Skip to main content

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.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...