A major multinational bank faced significant challenges due to the lack of standardized data across its enterprise, leading to inconsistencies, duplication, and difficulty linking information across systems. With over 300 petabytes of data generated and stored without centralized governance, data lacked clear ownership and uniform structure. Diverging definitions, formats, and meanings across departments and product lines reduced trust and usability for both data producers and consumers. These issues hindered efficient data discovery, integration, and analysis, limiting the organization’s ability to make informed decisions and effectively leverage its vast data assets across the enterprise.

Join for free to read