ManageEngine, the enterprise IT management division of Zoho Corporation, today announced that its IT analytics product, Analytics Plus, is now available as a SaaS offering, enabling users set up a fully functional, integrated analytics platform in under 60 seconds. This launch completes the company’s vision to deploy analytics anywhere, that is, to make it easy for the organization to deploy analytics on private or public clouds such as AWS and Azure. ManageEngine will showcase the new offering at its user conference scheduled on August 4-5 this year at the InterContinental Melbourne in Australia.
IT operations nowadays are structured in a way that warrants the use of several monitoring tools and technologies to ensure the business remains operational and accessible to its customers 24/7/365. These disjointed IT tools, while impeccable in providing visibility into their area of operations, fall short in providing complete visibility into IT as a whole, costing IT leaders time and effort in gathering insights.
Analytics Plus’ new cloud offering completes the IT application stack by creating a foundation for integrations, allowing organizations to connect to a multitude of 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 insights that are fast, reliable and contextual.”
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.
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