Organizations can use data mining and advanced analytics to dramatically improve their bottom line in three basic ways, by (1) streamlining a process, (2) eliminating the bad, or (3) improving the good. But modern organizations are so effective at their core tasks that data mining usually results in an iterative, rather than transformative, improvement. This talk will discuss the traits and culture within a business unit that tend to turn data mining techincal successes into business successes, by highlighting some projects for some of America's most innovative agencies and corporations.

Antonia de Medinaceli is a Senior Business Analyst at Elder Research, where she has been involved in all aspects of the data mining process over the past decade. Antonia has applied data mining technologies to a wide range of projects, including direct marketing, crime pattern analysis, credit scoring, and fraud detection. Her consulting experience is both domestic and international, and she is fluent in her native French and proficient in Spanish. Antonia is experienced with most of the leading statistical software packages, and has taught data mining short courses both on concepts and specific software. She has degrees in Computer Science and Systems Engineering from the University of Virginia.