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.
By submitting this form, you agree to Opensee's Privacy Policy. You also agree to receive content, events, and marketing emails from Opensee. You may unsubscribe at any time.
Join Opensee at the leading financial data management summit in NYC.
Join Opensee at Risk.net's flagship event bringing together senior executives in risk management and traded risk.
Data quality is the cornerstone of impactful decision-making and compliance. Learn how to ingest, transform, & explain your data at scale.