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ManageEngine Launches Analytics Plus

ManageEngine announced its entry into the self-service IT analytics market with the launch of Analytics Plus.

Designed for mid- to large-size organizations that want to draw insights from their IT data, Analytics Plus integrates easily with various data sources and tools, analyzes vast data volumes and presents findings with rich visualizations.

"Most companies want the IT analytics payoff, but few want to pay the steep IT analytics price," said Sridhar Iyengar, VP, ManageEngine. "We're uniquely positioned to drive the widespread adoption of this powerful technology. We know IT management and how to make it both powerful and simple. We know IT admins, managers, CIOs and CEOs and what they expect in analytics-driven insights. And we know business intelligence and analytics thanks to the 10 years our sister division, Zoho.com, has spent refining those technologies, which we're leveraging in Analytics Plus."

Analytics Plus meets the growing requirement to put IT analytics within every organization's reach and provide the insights and visibility needed to make better decisions, faster. Harnessing ManageEngine's deep experience across the IT management spectrum, Analytics Plus brings together and correlates islands of data to instantly provide insights in the form of rich visualization and interactive dashboards.

Highlights include:

- Fast to set up and easy to use: In minutes, Analytics Plus can be installed and configured, and visualizations can be created. Unlike other analytics tools, Analytics Plus is simple to use and offers an intuitive drag-and-drop visual studio to create dashboards easily.

- data blending, analytics and statistics: Analytics Plus lets users do cross-data analytics and offers a "look up" model to merge different data sets using common fields. It provides pre-built analytical functions and an excel-like formula engine with an extensive library of mathematical and statistical functions.

- Rich visual presentation and analysis: Users can create reports and dashboards that include charts, widgets, KPI metrics, pivot tables, and tabular view components. The dashboards let users visually slice and dice data, drill down into details, and change the appearance using different chart types and pre-defined templates.

- One tool to unify insights from various data sources: The Analytics Plus architecture lets users analyze data from a variety of data sources such as spreadsheets, files and feeds, relational and non-relational databases, applications and Web API, providing a unified view of their entire IT.

- Sharing and collaborative working: With Analytics Plus, users can securely share reports and dashboards with others to reach consensus and make group decisions quickly. Dashboards can be embedded in websites, intranets and other Web apps for wider access with fine-grained control.

- Work seamlessly across Web and mobile devices: Analytics Plus is also available as a mobile app for Android and iOS tablets, so users can access and interact with the reports and dashboards already created, on the move.

- Lower Total cost of Ownership (TCO): Analytics Plus saves organizations up to 50 percent in total costs compared to leading IT analytics tools offering similar functionality.

"We recently researched this space in our report, ‘Advanced IT Analytics: A Look at Real Adoptions in the Real World,'" said Dennis Drogseth, vice president, Enterprise Management Associates. "We found that ITSM and service desk were the second most-likely factors driving adoption of advanced IT analytics strategies. That's only three percent down from the first driving factor, which was the IT executive suite. Additionally, 82 percent of the respondents indicated strong ITSM integrations."

Iyengar said, "Our own ITSM customer surveys concur with EMA's findings. We believe Analytics Plus for ITSM marks a turning point in analytics — for ITSM and for IT as a whole."

Analytics Plus is currently in beta.

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ManageEngine Launches Analytics Plus

ManageEngine announced its entry into the self-service IT analytics market with the launch of Analytics Plus.

Designed for mid- to large-size organizations that want to draw insights from their IT data, Analytics Plus integrates easily with various data sources and tools, analyzes vast data volumes and presents findings with rich visualizations.

"Most companies want the IT analytics payoff, but few want to pay the steep IT analytics price," said Sridhar Iyengar, VP, ManageEngine. "We're uniquely positioned to drive the widespread adoption of this powerful technology. We know IT management and how to make it both powerful and simple. We know IT admins, managers, CIOs and CEOs and what they expect in analytics-driven insights. And we know business intelligence and analytics thanks to the 10 years our sister division, Zoho.com, has spent refining those technologies, which we're leveraging in Analytics Plus."

Analytics Plus meets the growing requirement to put IT analytics within every organization's reach and provide the insights and visibility needed to make better decisions, faster. Harnessing ManageEngine's deep experience across the IT management spectrum, Analytics Plus brings together and correlates islands of data to instantly provide insights in the form of rich visualization and interactive dashboards.

Highlights include:

- Fast to set up and easy to use: In minutes, Analytics Plus can be installed and configured, and visualizations can be created. Unlike other analytics tools, Analytics Plus is simple to use and offers an intuitive drag-and-drop visual studio to create dashboards easily.

- data blending, analytics and statistics: Analytics Plus lets users do cross-data analytics and offers a "look up" model to merge different data sets using common fields. It provides pre-built analytical functions and an excel-like formula engine with an extensive library of mathematical and statistical functions.

- Rich visual presentation and analysis: Users can create reports and dashboards that include charts, widgets, KPI metrics, pivot tables, and tabular view components. The dashboards let users visually slice and dice data, drill down into details, and change the appearance using different chart types and pre-defined templates.

- One tool to unify insights from various data sources: The Analytics Plus architecture lets users analyze data from a variety of data sources such as spreadsheets, files and feeds, relational and non-relational databases, applications and Web API, providing a unified view of their entire IT.

- Sharing and collaborative working: With Analytics Plus, users can securely share reports and dashboards with others to reach consensus and make group decisions quickly. Dashboards can be embedded in websites, intranets and other Web apps for wider access with fine-grained control.

- Work seamlessly across Web and mobile devices: Analytics Plus is also available as a mobile app for Android and iOS tablets, so users can access and interact with the reports and dashboards already created, on the move.

- Lower Total cost of Ownership (TCO): Analytics Plus saves organizations up to 50 percent in total costs compared to leading IT analytics tools offering similar functionality.

"We recently researched this space in our report, ‘Advanced IT Analytics: A Look at Real Adoptions in the Real World,'" said Dennis Drogseth, vice president, Enterprise Management Associates. "We found that ITSM and service desk were the second most-likely factors driving adoption of advanced IT analytics strategies. That's only three percent down from the first driving factor, which was the IT executive suite. Additionally, 82 percent of the respondents indicated strong ITSM integrations."

Iyengar said, "Our own ITSM customer surveys concur with EMA's findings. We believe Analytics Plus for ITSM marks a turning point in analytics — for ITSM and for IT as a whole."

Analytics Plus is currently in beta.

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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 ...

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.