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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.

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Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...