Crm Segmentation And Clustering Using Sas Enterprise Miner
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Crm Segmentation And Clustering Using Sas Enterprise Miner
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Author : Randall S. Collica
language : en
Publisher: SAS Press
Release Date : 2007
Crm Segmentation And Clustering Using Sas Enterprise Miner written by Randall S. Collica and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business categories.
Understanding the customer is critical to your company's success. In this instructive guide, Randy Collica employs SAS Enterprise Miner and the most commonly available techniques for customer relationship management (CRM). You will learn how to segment customers more intelligently and to achieve, or at least get closer to, the one-to-one customer relationship that today's businesses want. Step-by-step examples and exercises clearly illustrate the concepts of segmentation and clustering in the context of CRM. The book, with a foreword by Michael J. A. Berry, is sectioned into three parts. 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 and clustering with many attributes. 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 software.This straight-forward guide will appeal to anyone who seeks to better understand customers or prospective customers. Additionally, professors and students will find the book well suited for a business data mining analytics course in an MBA program or related course of study. You should understand basic statistics, but no prior knowledge of data mining or SAS Enterprise Miner is required. Included on your bonus CD-ROM are the following: example SAS code, data sets, macros, and Enterprise Miner templates.
Crm Segmentation And Clustering Using Sas R Enterprise Miner Tm
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Author : Randall S. Collica
language : en
Publisher:
Release Date : 2002
Crm Segmentation And Clustering Using Sas R Enterprise Miner Tm written by Randall S. Collica and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Customer Segmentation And Clustering Using Sas Enterprise Miner Second Edition
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Author : Randall S. Collica
language : en
Publisher: SAS Press
Release Date : 2011
Customer Segmentation And Clustering Using Sas Enterprise Miner Second Edition written by Randall S. Collica and has been published by SAS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business categories.
Prev. ed. published under title: CRM segmentation and clustering using SAS Enterprise miner.
Customer Segmentation And Clustering Using Sas Enterprise Miner Third Edition
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Author : Randall S. Collica
language : en
Publisher: SAS Institute
Release Date : 2017-03-23
Customer Segmentation And Clustering Using Sas Enterprise Miner Third Edition written by Randall S. Collica and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-23 with Business & Economics categories.
Résumé : A working guide that uses real-world data, this step-by-step resource will show you how to segment customers more intelligently and achieve the one-to-one customer relationship that your business needs. --
Customer Segmentation And Clustering Using Sas Enterprise Miner Second Edition 2nd Edition
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Author : Randy Collica
language : en
Publisher:
Release Date : 2011
Customer Segmentation And Clustering Using Sas Enterprise Miner Second Edition 2nd Edition written by Randy Collica and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with SAS (Computer file) categories.
Understanding the customer is critical to your company's success. In this book, Randy Collica employs SAS Enterprise Miner and the most commonly available techniques for customer relationship management (CRM). You will learn how to segment customers more intelligently and to achieve, or at least get closer to, the one-to-one customer relationship that today's businesses want.
Customer Segmentation And Clustering Using Sas Enterprise Miner
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Author : Randall S. Collica
language : es
Publisher:
Release Date : 2011
Customer Segmentation And Clustering Using Sas Enterprise Miner written by Randall S. Collica and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Advances In Data Mining Applications And Theoretical Aspects
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Author : Petra Perner
language : en
Publisher: Springer
Release Date : 2012-07-09
Advances In Data Mining Applications And Theoretical Aspects written by Petra Perner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-09 with Computers categories.
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.
Data Preparation For Analytics Using Sas
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Author : Gerhard Svolba
language : en
Publisher: SAS Institute
Release Date : 2006-11-27
Data Preparation For Analytics Using Sas written by Gerhard Svolba and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-27 with Computers categories.
Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of 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!
Data Mining Techniques
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Author : Michael J. A. Berry
language : en
Publisher: John Wiley & Sons
Release Date : 2004-04-09
Data Mining Techniques written by Michael J. A. Berry and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-09 with Business & Economics categories.
Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.
Mastering Data Mining The Art And Science Of Customer Relationship Management
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Author : Michael J. A. Berry
language : en
Publisher:
Release Date : 2008-09-01
Mastering Data Mining The Art And Science Of Customer Relationship Management written by Michael J. A. Berry and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-01 with categories.
Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.