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European Study: Operational Intelligence is Key to Managing IT Complexity

Pete Goldin
APMdigest

European organizations with the strongest operational intelligence capability are most likely to conquer the complexity of the fastest growing IT concerns, according to a new report titled Masters of Machines II, from analyst firm Quocirca, in collaboration with Splunk.

These concerns include security threats (up 25 per cent since 2013), data chaos (up 22 per cent) and poor customer experience (up 21 per cent), all of which contribute to an increasingly complex landscape for IT managers.

The reports says that progressive organizations "are turning to operational intelligence to unlock the value buried in the many gigabytes or terabytes of machine data generated by their systems each day. Those organizations that make supporting investments are better able to cope with the inevitable increases in IT complexity and more intensive security measures that are needed to deliver improved services and the desired cross-channel experience for customers."

“A post-financial crisis easing of budgetary constraints means IT departments are refocusing on delivering value to the business, including delivering better customer experience as interaction becomes reliant on multiple channels,” said Bob Tarzey, analyst, Quocirca. “Supporting this cross-channel experience results in growing IT complexity and greater volumes of machine data, which, if unmanaged, increases data chaos. However, if this data is collected and analyzed it can provide better insight through improved operational intelligence, enabling those with the capability to reap the benefits: better security awareness, higher system uptime and improved customer service levels.”

The report identifies three areas in which operational intelligence can help conquer complexity:

■ IT infrastructure complexity: The increasing use of cloud services adds to IT infrastructure complexity as systems are becoming more hybridized and organizations struggle to get equal insight into both on-premise and cloud-based infrastructure. As organizations move to more heterogeneous and complex IT platforms, they are turning to operational intelligence to provide the necessary management insight.

■ The cross-channel customer experience: With 68 per cent of organizations having a ‘high’ or ‘medium’ reliance on the cross channel experience, businesses have to deal with increased volumes of data from these channels including mobile apps, social media and sensor-based devices. Organizations that are reliant on the cross-channel experience are more likely to rely on operational intelligence to provide hard-to-gain insight into user behavior.

■ Security: The biggest and fastest growing IT management concern in both 2013 and 2015 was security threats through compromise of IT systems. While operational intelligence helps conquer complexity, it also leads to greater concerns about IT security as those with insight into the threats they face are less complacent than those who lack such insight.

The survey looked at how well prepared organizations are to cope with IT emergencies, such as system downtime, which was the number two overall IT management concern. The survey found that about 30% of organizations have no real coping strategy for downtime.

The report says: "Coping strategies make a difference; the concern about system downtime is considerably reduced when they are in-place. Using third parties makes the biggest difference; organizations that provide such services will have experienced personnel that spend each and every day dealing with emergencies. Furthermore, this will leave in-house staff freer to focus on other areas of concern such as IT innovation and improving the customer experience."

"Understanding what issues might occur, what issues have occurred, and working out how best to respond to them whilst minimizing the impact on the business, requires insight and that is provided by effective operational intelligence."

Quocirca surveyed 380 companies in the UK, France, Germany, Sweden and the Netherlands.

Pete Goldin is Editor and Publisher of APMdigest

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European Study: Operational Intelligence is Key to Managing IT Complexity

Pete Goldin
APMdigest

European organizations with the strongest operational intelligence capability are most likely to conquer the complexity of the fastest growing IT concerns, according to a new report titled Masters of Machines II, from analyst firm Quocirca, in collaboration with Splunk.

These concerns include security threats (up 25 per cent since 2013), data chaos (up 22 per cent) and poor customer experience (up 21 per cent), all of which contribute to an increasingly complex landscape for IT managers.

The reports says that progressive organizations "are turning to operational intelligence to unlock the value buried in the many gigabytes or terabytes of machine data generated by their systems each day. Those organizations that make supporting investments are better able to cope with the inevitable increases in IT complexity and more intensive security measures that are needed to deliver improved services and the desired cross-channel experience for customers."

“A post-financial crisis easing of budgetary constraints means IT departments are refocusing on delivering value to the business, including delivering better customer experience as interaction becomes reliant on multiple channels,” said Bob Tarzey, analyst, Quocirca. “Supporting this cross-channel experience results in growing IT complexity and greater volumes of machine data, which, if unmanaged, increases data chaos. However, if this data is collected and analyzed it can provide better insight through improved operational intelligence, enabling those with the capability to reap the benefits: better security awareness, higher system uptime and improved customer service levels.”

The report identifies three areas in which operational intelligence can help conquer complexity:

■ IT infrastructure complexity: The increasing use of cloud services adds to IT infrastructure complexity as systems are becoming more hybridized and organizations struggle to get equal insight into both on-premise and cloud-based infrastructure. As organizations move to more heterogeneous and complex IT platforms, they are turning to operational intelligence to provide the necessary management insight.

■ The cross-channel customer experience: With 68 per cent of organizations having a ‘high’ or ‘medium’ reliance on the cross channel experience, businesses have to deal with increased volumes of data from these channels including mobile apps, social media and sensor-based devices. Organizations that are reliant on the cross-channel experience are more likely to rely on operational intelligence to provide hard-to-gain insight into user behavior.

■ Security: The biggest and fastest growing IT management concern in both 2013 and 2015 was security threats through compromise of IT systems. While operational intelligence helps conquer complexity, it also leads to greater concerns about IT security as those with insight into the threats they face are less complacent than those who lack such insight.

The survey looked at how well prepared organizations are to cope with IT emergencies, such as system downtime, which was the number two overall IT management concern. The survey found that about 30% of organizations have no real coping strategy for downtime.

The report says: "Coping strategies make a difference; the concern about system downtime is considerably reduced when they are in-place. Using third parties makes the biggest difference; organizations that provide such services will have experienced personnel that spend each and every day dealing with emergencies. Furthermore, this will leave in-house staff freer to focus on other areas of concern such as IT innovation and improving the customer experience."

"Understanding what issues might occur, what issues have occurred, and working out how best to respond to them whilst minimizing the impact on the business, requires insight and that is provided by effective operational intelligence."

Quocirca surveyed 380 companies in the UK, France, Germany, Sweden and the Netherlands.

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...