Kinetica + Expero for Real-time Fraud Detection
Expero provides custom software development that leverages the Kinetica real-time analytic database to provide a game-changing financial crime detection and prevention platform.
This demo illustrates some financial crime field work examples. See how complex data and analytics work together to reduce a company’s financial crimes false positive detection by 60%, increase identification by 70%, and improve investigator’s productivity by 80% – which enables fraud teams to avoid regulatory sanctions and fines.
Kinetica: The Database for Fraud & Anomaly Detection
Detecting and preventing fraud relies on being able to quickly analyze large quantities of time-series and location related data. Kinetica makes it quicker and easier to collate, fuse, and visualize that data for improved anomaly detection, behavioral analysis, and real-time alerting.
Kinetica's lockless architecture, distributed ingestion, and vectorized query enable you to work with numerous sources of spatial and streaming data. Kinetica allows for simultaneous ingest and query, and avoids the need for constant re-indexing and re-aggregations as new data changes the picture.
Kinetica combines time-series, spatial, and graph capabilities into a unified database available through a SQL & Postgres compatible interface. Over 130 geospatial functions, geo-joins, graph solving and matching makes detecting patterns on fast moving financial data easier and faster.
Lower TCO, Faster to Deploy
Kinetica's vectorized capabilities enable analysts and engineers to analyze and deploy systems quicker than ever. Vectorized algorithms allow for simpler data structures, which means less time engineering the data, more flexibility for exploring the data, and lower compute costs.
Book a Demo!
The best way to appreciate the possibilities that Kinetica brings to high-performance real-time analytics is to see it in action.
Contact us, and we'll give you a tour of Kinetica. We can also help you get started using it with your own data, your own schemas and your own queries.