Description: Customer Segmentation and Clustering Using SAS Enterprise Miner, Paperback by Collica, Randall, ISBN 1629601063, ISBN-13 9781629601069, Like New Used, Free shipping in the US Understanding your customers is the key to your company’s 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 step-by-step fashion, the most commonly available techniques for segmentation using the powerful data mining software SAS Enterprise Miner. A working guide that uses real-world data, this new edition will show you how to segment customers more intelligently and achieve the one-to-one customer relationship that your business needs. Step-by-step 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. Th 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 in-depth 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 segmentation-scoring 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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Book Title: Customer Segmentation and Clustering Using SAS Enterprise Miner
Number of Pages: 356 Pages
Publication Name: Customer Segmentation and Clustering Using Sas Enterprise Miner, Third Edition
Language: English
Publisher: SAS Institute
Subject: Programming Languages / General, Customer Relations, Mathematical & Statistical Software, Probability & Statistics / General, Databases / Data Mining, Enterprise Applications / General
Publication Year: 2017
Item Height: 0.7 in
Item Weight: 28.2 Oz
Type: Textbook
Author: Randall S. Collica
Item Length: 11 in
Subject Area: Mathematics, Computers, Business & Economics
Item Width: 8.2 in
Format: Book, Other
