Using SAS Enterprise Miner, this book illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements data mining approaches such as regression, as well as other business intelligence applications that incorporate tabular reports, OLAP, or multidimensional cubes.

Need help understanding the SAS macro facility? You will find all the answers that you need in this easy-to-follow book! Michele Burlew puts her decades of macro programming experience to work for you as she guides you through the basics, as well as the more complex features of the SAS macro facility. Updated extensively for SAS 9, this book includes plenty of examples and step-by-step instructions.

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.