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Anodot Accelerates Time to Value With True Self-Service Autonomous Analytics in Real-TimeSUNNYVALE, California, November 29, 2018 /PRNewswire/ -- Anodot, the autonomous analytics company, today announced the enhancement of its AI/ML solution with the addition of dozens of inbound data collectors which enable its ecosystem of customers to benefit from true self-service detection of business incidents in real-time. Detection of incidents in data and root cause analysis can provide critical business information, but the insight is only valuable if reported early enough that it's actionable. Anodot's patented algorithms and machine learning ensure higher true positives and lower false positives with accurate insights regarding seasonality while in real-time, alerting customers instantly and accurately. Anodot's dozens of inbound data collectors mean analysts can add new data streams and new analytics use cases, and be up and running in the same day. The company's ecosystem of integration partners is quickly growing 1000 percent year over year, with integration partners including PagerDuty, Slack, mPartical, Google BigQuery, Amazon Redshift, Amazon Kinesis, MySQL, AWS S3, Google cloud storage, Adobe Analytics and many others. This growth is attributed to Anodot's expanding customer base including Via, Overstock, and Openx which depend on its autonomous analytics solution to monitor business data at a highly granuar level in real-time for faster detection and resolution of business issues, ensuring businesses avoid problems that can affect company reputation and ROI. "Anodot's tools are simple to integrate, and provide our analyst teams alerts instantly for any discrepancies or spikes in data," said Rich Galan, the Director of Analytics for Rubicon Project, "The technology is also easy to use and we never have trouble learning and using Anodot's autonomous analytics platform." "PagerDuty welcomes Anodot into its Integration Partner Program. The combination of PagerDuty's real-time operations management platform and Anodot's real-time anomaly detection, autonomous analytics platform can help customers achieve faster time to detection and resolution of business incidents," said Steve Gross, the Strategic Business Development & Alliances Executive for PagerDuty. Unlike tools which require the user to manually upload or fire data to an API endpoint, Anodot has automated the process, enabling true self-service. Anodot's data integrations are secure, fully controlled and completely transparent to the end user, providing visibility and better control over data and budget. "Time to value was defined as a key pillar for Anodot in 2018, as part of our ongoing commitment to continually improve both use of product and benefits to customers," said Amit Levi, Anodot's VP, Head of Product. "Over the past few months we invested heavily in developing state-of-the-art collectors to reduce friction to value and, as a result, I'm proud to announce that the average integration is now 30 times faster than it was just a few months ago." About Anodot For more information, please contact: SOURCE Anodot 
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