ManageEngine announced that its IT analytics product, Analytics Plus, is now available as a SaaS offering, enabling users to set up a fully functional, integrated analytics platform in under 60 seconds.
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.
Analytics Plus now connects with more than 40 business applications such as Microsoft Dynamics CRM, Stripe, SurveyMonkey, Google Analytics, Xero, QuickBooks, Salesforce CRM, and LinkedIn along with over 30 IT monitoring applications such as SolarWinds, Nagios, Splunk, DataDog, AppDynamics, and OpenNMS to help IT leaders get a holistic view of IT performance. 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.
Analytics Plus' context-aware AI enables users to:
- Establish correlations between data from various applications and data sources.
- Quickly identify opportunities and threats.
- Gain granular insights into aspects of IT operations and business that might not be possible otherwise.
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