Data Management for Risk Management

Risk analysis is not new. Our industry is built around techniques to achieve maximum return with minimal (or optimal) risk. And the risk discipline requires copious amounts of timely, high quality, relevant data.

Institutions now recognize the importance of good data management practices in order to improve their risk practices, and more than ever before they are prepared to do something about it. Risk analysis is a common driver of many active GoldenSource client projects focusing on data management, data quality, and data governance. But if risk analysis is such an established practice, then why are so many institutions just now focusing on data as it relates to risk? What changed?

GoldenSource are proud sponsors of FIMA 2014.

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