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Tips to Consider When Calculating the ROI of Network Performance Monitoring Tools

Jay Botelho

In today's digital age, enterprises rely heavily on their networks to facilitate communication, collaboration, and operations. However, network performance issues can significantly impact productivity, customer satisfaction, and revenue generation. As a result, many organizations invest in network performance monitoring (NPM) tools to proactively manage network performance and ensure smooth operations. But according to EMA's Network Management Megatrends 2022 report, the percentage of NetOps teams that can successfully monitor their network performance is in steep decline, dropping from 49% in 2016 to just 27% in 2022.

Clearly these teams need to do a better job evaluating the ROI of the tools they're using. To help do that, let's explore the challenges NetOps teams face today, and dive into the quantifiable benefits they should be considering when calculating ROI of NPM tools.

NETOPS CHALLENGES

First, a few of the challenges organizations and their teams face:

Lack of a centralized platform for efficiently managing and monitoring all devices

Many organizations string together network performance monitoring products or end up logging into individual devices looking for data and trying to pinpoint issues. Without a centralized platform to monitor, analyze, and facilitate the remediation of network issues, teams will always struggle to save time, streamline operations, and meet the changing demands of the business.

Inability to monitor and analyze network telemetry efficiently

Legacy and alternative solutions can have issues in retrieving various telemetry and correlating different telemetry types. Without a single NPM (or tightly integrated set of tools) teams often face performance and telemetry storage issues that can impact their ability to efficiently analyze traffic over time to identify trends. This can also make report generation laborious and hinder performance close rates.

The challenge of scale

Networks continue to increase in size and scope. This is driven by a variety of new technologies across cloud, on-prem, and hybrid environments. Teams often struggle to scale while still maintaining visibility. They require tools that eliminate the network insight gap and deliver the best data and insights needed to act quickly and remediate issues.

These are just some of the challenges organizations face. Note that each organization will likely have their own unique network performance hurdles to consider.

BENEFITS OF NPM

Next, let's look at the quantifiable and unquantifiable benefits teams can achieve by adopting a comprehensive NPM solution. These benefits may directly or indirectly address the challenges described above. Nevertheless, consider all of these when evaluating the ROI of an NPM solution.

First the quantifiable benefits:

Reduced equipment (i.e., circuits) and bandwidth costs

By having a NPM solution that can properly identify network issues related to bandwidth usage and patterns, organizations can reduce or avoid the purchase of expensive equipment that doesn't address underlying issues. For example, enterprises can improve network performance by properly identifying chokepoints and redirecting network traffic instead of purchasing new equipment and additional bandwidth.

Increased business productivity from reduced network outages

Network downtime can be greatly reduced by improving troubleshooting productivity. This is enabled by the visibility and analytics that come with NPM solutions. Knowing how a product can reduce downtime can then be qualified into business value.

Streamlined report generation as a result of eliminating manual processes

Time spent by network engineers manually gathering data for report creation and generation can be greatly reduced and, in many cases, eliminated. The ideal NPM solution provides a wealth of standardized reports out-of-the-box. This makes it easy to create customized reports which can be scheduled and sent out automatically, reducing otherwise repetitive manual tasks.

Reduction in mean time to resolution

The reduction in time to resolve complex network issues with increased visibility and analysis results in an increase in the productivity of the network support team. Time to resolve network issues can often be cut in half with the right NPM solution.

Now the unquantified benefits:

Monitor different devices with a single solution

The ability to manage many devices from multiple device manufacturers at dispersed sites — on-premises, remote, SD-WAN, cloud, hybrid — in one place can be a challenge for organizations. Advanced NPM solutions deliver this centralized functionality.

Enhanced visualization

Preferable NPM solutions offer the ability to easily visualize network data, for example showing hop-by-hop network traffic for better situational awareness (and also enable segmentation of issues).

Ability to generate telemetry from parts of the network that have limited or no device telemetry

For example, in certain campus deployments, the switch can limit NetFlow capabilities, but a successful NPM solution can add packet analytics and generate enriched NetFlow to increase visibility. Using enriched NetFlow can deliver network and application performance data where none was previously available.

Ease of use

The product's ease of use is hard to quantify but key for product adoption, daily use by network engineers, and for reducing the amount of training required. Other ease-of-use capabilities can be integrated, for example, IT service management (ITSM) solutions or SD-WAN systems that automatically gather performance information.

These are just some of the challenges and benefits to consider when evaluating the ROI of an NPM solution. The key is identifying the challenges that exist and then quantifying the benefits that help address those challenges. Many vendors also have ROI studies associated with their products, so don't be afraid to ask.

