With over a billion risk points a day and data stored in multiple platforms for different asset classes, the challenge was to get a daily consolidated view of their risk exposure, and also provide a way for analysts to interactively drill down to transaction-level details to identify issues.
Watch this video where Vice President, Risk and PNL, of a leading global bank describes the Big Data architecture they implemented using Kyvos, Tableau and Cloudera and achieved instant risk analytics.