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Employees Unsatisfied with Application Performance at Work

To Attract and Retain Generation Y Talent, Enterprise Networks Need to Step Up
Ricardo Belmar

The arrival of Generation Y – aka "millennials" – into the enterprise workforce has invigorated even the stodgiest business sectors with a fresh new attitude and work culture. Dressing business casual, for instance, is no longer a once-a-week perk but a given in many offices – that is, if workers are even expected to perform their duties on-site.

This is because one of the largest defining characteristics of the modern workforce in the digital age is mobility. Whether companies allow employees to work remotely or business is conducted on one of many different enterprise mobile devices, there are very few "desk jockeys" left in the modern office.

Instead, workers prefer to collaborate with each other using business applications that take meetings out of the physical boardroom and into cyberspace. Rather than emailing massive files between team members, projects in the digital workspace are tackled in the cloud, enabling real-time collaboration to take place without populating local hard drive space in massive, on-site enterprise servers.

While this connectivity and mobility is expected by the new generation of the enterprise workforce, not every office has been able to effectively change with the times. The demand for real-time collaboration has introduced new performance requirements for enterprise networks to deliver a great user experience. A recent study conducted by BT and InfoVista, Meeting the Network Demands of Changing Generations, found that 90 percent of today’s workforce is unsatisfied with the application performance on their employer’s network overall.

The Times Are Changing Faster Than IT Can Keep Up

This is a glaring figure, though not a surprising one, as the generational shift into a network-driven, software-defined, digital office model has taken flight faster than many legacy network architectures can keep up. While virtual private networks (VPNs) have been widely utilized by businesses for well over a decade, the proliferation of business applications and software-as-a-service (SaaS) has been fast and furious, and IT teams can hardly keep up.

A big reason for this is the fact that many networks aren’t engaging in IT governance. For instance, 94 percent of organizations polled in the survey agree that maintaining the corporate network is mission critical.

However, due to a lack of visibility, only 51 percent of those polled have insight into which applications being used by employees could have a negative impact on the performance of the corporate network.

Adding to the problem is the fact that only 57 percent of those polled actually had IT governance in place that allowed them to monitor and control application performance on the corporate network.

Considering that over the last two years 69 percent of organizations have implemented unified communication and video conferencing into their business, adopting such applications without enabling IT to scale, optimize or plan for future network topologies will only lead to continued employee dissatisfaction.

52 percent of organizations have already launched cloud-based productivity apps and collaboration tools, according to the survey, and it is expected that of those who haven’t yet, just under half will seek this tech within the next two years. Of course this must be accomplished in a secure manner that protects the network, as 59 percent of those surveyed considered this a top three concern.

Enterprises of all stripes that rely on business apps and network functionality to keep their operations running need to adopt network governance practices that allow them to prioritize business-critical applications like Microsoft Office 365 and Skype for Business over personal applications, while also reliably predicting how applications will affect the network. Maximizing the user experience is now a critical service that IT organizations need to deliver optimally. This requires a proactive approach with the right performance management tools in place to be successful. Otherwise, businesses that fall behind the digital times could very well see their organizations go the way of the cubicle, rolodex and other relics of a bygone era.

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Employees Unsatisfied with Application Performance at Work

To Attract and Retain Generation Y Talent, Enterprise Networks Need to Step Up
Ricardo Belmar

The arrival of Generation Y – aka "millennials" – into the enterprise workforce has invigorated even the stodgiest business sectors with a fresh new attitude and work culture. Dressing business casual, for instance, is no longer a once-a-week perk but a given in many offices – that is, if workers are even expected to perform their duties on-site.

This is because one of the largest defining characteristics of the modern workforce in the digital age is mobility. Whether companies allow employees to work remotely or business is conducted on one of many different enterprise mobile devices, there are very few "desk jockeys" left in the modern office.

Instead, workers prefer to collaborate with each other using business applications that take meetings out of the physical boardroom and into cyberspace. Rather than emailing massive files between team members, projects in the digital workspace are tackled in the cloud, enabling real-time collaboration to take place without populating local hard drive space in massive, on-site enterprise servers.

While this connectivity and mobility is expected by the new generation of the enterprise workforce, not every office has been able to effectively change with the times. The demand for real-time collaboration has introduced new performance requirements for enterprise networks to deliver a great user experience. A recent study conducted by BT and InfoVista, Meeting the Network Demands of Changing Generations, found that 90 percent of today’s workforce is unsatisfied with the application performance on their employer’s network overall.

The Times Are Changing Faster Than IT Can Keep Up

This is a glaring figure, though not a surprising one, as the generational shift into a network-driven, software-defined, digital office model has taken flight faster than many legacy network architectures can keep up. While virtual private networks (VPNs) have been widely utilized by businesses for well over a decade, the proliferation of business applications and software-as-a-service (SaaS) has been fast and furious, and IT teams can hardly keep up.

A big reason for this is the fact that many networks aren’t engaging in IT governance. For instance, 94 percent of organizations polled in the survey agree that maintaining the corporate network is mission critical.

However, due to a lack of visibility, only 51 percent of those polled have insight into which applications being used by employees could have a negative impact on the performance of the corporate network.

Adding to the problem is the fact that only 57 percent of those polled actually had IT governance in place that allowed them to monitor and control application performance on the corporate network.

Considering that over the last two years 69 percent of organizations have implemented unified communication and video conferencing into their business, adopting such applications without enabling IT to scale, optimize or plan for future network topologies will only lead to continued employee dissatisfaction.

52 percent of organizations have already launched cloud-based productivity apps and collaboration tools, according to the survey, and it is expected that of those who haven’t yet, just under half will seek this tech within the next two years. Of course this must be accomplished in a secure manner that protects the network, as 59 percent of those surveyed considered this a top three concern.

Enterprises of all stripes that rely on business apps and network functionality to keep their operations running need to adopt network governance practices that allow them to prioritize business-critical applications like Microsoft Office 365 and Skype for Business over personal applications, while also reliably predicting how applications will affect the network. Maximizing the user experience is now a critical service that IT organizations need to deliver optimally. This requires a proactive approach with the right performance management tools in place to be successful. Otherwise, businesses that fall behind the digital times could very well see their organizations go the way of the cubicle, rolodex and other relics of a bygone era.

Hot Topics

The Latest

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

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 ...