May 3, 2023
Data fitness refers to an enterprise’s ability to keep its data accurate, consistent, contextual, compliant, and otherwise fit for use at every stage in its life cycle.
High-quality, relevant, and consumable data can help banks, brokerages, insurance companies, and other financial services firms improve decisions and drive efficient and effective automated processes.
In a recent webinar, TDWI senior research director James Kobielus spoke to Informatica’s Peter Ku, VP and chief strategist for banking/capital markets/financial services and global head of business value engineering, and Snowflake’s Rinesh Patel, global head of financial services. They discussed how financial services organizations can achieve better data fitness through modernized data governance practices, tools, and organizations.
Download this Digital Dialogue today to read the highlights of this discussion!