Predictive Analytics: Value and Challenges in Financial Services

The data-rich financial services industry has not yet truly been able to leverage the mountains of information residing on their servers across organizations and external locations. This buried mega data may be used to grow revenue, improve efficiency and quality, provide better customer support, and improve products and services. All it takes is for somebody to find it and make sense of it all.

Predictive analytic techniques can help unlock these performance improvement opportunities by producing information to help detect and predict behavior in business trends. In this report, HfS Research looks at the evolving role of predictive analytics in financial services by addressing some key topics:

• What is predictive analytics and how is it different from other forms of analytics used in business?
• What types of businesses use predictive analytics to drive results?
• How to prepare for the “Big Data” crunch and predictive analytics.
• How and why outsourcing predictive analytics can help executives in financial institutions.
• Examples of provider-client relationships that have successfully used predictive analytics to drive performance.