It is a great honor to be recognized as a Cool Vendor in Analytics by Gartner. Anodot is one of five companies identified in this year’s report as “innovative vendors redefining the types of analysis that are feasible for organizations to perform” by providing high levels of automation or extending analytics’ reach to new classes of user and new types of decisions.
Anodot Brings our Analytics A-game
Gartner has released its new 2016 Cool Vendor in Analytics report and we are proud to be recognized alongside some other phenomenal companies. We feel such prestigious recognition from Gartner is proof that our business incident detection system is not just meeting, but exceeding, the needs of our customers.
So what’s so cool about Anodot? We believe we have been named a Cool Vendor because we identify outliers in large volumes of streaming data using an automated anomaly detection platform that doesn’t require pre-definition of the key metrics or thresholds to monitor.
How Do We Do It?
Our automated business incident detection platform enables business and IT people to uncover outliers in vast amounts of streaming data without manually setting thresholds or prioritizing which metrics to track. It is based on patented machine learning algorithms that isolate issues and correlate them across multiple parameters in real time to alert users to the need for prescriptive action.
“Today, companies like Wix, Credit Karma and dozens of others are using Anodot to pinpoint performance issues and business opportunities, gaining the real time insights they need to save revenue, keep their business running smoothly, and keep their customers happy,” said David Drai, CEO and co-founder of Anodot.
- Read more about the Anodot solution here
- Read the press release
- Read the blog post
- Read the full report “Cool Vendors in Analytics, 2016,” authored by Gareth Herschel, Whit Andrews, Rita L. Sallam, Lisa Kart, Marc Kerremans and Cindi Howson, 19 May 2016 (requires Gartner subscription).
- Try Anodot Free for 30 days
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Gartner, Cool Vendors in Analytics, 2016, 19 May 2016