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Enterprise management

Blazing a trail with next generation data management

Democratizing trusted data for greater collaboration and deeper insights

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:

  • Drive down total cost of IT ownership by removing the need for IT to act as an intermediary between data producers and data consumers
  • Fuel innovation by quickly giving stakeholders access to the data they need to experiment, develop solutions, and gain insights
  • Increase data literacy and collaboration through transparent data product descriptions, peer reviews, and sample datasets