Predictive analytics can yield substantial ROI. Just consider these examples:

• A Canadian bank uses predictive analytics to increase campaign response rates by 600%, cut customer acquisition costs in half, and boost campaign ROI by 100%.
• An airline increases revenue and customer satisfaction with better estimates of the number of passengers who won't show up for flights.

But just what is predictive analytics exactly… and why is it still in an early-adopter phase?

This TDWI report—based on a recent survey co-sponsored by Teradata, as well as on interviews with BI and analytics practitioners, consultants, and solution providers—seeks to not only answer these questions, but also:

• explore the business value of predictive analytics
• review delivery platforms and analytical models
• discuss trends in the practice of predictive analytics
• provide recommendations about how to implement a predictive analytics practice.

Additionally, an overview of Teradata's predicative analytics solutions is provided at the end of the report.

To discover the latest views and trends in predictive analytics, as well as suggestions for how your enterprise can enjoy benefits from predictive analytics while it is still in its early-adopter phase, download this report.