Leading Global Investment Bank Transforms Risk-based Forecasting with Instant BI on 500 Billion Transactions

With the objective of minimizing risk exposure, a leading global investment bank intended to assess risk trends across its entire business to see how one asset-class risk affects another. However, they were facing several challenges due to data silos, divided IT staff, dissimilar processes, and varied technologies.

With over a billion risk points a day, and data stored in multiple platforms for different asset classes, they found it challenging to get a daily consolidated view of their risk exposure.

Download the Case Study to read how they are able to deliver risk assessments daily across all asset classes without delay by tapping into the power of Big Data through instant BI.

You will learn how they used Kyvos to build a Big Data Analytics platform that:

  • Provides interactive access on over 500 billion transactions
  • Delivers instant response times to hundreds of business users
  • Provides unlimited scalability with trend analysis on 160 days of data