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ManageEngine Advances ServiceDesk Plus Analytics with Zoho Reports Integration

ManageEngine announced that ServiceDesk Plus, the IT help desk software, is now integrated with Zoho Reports, the online reporting and business intelligence application from Zoho.com. Available immediately as an add-on module, the Zoho Reports integration lets ServiceDesk Plus users easily analyze their IT service desk data as well as create insightful reports and visually rich dashboards for informed decision-making.

"While raw data and graphs are abundant in IT service desk environments, analysis and insightful recommendations are scarce," said Clarence Rozario, Director of Product Management at Zoho. "With the Zoho Reports integration, IT managers using ServiceDesk Plus can keep track of the key metrics that matter and demonstrate the value of their IT service desk operations in tangible terms to the stakeholders involved."

"The addition of Zoho Reports is a big step for ServiceDesk Plus and for the thousands of customers who use it to manage their IT service desks," said Umasankar Narayanasamy, director of engineering at ManageEngine. "Over and above the default and custom reporting options in ServiceDesk Plus, this new integration empowers our customers to squeeze advanced intelligence out of their service desk data for critical decision-making - without the complexity usually associated with advanced BI efforts."
Advanced Service Desk Reporting Made Easy

The new Zoho Reports add-on complements the ready-made and custom reports previously available in ServiceDesk Plus. The new add-on provides an easy, efficient way to derive business intelligence out of IT operations data - no database queries required. Instead, the Zoho Reports add-on lets IT service desk managers and agents quickly create powerful reports and dashboards using a flexible, drag-and-drop interface.

With the Zoho Reports add-on, users can:

- Generate fine-grained reports on the fly, without writing database queries

- Track the most important service desk KPIs with 80+ prepackaged reports

- Shape and design data with a wide range of charts, tabular and summary reports

- Create personalized dashboards for consolidated views of multiple reports

- Share data and reports for collaborative analysis and report creation

- Embed reports and dashboards across websites, intranets, blogs and applications

- Automatically generate reports and automatically email them from ServiceDesk Plus

- Access cloud-based reports any time from a variety of platforms, such as mobile and tablet

The Zoho Reports add-on is available immediately in all editions of ServiceDesk Plus with all plans of Zoho Reports, including the free plan. The Zoho Reports add-on is available with the recently released patch of ServiceDesk Plus hotfix 9028.

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ManageEngine Advances ServiceDesk Plus Analytics with Zoho Reports Integration

ManageEngine announced that ServiceDesk Plus, the IT help desk software, is now integrated with Zoho Reports, the online reporting and business intelligence application from Zoho.com. Available immediately as an add-on module, the Zoho Reports integration lets ServiceDesk Plus users easily analyze their IT service desk data as well as create insightful reports and visually rich dashboards for informed decision-making.

"While raw data and graphs are abundant in IT service desk environments, analysis and insightful recommendations are scarce," said Clarence Rozario, Director of Product Management at Zoho. "With the Zoho Reports integration, IT managers using ServiceDesk Plus can keep track of the key metrics that matter and demonstrate the value of their IT service desk operations in tangible terms to the stakeholders involved."

"The addition of Zoho Reports is a big step for ServiceDesk Plus and for the thousands of customers who use it to manage their IT service desks," said Umasankar Narayanasamy, director of engineering at ManageEngine. "Over and above the default and custom reporting options in ServiceDesk Plus, this new integration empowers our customers to squeeze advanced intelligence out of their service desk data for critical decision-making - without the complexity usually associated with advanced BI efforts."
Advanced Service Desk Reporting Made Easy

The new Zoho Reports add-on complements the ready-made and custom reports previously available in ServiceDesk Plus. The new add-on provides an easy, efficient way to derive business intelligence out of IT operations data - no database queries required. Instead, the Zoho Reports add-on lets IT service desk managers and agents quickly create powerful reports and dashboards using a flexible, drag-and-drop interface.

With the Zoho Reports add-on, users can:

- Generate fine-grained reports on the fly, without writing database queries

- Track the most important service desk KPIs with 80+ prepackaged reports

- Shape and design data with a wide range of charts, tabular and summary reports

- Create personalized dashboards for consolidated views of multiple reports

- Share data and reports for collaborative analysis and report creation

- Embed reports and dashboards across websites, intranets, blogs and applications

- Automatically generate reports and automatically email them from ServiceDesk Plus

- Access cloud-based reports any time from a variety of platforms, such as mobile and tablet

The Zoho Reports add-on is available immediately in all editions of ServiceDesk Plus with all plans of Zoho Reports, including the free plan. The Zoho Reports add-on is available with the recently released patch of ServiceDesk Plus hotfix 9028.

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.