ManageEngine Launches Analytics Plus 6.0 with AI-Powered Recommendations

ManageEngine, a division of Zoho Corporation, announced a major upgrade to its IT analytics platform, Analytics Plus, and has introduced version 6.0 which includes a standout feature - an intelligent assistant named “Spotlight.” 

This AI-powered recommendation engine addresses inefficiencies in IT operations and provides real-time, contextual insights to IT managers and CIOs. For users, the offering helps to reduce the time it takes to identify and address operational issues. This has been a challenge. Almost 50% of surveyed IT directors claimed to suffer from the issue according to the 2023 State of Analytics Engineering report.

With Spotlight, they get an intelligent assistant that continuously analyzes IT data and can offer corrective suggestions for inefficiencies.

"Organizations no longer want to spend hours mining data for actionable insights. They require ready-made strategies that they can implement immediately to see rapid results," said Rakesh Jayaprakash, product manager and chief analytics evangelist at ManageEngine. "There are sufficient tools in the market that promise automation and remediation for day-to-day network and application failures, but there's a lack of focus on strategic decision-making. This is the gap Spotlight aims to bridge."

The AI engine in Analytics Plus also studies IT processes to identify bottlenecks and suggest solutions. 

Additional new features of Analytics Plus 6.0 include Root Cause Analysis, which helps IT managers verify decision effectiveness by identifying factors contributing to specific outcomes, such as measuring the impact of auto-remediation tools on network uptime. Also, a No-Code Auto-ML feature allows IT teams to build and deploy machine learning models without coding expertise, enabling tailored, accurate predictions based on their own data. And a new Unified IT Metrics Library centralizes all IT metrics, offering a single source for KPIs and breaking down silos between different tools.

“Traditional IT data analysis is often confined within individual tools. For instance, the resolution time of incidents is limited to IT service management, while the mean time to repair a device is restricted to IT operations management. This inhibits cross-correlation and prevents organizations from obtaining a complete picture of their IT infrastructure. By analyzing all these metrics together in a centralized platform, organizations can unlock significant value," said Jayaprakash.