We’ve always thought anomaly detection and business incident detection were cool. And now Gartner says so, too. We are so honored to have been named a “Cool Vendor” in Analytics by Gartner, the world’s leading information technology research and advisory company.

Each year, Gartner identifies new Cool Vendors in key technology areas and publishes a series of research reports about them. This year, the Report named Anodot as one of five “innovative vendors that are redefining the types of analysis that it is feasible for organizations to perform. They are doing so by providing high levels of automation or extending analytics’ reach to new classes of user and new types of decision.”

And what is it, exactly, that makes us so “cool”? We believe that it’s our technology that sets us apart. Our automated business incident and anomaly detection platform enables business analysts to uncover issues in vast amounts of streaming data without manually setting thresholds or prioritizing which metrics to track. Intelligent behavioral correlation and grouping automatically identifies the impact of multiple anomalies that, when taken together, can have a meaningful impact. Our SaaS solution is based on patented machine-learning algorithms that isolate issues and correlate them in real time to alert users to a need for action.

So what does that look like in action?

  • Wix needed a real-time alert system that would indicate issues without manual threshold settings in the key metrics. Read more to find out how Anodot proved to be the system required for providing the necessary insights to the company’s analysts.
  • Anodot enables Credit Karma to identify relevant and actionable incidents each day; that is, issues that have a business or technical impact. Check out how three Credit Karma teams are currently relying on Anodot’s business incident detection with the eventual goal to roll out access to all the teams in the company.
  • Uprise found that with so many metrics, with traditional solutions, one must choose what to monitor, but with Anodot, they simply monitor everything, letting Anodot do the work of identifying anomalies. Read more to find out how Uprise now uses Anodot to track KPIs such as revenue, spend, fill-rate, and performance.
  • For a large digital printing company, Anodot automatically analyzes the hardware and software data that the company collects from each press. Find out how Anodot detects potential problems early, allowing the company to provide proactive support.

The Report states:

The question that leading companies are now asking is not “How do I improve this analysis?” but “How do I improve this decision?” This question drives analytics into new realms of possibility — the “white space” where analytics tools have not traditionally been used as part of the decision making process.

And that is, actually, what drives us. We work tirelessly to bring tools which help businesses leverage their data for the decisions that count. We believe that our business incident detection solution prepares our customers for the business decisions they face each day.

I’d like to thank Gartner and their experts who performed an in-depth analysis of Anodot and our unique industry. We are thrilled to be included with other top notch companies working tirelessly to bring effective analytics and next generation BI tools to the market. I’d also like to congratulate the other companies recognized alongside Anodot – Cognitive Technology, OnlyBoth, ThoughtSpot and Veriluma.

Read the full report: Cool Vendors in Analytics, 2016 (requires a Gartner account), authored by Gareth Herschel, Whit Andrews, Rita L. Sallam, Lisa Kart, Marc Kerremans and Cindi Howson, 19 May 2016,

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Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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Written by David Drai

David is CEO and co-founder of Anodot, where he is committed to helping data-driven companies illuminate business blind spots with AI analytics. He previously was CTO at Gett, an app-based transportation service used in hundreds of cities worldwide. Prior to Gett, he co-founded Cotendo, a content delivery network and site acceleration services provider that was acquired by Akamai Technologies, where he also served as CTO. He graduated from Technion - Israel Institute of Technology with a BSc in computer science.

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