Financial institutions have accumulated large quantities of valuable data and metadata, but the levels of maturity in terms of how they utilize that data differ from one organization to another. For many organizations, data still resides in different data stores within the enterprise—discovering, consolidating, and integrating that data in a way that increases its relative value remains a challenge.
To truly achieve their data management goals, these companies need applications that solve real business problems; drive business benefits; support innovative, value-added, customer-facing applications; and
continuously optimize internal operations. The maturity with which they integrate data and metadata will determine their success in these areas.
Applications for AI and machine learning are emerging to help them develop automated, proactive solutions such as fraud identification applications, data visualization solutions for customers, compliance.
safeguards, and others. The goal for financial institutions is therefore to manage their data and metadata so they can apply it in an optimized way across any number of applications that drive business value—now and in the future.
But while some are only beginning their journey towards data maturity, industry leaders are blazing trails in terms of practical data solutions.
This report explores recent trends and winning strategies that demonstrate how financial institutions can get the greatest value from their enterprise data. With a focus on connecting data and metadata across the enterprise, the report demonstrates how financial institutions can build this foundation. Also featured
here are qualitative insights from leading data practitioners about the strategies and initiatives driving their ongoing success.
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