Product Description

Written for anyone involved in the data preparation process for analytics, this user-friendly text offers practical advice in the form of SAS coding tips and tricks, along with providing the reader with a conceptual background on data structures and considerations from the business point of view. Topics addressed include viewing analytic data preparation in the light of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations for 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!

Product Details

• Amazon Sales Rank: #863257 in Books
• Published on: 2006-11-30
• Released on: 2007-01-19
• Original language: English
• Number of items: 1
• Dimensions: .77" h x 8.20" w x 10.96" l, 2.21 pounds
• Binding: Paperback
• 440 pages

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

Dr. Svolba does an excellent job of illustrating analytic examples in a business environment. He does not constrain himself to 'correct' statistical analysis. Instead, he puts a strong emphasis on matching the business goal with the actual data preparation. Most of the examples in this book are designed with a specific business goal in mind. Therefore, this book is also very useful for people with little business background, such as recent graduates, to add the business perspective into their data mining exercise. --Jin Li, Statistician, Capital One, Financial Services

About the Author
Gerhard Svolba, Ph.D., is a product manager and senior consultant at SAS Institute in Austria, where he specializes in analytics and Customer Intelligence. A SAS user since 1991, he has project experience ranging from conceptual considerations (both business and technical) to data preparation and analytic modeling. He has authored or co-authored numerous papers on medical statistics.