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Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Ed,Used
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Understanding your customers is the key to your companys success!Segmentation is one of the first and most basic machine learning methods. It can be used by companies to understand their customers better, boost relevance of marketing messaging, and increase efficacy of predictive models. In Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition, Randy Collica explains, in stepbystep fashion, the most commonly available techniques for segmentation using the powerful data mining software SAS Enterprise Miner.A working guide that uses realworld data, this new edition will show you how to segment customers more intelligently and achieve the onetoone customer relationship that your business needs. Stepbystep examples and exercises, using a number of machine learning and data mining techniques, clearly illustrate the concepts of segmentation and clustering in the context of customer relationship management.The book includes four parts, each of which increases in complexity. Part 1 reviews the basics of segmentation and clustering at an introductory level, providing examples from a variety of industries. Part 2 offers an indepth treatment of segmentation with practical topics, such as when and how to update your models. Part 3 goes beyond traditional segmentation practices to introduce recommended strategies for clustering product affinities, handling missing data, and incorporating textual records into your predictive model with SAS Text Miner. Finally, part 4 takes segmentation to a new level with advanced techniques, such as clustering of product associations, developing segmentationscoring models from customer survey data, combining segmentations using ensemble segmentation, and segmentation of customer transactions.New to the third edition is a chapter that focuses on predictive models within microsegments and combined segments, and a new parallel process technique is introduced using SAS Factory Miner. In addition, all examples have been updated to the latest version of SAS Enterprise Miner.
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