Understanding the Predictive Analytics Lifecycle

Acknowledgments

Since I began working with business analytics in 1985, I have had the good fortune to work and learn from some of the best minds in the world of data. When I joined SAS in 1993, I began to see the excitement that companies experience when they realize that they have finally found a way to use internal data to better understand both their organization and their customers and better manage their own performance by developing key performance indicators. I am grateful for the many conversations with my SAS colleagues and customers over these many years.

These conversations gave me the chance to see predictive analytics in action in different industries and different geographies, and helped me appreciate what predictive analytics contributes to the enhancement of customer experiences worldwide and how it generates value for organizations.

I feel fortunate to have this opportunity to say thank you to all of the amazing people who have coached me, including Jim Goodnight, Clive Pearson, Jeff Babcock, Eric Yao, Herbert Kirk, Lee Richardson, David Fender, Alan Spielman, Steve Gammarino, Rajani Nelamangala, Phil Hyatt, Helen-Jean Talbott, Chuck Zebrowski, Barrett Joyner, Leigh Haddon, Andy Bagwell, Jose Carvalho, Mariana Clampett, Barrett Joyner, Andre Boisvert, Carmelina Collado, Monica Grandeze, Marcos Arancibia, Kimio Momose, Carol Forhan, Bill Marder, Tony Pepitone, and Jon Conklin. Many more colleagues have contributed to my professional development, and I am grateful ...