ManageEngine Releases The SaaS Version Of Analytics Plus

ManageEngine-Releases-The-SaaS-Version-Of-Analytics-Plus

Support for these new apps will enable IT, leaders to measure the ROI of IT along with how IT has contributed to achieving business objectives.

ManageEngine’s IT analytics product, Analytics Plus, is now available as a SaaS offering, enabling users to set up an integrated analytics platform in under 60 seconds.

Analytics Plus’s new cloud offering completes the IT application stack by creating a foundation for integrations, allowing organisations to connect to many data sources and attain faster time to market, increase productivity, curb expenditure and garner more revenue.

“At ManageEngine, we’ve witnessed several digital transformation trends over the last two decades across all industry verticals: rapid cloud adoption, a need for setting up a data-centric culture, and the need for advanced AI to sift through data lakes and establish correlations, triage events, and eliminate the need for human intervention in data analysis,” said Rakesh Jayaprakash, product manager at ManageEngine. “That’s why we’ve launched the cloud version of Analytics Plus—a marriage of our 20+ years of domain expertise with cloud benefits like flexibility, agility and scalability to help augment strategic decision-making with fast, reliable and contextual insights.”

Analytics Plus can be deployed in on-premises servers (Windows or Linux-based), Docker or on cloud platforms such as AWS, Azure and Google Cloud.

Analytics Plus now connects with more than 40 business applications such as Microsoft Dynamics CRM and Stripe, along with over 30 IT monitoring applications such as Solarwinds, Nagios, Splunk, DataDog, and AppDynamics. Support for these new apps will enable IT, leaders to measure the ROI of IT along with how IT has contributed to achieving business objectives.

ManageEngine has also enhanced its built-in AI assistant with domain-level intelligence to bridge the gap between data and decision-makers. “Contextual AI can deliver the most crucial insights at a large scale that will resonate with IT leaders. For example, context-aware AI can suggest how to deploy workloads in the most cost-effective and high-performing cloud locations, taking into account performance, cost structure and security requirements,” said Jayaprakash.