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Generative AI
Cloud
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Security
April 28, 2023
For financial services companies, analytics and predictive models have become an important frontline tool to understand and serve customers and to identify market and competitor trends. As data volumes grow, organizations struggle to manage, prepare, and deliver data to business stakeholders, who often have an urgent need to use it to develop insights. As a result, analyst reports show that speed to value with business analytics is declining.
To address this issue, financial services companies can adopt a new paradigm based on a distributed data management architecture. This alternative peer-to-peer approach decentralizes the management and ownership of data that is ultimately used by business stakeholders, dramatically shortening the time required to source, process, and publish data assets. In turn, this can reduce the time to value for business groups using analytics to create new offerings, enhance the customer experience, and increase revenue.
Read our latest point of view on next generation data management for financial services to see how organizations can:
1 PDF (897 KB)