
Nexthink announced a partnership with Yorizon, a provider of fully integrated survey and reporting solutions, headquartered in the Netherlands.
Yorizon is an independent company with more than 20 years of experience, specializing in IT satisfaction surveys, reporting and benchmarking. The company caters for organizations of all sizes, including small to medium sized enterprises that are striving to measure and appraise the performance of their IT services. Yorizon’s customers span a wide range of industry sectors and include both for profit and non-profit organizations.
With Happiness in IT as its central paradigm, Yorizon’s approach is aimed at highlighting the accomplishments of IT services while simultaneously helping companies improve the overall IT satisfaction of employees. It does this through tools that measure the perception and expectation of end-users, calculating an Overall IT Happiness Score and benchmark. Surveys can be customized or predefined on best practice topics that measure user satisfaction.
Nexthink provides real-time analytics on the entire IT estate and endpoints from the end-user perspective. All important end-user related events such as changes in the IT infrastructure, application usage, bandwidth, error messages and potential security risks are recorded and visualized from the end-user perspective. Nexthink’s feedback module meanwhile, enables the collection of real-time feedback about users’ perceived experiences with business applications and services, providing detailed insight into IT performance.
“We were looking for a proven end-user experience management tool built for the enterprise that would complement our services,” said Cees-Pieter den Hartog, Co-Founder and Managing Director of Yorizon. “Nexthink links perception-based IT end-user satisfaction measurements with fact-based IT performance insights. This provides a powerful combination of IT Happiness end-user feedback programs hand-in-hand with real time end-user analytics. Nexthink has champion-in-its-niche software that will help our customers monitor IT performance to further increase end-user IT Happiness.”
Bob Moore, VP Northern Europe at Nexthink said: “In a digital workplace end-user IT satisfaction contributes enormously to employee productivity, and in turn to the success of the business. Today’s partnership combines Yorizon’s expertise in IT Happiness with Nexthink’s real-time analytics. The combined insight enables IT managers to make effective service quality improvements as well as instruct future investments in IT. For Nexthink the partnership with Yorizon is a natural fit and we look forward to spreading more IT happiness through the effective tool of end-user feedback.”
The Latest
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 ...
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 ...