Top 3 Data Challenges in Financial Risk Management and How to Solve Them

Financial institutions are facing increasing pressure to deliver true real-time risk management solutions across massive amounts of data from increasingly disparate data sources.

All areas of risk analysis – including market risk, credit risk, liquidity risk, collateral risk, and margining – are data- and compute-intensive, making data processing with low latency and massive scale a critical requirement for leaders in the financial risk management space.

In order to provide the most timely insights, risk management teams must fully address 3 complex data challenges:

• How to integrate data from numerous data sources and in different formats into a fast-access data hub
• How to process, query, and analyze ALL of the data (not a subset) that are necessary for true risk analysis
• How to deliver intraday risk analysis as close to real-time as possible

Join this on-demand webinar to learn both architectural and technological strategies to overcome all three of these data challenges. The "before" and "after" solutions and performance gains of 3 Fortune 500 financial institutions that successfully addressed these challenges will also be presented.