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Tips to Consider When Calculating the ROI of Network Performance Monitoring Tools

Jay Botelho

In today's digital age, enterprises rely heavily on their networks to facilitate communication, collaboration, and operations. However, network performance issues can significantly impact productivity, customer satisfaction, and revenue generation. As a result, many organizations invest in network performance monitoring (NPM) tools to proactively manage network performance and ensure smooth operations. But according to EMA's Network Management Megatrends 2022 report, the percentage of NetOps teams that can successfully monitor their network performance is in steep decline, dropping from 49% in 2016 to just 27% in 2022.

Clearly these teams need to do a better job evaluating the ROI of the tools they're using. To help do that, let's explore the challenges NetOps teams face today, and dive into the quantifiable benefits they should be considering when calculating ROI of NPM tools.

NETOPS CHALLENGES

First, a few of the challenges organizations and their teams face:

Lack of a centralized platform for efficiently managing and monitoring all devices

Many organizations string together network performance monitoring products or end up logging into individual devices looking for data and trying to pinpoint issues. Without a centralized platform to monitor, analyze, and facilitate the remediation of network issues, teams will always struggle to save time, streamline operations, and meet the changing demands of the business.

Inability to monitor and analyze network telemetry efficiently

Legacy and alternative solutions can have issues in retrieving various telemetry and correlating different telemetry types. Without a single NPM (or tightly integrated set of tools) teams often face performance and telemetry storage issues that can impact their ability to efficiently analyze traffic over time to identify trends. This can also make report generation laborious and hinder performance close rates.

The challenge of scale

Networks continue to increase in size and scope. This is driven by a variety of new technologies across cloud, on-prem, and hybrid environments. Teams often struggle to scale while still maintaining visibility. They require tools that eliminate the network insight gap and deliver the best data and insights needed to act quickly and remediate issues.

These are just some of the challenges organizations face. Note that each organization will likely have their own unique network performance hurdles to consider.

BENEFITS OF NPM

Next, let's look at the quantifiable and unquantifiable benefits teams can achieve by adopting a comprehensive NPM solution. These benefits may directly or indirectly address the challenges described above. Nevertheless, consider all of these when evaluating the ROI of an NPM solution.

First the quantifiable benefits:

Reduced equipment (i.e., circuits) and bandwidth costs

By having a NPM solution that can properly identify network issues related to bandwidth usage and patterns, organizations can reduce or avoid the purchase of expensive equipment that doesn't address underlying issues. For example, enterprises can improve network performance by properly identifying chokepoints and redirecting network traffic instead of purchasing new equipment and additional bandwidth.

Increased business productivity from reduced network outages

Network downtime can be greatly reduced by improving troubleshooting productivity. This is enabled by the visibility and analytics that come with NPM solutions. Knowing how a product can reduce downtime can then be qualified into business value.

Streamlined report generation as a result of eliminating manual processes

Time spent by network engineers manually gathering data for report creation and generation can be greatly reduced and, in many cases, eliminated. The ideal NPM solution provides a wealth of standardized reports out-of-the-box. This makes it easy to create customized reports which can be scheduled and sent out automatically, reducing otherwise repetitive manual tasks.

Reduction in mean time to resolution

The reduction in time to resolve complex network issues with increased visibility and analysis results in an increase in the productivity of the network support team. Time to resolve network issues can often be cut in half with the right NPM solution.

Now the unquantified benefits:

Monitor different devices with a single solution

The ability to manage many devices from multiple device manufacturers at dispersed sites — on-premises, remote, SD-WAN, cloud, hybrid — in one place can be a challenge for organizations. Advanced NPM solutions deliver this centralized functionality.

Enhanced visualization

Preferable NPM solutions offer the ability to easily visualize network data, for example showing hop-by-hop network traffic for better situational awareness (and also enable segmentation of issues).

Ability to generate telemetry from parts of the network that have limited or no device telemetry

For example, in certain campus deployments, the switch can limit NetFlow capabilities, but a successful NPM solution can add packet analytics and generate enriched NetFlow to increase visibility. Using enriched NetFlow can deliver network and application performance data where none was previously available.

Ease of use

The product's ease of use is hard to quantify but key for product adoption, daily use by network engineers, and for reducing the amount of training required. Other ease-of-use capabilities can be integrated, for example, IT service management (ITSM) solutions or SD-WAN systems that automatically gather performance information.

These are just some of the challenges and benefits to consider when evaluating the ROI of an NPM solution. The key is identifying the challenges that exist and then quantifying the benefits that help address those challenges. Many vendors also have ROI studies associated with their products, so don't be afraid to ask.

Hot Topics

The Latest

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...