Data Management 2.0: fixing the status quo

Explaining risk calculations and capital exposures should be easy, but the current approach by many financial institutions is incredibly complex. The main challenge comes from poor data quality and a resistance to empower users to build data models within unified data stores that bust silos and allow for real-time, synchronous calculations on huge volumes and velocity of data.

Luckily, there is a growing base of data citizens who are looking at data consumption and explainability through this new paradigm, achieving fast time and cost to value.

Learn why this needless complexity exists and the transformative potential of a unified data approach.

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