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ManageEngine Releases Latest Version of Analytics Plus

ManageEngine announced that the latest version of its self-service IT analytics software, Analytics Plus, integrates with its IT operations and monitoring and customer support solutions.

Now, Analytics Plus goes beyond ITSM analytics to help enterprises derive meaningful insights from the data generated by ManageEngine’s network monitoring, applications monitoring and customer support software. The new version of Analytics Plus is generally available now.

"IT teams often look at data from various tools individually, so they miss out on the holistic picture as well as the patterns and anomalies they need to strategically address problems and plan for the future," said Sridhar Iyengar, VP, Product Management, at ManageEngine. "Analytics Plus depicts unified IT dashboards by extracting and analyzing data from different tool sets embedded in an organization's IT and by providing cross-data analytics, all with an easy drag-and-drop user interface."

Analytics Plus provides a single-pane view of an organization's IT by integrating data from multiple sources and presenting useful insights in the form of rich visualizations and interactive dashboards. It enables organizations to derive the necessary insights to make better decisions, faster. Users can create and share dashboards, view critical metrics and reports, and drill down to specifics for faster troubleshooting and root-cause analysis.

Managers can access real-time information about several business operations running an enterprise. Admins can quickly detect and troubleshoot potential problems in the IT infrastructure before end users are affected.

Previously, Analytics Plus offered self-service analytics for ITSM via its integration with ServiceDesk Plus, ManageEngine's ITIL-ready help desk software. The ITSM solution is drawing praise from customers.

The latest version of Analytics Plus also integrates with the company's IT operations and monitoring suite, OpManager and Applications Manager, as well as its customer support software, SupportCenter Plus.

Highlights of the new version of Analytics Plus include:

- Analysis of IT Operations Data: Analytics Plus can analyze inventory, availability and performance data from all IT infrastructure components such as networks, servers, applications and databases. It can also examine alarms and event trends to determine patterns in alarm conditions, volumes and frequency of incoming alarms, frequently failed devices, applications or commonly occurring sources of problems.

- Deep-dive analysis of physical and virtual infrastructures. Analytics Plus analyzes the performance and availability of applications, servers and systems in physical and virtual environments. Users can identify trends, usage and behavior in their virtual infrastructure to understand how their infrastructure works, allowing them to resolve issues faster. Supported virtual infrastructures include VMware, Microsoft and Citrix.

- Insights into cloud environments such as Amazon AWS and Microsoft Azure. Analytics Plus can optimize availability and performance data of cloud infrastructure and applications, such as Amazon AWS and Microsoft Azure environments, by providing insights into capacity planning.

- Holistic view of business services. As more enterprises adopt a business-centric view of IT, they define clusters of key business processes that can be monitored by IT operations and monitoring tools like Applications Manager or OpManager. Analytics Plus presents dashboards of these key business services so IT teams can easily monitor and view them holistically.

- Analysis of IT Support Data for Improved Operations: Analytics Plus analyzes customer tickets; forecasts trends based on information related to the number of completed and backlog requests, SLA compliance, ticket volume and trends; and much more, enabling managers to improve customer satisfaction, support efficiencies, and performance levels.

The Latest

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 ...

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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.

ManageEngine Releases Latest Version of Analytics Plus

ManageEngine announced that the latest version of its self-service IT analytics software, Analytics Plus, integrates with its IT operations and monitoring and customer support solutions.

Now, Analytics Plus goes beyond ITSM analytics to help enterprises derive meaningful insights from the data generated by ManageEngine’s network monitoring, applications monitoring and customer support software. The new version of Analytics Plus is generally available now.

"IT teams often look at data from various tools individually, so they miss out on the holistic picture as well as the patterns and anomalies they need to strategically address problems and plan for the future," said Sridhar Iyengar, VP, Product Management, at ManageEngine. "Analytics Plus depicts unified IT dashboards by extracting and analyzing data from different tool sets embedded in an organization's IT and by providing cross-data analytics, all with an easy drag-and-drop user interface."

Analytics Plus provides a single-pane view of an organization's IT by integrating data from multiple sources and presenting useful insights in the form of rich visualizations and interactive dashboards. It enables organizations to derive the necessary insights to make better decisions, faster. Users can create and share dashboards, view critical metrics and reports, and drill down to specifics for faster troubleshooting and root-cause analysis.

Managers can access real-time information about several business operations running an enterprise. Admins can quickly detect and troubleshoot potential problems in the IT infrastructure before end users are affected.

Previously, Analytics Plus offered self-service analytics for ITSM via its integration with ServiceDesk Plus, ManageEngine's ITIL-ready help desk software. The ITSM solution is drawing praise from customers.

The latest version of Analytics Plus also integrates with the company's IT operations and monitoring suite, OpManager and Applications Manager, as well as its customer support software, SupportCenter Plus.

Highlights of the new version of Analytics Plus include:

- Analysis of IT Operations Data: Analytics Plus can analyze inventory, availability and performance data from all IT infrastructure components such as networks, servers, applications and databases. It can also examine alarms and event trends to determine patterns in alarm conditions, volumes and frequency of incoming alarms, frequently failed devices, applications or commonly occurring sources of problems.

- Deep-dive analysis of physical and virtual infrastructures. Analytics Plus analyzes the performance and availability of applications, servers and systems in physical and virtual environments. Users can identify trends, usage and behavior in their virtual infrastructure to understand how their infrastructure works, allowing them to resolve issues faster. Supported virtual infrastructures include VMware, Microsoft and Citrix.

- Insights into cloud environments such as Amazon AWS and Microsoft Azure. Analytics Plus can optimize availability and performance data of cloud infrastructure and applications, such as Amazon AWS and Microsoft Azure environments, by providing insights into capacity planning.

- Holistic view of business services. As more enterprises adopt a business-centric view of IT, they define clusters of key business processes that can be monitored by IT operations and monitoring tools like Applications Manager or OpManager. Analytics Plus presents dashboards of these key business services so IT teams can easily monitor and view them holistically.

- Analysis of IT Support Data for Improved Operations: Analytics Plus analyzes customer tickets; forecasts trends based on information related to the number of completed and backlog requests, SLA compliance, ticket volume and trends; and much more, enabling managers to improve customer satisfaction, support efficiencies, and performance levels.

The Latest

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.