ManageEngine, a division of Zoho Corporation, has announced a significant upgrade to its flagship IT analytics solution, Analytics Plus. Version 6.0 introduces Spotlight, a contextual recommendations engine powered by AI, designed to identify key inefficiencies in IT operations and suggest corrective strategies.
For instance, Analytics Plus can analyze correlations between the age of IT assets, their frequency of failure, and the meantime to repair. Based on these parameters, it suggests the optimal time frame for asset replacement. This approach ensures that organizations neither dispose of assets prematurely, losing usable value, nor retain them for too long, negatively impacting employee productivity. With the introduction of Spotlight, ManageEngine reinforces its commitment to enhancing IT operations through intelligent, data-driven solutions.
Analytics Plus' built-in AI engine is programmed to study common IT processes and identify solutions to achieve desired results more quickly. Spotlight acts like an assistant, constantly monitoring for bottlenecks or operational inefficiencies and offering tips for corrective action. By bringing in IT context and leveraging AI capabilities, Analytics Plus ensures that organizations can address issues more effectively and efficiently.
"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. He added, "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."
Root Cause Analysis
Quick decision-making is only half the journey; IT managers and CIOs also need a way to backtest their decisions to ensure a new strategy or model will achieve the desired results. In addition to decision intelligence capabilities, ManageEngine is introducing the Root Cause Analysis feature, which automatically identifies the top factors contributing to a particular trend. This feature allows IT managers and CIOs to verify whether their changes or decisions are having a positive impact.
No-Code Auto-ML for Deep Analysis
The new version of Analytics Plus empowers IT teams to create custom machine learning (ML) models without writing a single line of code. Traditionally, developing and deploying ML models was restricted to experts. However, Analytics Plus’ no-code ML platform democratizes this process, allowing IT managers to develop ML models directly on the data they are familiar with.
With this capability, IT managers can build ML models for prediction and classification, such as a predictive model to derive the probability of ticket escalations based on various factors or related events. This approach ensures the development of highly specific and accurate models because they are built on the organization's unique data and validated by the very people who use it daily.
Unified IT Metrics Library
Analytics Plus serves as a command center and decision hub for IT by contextually analyzing all IT data, enabling organizations to cross-correlate metrics and identify interdependencies. Analytics Plus version 6.0 introduces the Unified IT Metrics Library, listing all KPIs from an IT environment in a single view, effectively acting as a comprehensive directory of metrics. This makes searchability and reusability easier, breaking down silos created by various IT tools and serving as a single source of truth for any metric that IT teams need to track.
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