 Across the financial services spectrum, enterprises are shifting toward sophisticated data warehousing, enhanced data quality, improved metrics and intelligence, effective data provisioning, and real-time analytics. Driving this shift are some basic requirements for improved business outcomes. They include the need to gain customer insight, mitigate risk, improve profitability, and ensure compliance with a growing cadre of regulations.
To effectively turn information into actionable knowledge, financial services institutions must collect, reconcile, analyze, manage, and monitor a constant source of real-time, rich data from both internal and external sources. For capital markets, this means a full understanding of all details related to a given trade. For banks, it means the ability to analyze customers, products, and portfolios for risk criteria and create competitive advantage and regulatory compliance for their business. For investment banking, it means deal analytics, pricing evaluations, and market analysis that facilitate access to public and private markets. For insurance, it means customer, product, and portfolio analysis, and ultimately compliance with Solvency II and similar regulations. Regardless of segment, all financial services institutions benefit from a holistic, up-to-date, enterprisewide view of critical customer and business data—and the ability to analyze the data for optimal decision-making.
|
Versión para imprimir
