network visibility should be a critical component of this shift to reduce your time and money spent on tactical IT activities.

Hot Topics

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...