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Knoa ROI Calculator Released

Knoa Software announced the availability of two ROI tools to help prospects and customers with quantifying the business impact of user experience initiatives.

The new Knoa ROI Calculator and the financial impact analytics included in the Knoa Analytics application enable organizations to quantify the ROI of their own user experience initiatives, in the context of their digital transformation projects.

“Organizations that leverage Knoa’s UEM software can be confident that their usage of their enterprise applications (SAP, Oracle, etc.) is truly optimized,” said Brian Berns, CEO, Knoa Software. “Knoa UEM drives improvements across all business execution areas, resulting in increased user adoption, high productivity, seamless process execution and, ultimately, improved business results.”

The Knoa ROI Calculator enables businesses to estimate the cost savings they would derive from using Knoa UEM in their own environment to drive increased efficiency of their workforce and business operations. According to a recent IDC survey of Knoa customers, enterprises using Knoa UEM report an average three-year ROI of 671% and increased gross user productivity of 15%, as well as efficiency gains of 30% for business processes teams, 31% for incident response, 16% for help desk teams and 21% for security.

The financial impact analytics included in the Knoa Analytics application empower Knoa customers to quantify the impact of digital transformation projects such as cloud migrations by measuring the impact of technology or process changes on user adoption, experience, and productivity. The financial impact reports can also be used to project the potential impact of such initiatives in the early planning stages, and to justify further technology investments.

“Solutions that focus on employee usage analytics in cloud applications should not only allow teams to plan and prioritize the migration process and measure success (or failure) in terms of employee productivity and adoption indications, but they should also offer a clear way to measure the cumulative ROI of the migration, and more importantly, to allow organizations to significantly optimize it. Knoa Software provides a good example of this approach. The company first proved its solution on the SAP ERP suite on large deployments where common before-and-after studies prove either difficult, time consuming or both. It works by capturing metadata about the user experience, a category of software often referred to as UEM or User Experience Management.” (Beagle Research Group, Iterative ROI: A Just In Time Tool for Executives Calculating the Value of Cloud Migration)

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Knoa ROI Calculator Released

Knoa Software announced the availability of two ROI tools to help prospects and customers with quantifying the business impact of user experience initiatives.

The new Knoa ROI Calculator and the financial impact analytics included in the Knoa Analytics application enable organizations to quantify the ROI of their own user experience initiatives, in the context of their digital transformation projects.

“Organizations that leverage Knoa’s UEM software can be confident that their usage of their enterprise applications (SAP, Oracle, etc.) is truly optimized,” said Brian Berns, CEO, Knoa Software. “Knoa UEM drives improvements across all business execution areas, resulting in increased user adoption, high productivity, seamless process execution and, ultimately, improved business results.”

The Knoa ROI Calculator enables businesses to estimate the cost savings they would derive from using Knoa UEM in their own environment to drive increased efficiency of their workforce and business operations. According to a recent IDC survey of Knoa customers, enterprises using Knoa UEM report an average three-year ROI of 671% and increased gross user productivity of 15%, as well as efficiency gains of 30% for business processes teams, 31% for incident response, 16% for help desk teams and 21% for security.

The financial impact analytics included in the Knoa Analytics application empower Knoa customers to quantify the impact of digital transformation projects such as cloud migrations by measuring the impact of technology or process changes on user adoption, experience, and productivity. The financial impact reports can also be used to project the potential impact of such initiatives in the early planning stages, and to justify further technology investments.

“Solutions that focus on employee usage analytics in cloud applications should not only allow teams to plan and prioritize the migration process and measure success (or failure) in terms of employee productivity and adoption indications, but they should also offer a clear way to measure the cumulative ROI of the migration, and more importantly, to allow organizations to significantly optimize it. Knoa Software provides a good example of this approach. The company first proved its solution on the SAP ERP suite on large deployments where common before-and-after studies prove either difficult, time consuming or both. It works by capturing metadata about the user experience, a category of software often referred to as UEM or User Experience Management.” (Beagle Research Group, Iterative ROI: A Just In Time Tool for Executives Calculating the Value of Cloud Migration)

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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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...