Deep.BI is a company currently on the cutting edge of data exploration and analysis with sub-second delays between data ingestion, advanced data enrichment done on the fly and finally displaying this data in intuitive dashboards - even with billions of recorded events processed.
We have developed a real-time tool with a wide variety of applications; anywhere from allowing publishers to score user engagement, and adapt their website functionality to convert these users into subscribers and all the way to fraud detection technology for clients such as Burger King and Subway.
Users are able to view this engagement in relation to another usage/engagement and other custom metrics through dedicated built-in dashboards and out of the box visualizations that enable sharing to different members in the organizations who need the information to solve the specific business problems they are facing.
Our model is based on and extends, the Financial Times’ original approach, RFV (Recency, Frequency, Volume). Our tool allows this RFV solution to be deployed by any publisher through the Deep.BI platform.