Data Preparation for Analytics Using SAS

Additional Book Details

Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view.

The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more!

Book Review

"This book was designed with businesses in mind, but the basic ideas apply easily to all sorts of research endeavors in which decision makers must gather and use data that were initially collected for some other purpose. In my opinion, the book has two great strengths. First, the technical material in the book is wrapped in a sense of purpose and an awareness of the importance of context. "The second great strength is the book's organization and clarity. . . . The development of ideas and examples is clear and orderly, exactly as it should be in a work of this type."

Michael T. Brannick, PhD

Professor, Graduate Program Director

Psychology Department

University of South Florida

Additional resources for this book can be found by accessing the link below.