Data Preparation for Analytics

Aimed at SAS users and those involved in the data preparation process for analytics, this book describes coding tips and techniques, conceptual background information on data structures, and considerations from the business perspective. It is not only a coding book and programmer's guide but also an explanation of steps from a business and data modeling point of view. The first section, which omits technical considerations and SAS code, is intended for business and IT people and analysts, and considers their points of view and reasons for data requirements. Subsequent sections contain code and cover structures and modeling of the available source data and resulting analysis table; data mart coding and content; sampling; scoring and automation; and case studies. Svolba is a product manager and consultant at SAS Institute in Austria, where he specializes in analytics and customer intelligence. Annotation c2007 Book News, Inc., Portland, OR (booknews.com)