Customer Segmentation And Clustering Using Sas Enterprise Miner Third Edition
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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 Computers categories.
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. 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 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.
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.
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. --
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.
Predictive Modeling With Sas Enterprise Miner
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Author : Kattamuri S. Sarma
language : en
Publisher: SAS Institute
Release Date : 2017-07-20
Predictive Modeling With Sas Enterprise Miner written by Kattamuri S. Sarma and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-20 with Computers categories.
« Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. »--
Predictive Modeling With Sas Enterprise Miner
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Author : Kattamuri S. Sarma
language : en
Publisher: SAS Institute
Release Date : 2017-07-20
Predictive Modeling With Sas Enterprise Miner written by Kattamuri S. Sarma and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-20 with Computers categories.
A step-by-step guide to predictive modeling! Kattamuri Sarma's Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition, will show you how to develop and test predictive models quickly using SAS Enterprise Miner. Using realistic data, the book explains complex methods in a simple and practical way to readers from different backgrounds and industries. Incorporating the latest version of Enterprise Miner, this third edition also expands the section on time series. Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. Topics covered include logistic regression, regression, decision trees, neural networks, variable clustering, observation clustering, data imputation, binning, data exploration, variable selection, variable transformation, and much more, including analysis of textual data. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner!
Business Analytics Using Sas Enterprise Guide And Sas Enterprise Miner
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Author : Olivia Parr-Rud
language : en
Publisher: SAS Institute
Release Date : 2014-10-01
Business Analytics Using Sas Enterprise Guide And Sas Enterprise Miner written by Olivia Parr-Rud and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-01 with Computers categories.
This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. Today’s businesses increasingly use data to drive decisions that keep them competitive. Especially with the influx of big data, the importance of data analysis to improve every dimension of business cannot be overstated. Data analysts are therefore in demand; however, many hires and prospective hires, although talented with respect to business and statistics, lack the know-how to perform business analytics with advanced statistical software. Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner is a beginner’s guide with clear, illustrated, step-by-step instructions that will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. This book is part of the SAS Press program.
Segmentation Analytics With Sas Viya
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Author : Randall S. Collica
language : en
Publisher:
Release Date : 2021-07-14
Segmentation Analytics With Sas Viya 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 2021-07-14 with Graphic methods categories.
Better understand your customers using segmentation analytics in SAS Viya! Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization demonstrates the use of clustering and machine learning methods for the purpose of segmenting customer or client data into useful categories for marketing, market research, next best offers by segment, and more. This book highlights the latest and greatest methods available that show the power of SAS Viya while solving typical industry issues. Packed with real-world examples, this book provides readers with practical methods of using SAS Visual Data Mining and Machine Learning (VDMML), SAS Model Studio, SAS Visual Statistics, SAS Visual Analytics, and coding in SAS Studio for segmentation model development and analysis. This book is designed for analysts, data miners, and data scientists who need to use the all in-memory platform of SAS Viya for the purposes of clustering and segmentation. Understanding how customers behave is a primary objective of most organizations, and segmentation is a key analytic method for achieving that objective.
Data Mining Techniques Segmentation With Sas Enterprise Miner
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Author : Scientific Books
language : en
Publisher: CreateSpace
Release Date : 2015-05-08
Data Mining Techniques Segmentation With Sas Enterprise Miner written by Scientific Books and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-08 with categories.
SAS Institute implements data mining in Enterprise Miner software, which will be used in this book focused segmentation tasks. SAS Institute defines the concept of Data Mining as the process of selecting (Selecting), explore (Exploring), modify (Modifying), modeling (Modeling) and rating (Assessment) large amounts of data with the aim of uncovering unknown patterns which can be used as a comparative advantage with respect to competitors. This process is summarized with the acronym SEMMA which are the initials of the 5 phases which comprise the process of Data Mining according to SAS Institute. The essential content of the book is as follows: SAS ENTERPRISE MINER WORKING ENVIRONMENTSEGMENTATION PREDICTIVE TECHNIQUES MODELING PREDICTIVE TECHNIQUES FOR SEGMENTATION REGRESSION NODE: MULTIPLE REGRESSION MODEL LOGISTIC REGRESSION DMINE REGRESSION NODE SEGMENTATION PREDICTIVE TECHNIQUES. DECISION TREES DECISION TREE NODE DECISION TREE INTERACTIVE TRAINING DECISION TREE NODE OUTPUT DATA SOURCES GRADIENT BOOSTING NODE SEGMENTATION PREDICITIVE MODELS WITH NEURAL NETWORKS NEURAL NETWORKS FOR SEGMENTATION OPTIMIZATION AND ADJUSTMENT OF SEGMENTATION MODELS WITH NETS: NEURAL NETWORK NODE SIMPLE NEURAL NETWORKS PERCEPTRONS HIDDEN LAYERS MULTILAYER PERCEPTRONS (MLPS) RADIAL BASIS FUNCTION (RBF) NETWORKS LOCAL PROCESSING NETWORKS SCORING NEURAL NETWORK NODE TRAIN PROPERTIES NEURAL NETWORK NODE RESULTS AUTONEURAL NODE NETWORK ARCHITECTURES DM NEURAL NODE ENSEMBLE NODE SEGMENTATION DESCRIPTIVE TECHNIQUES. CLUSTER ANALYSIS CLUSTER ANALYSIS ON ENTERPRISE MINER CLUSTER NODE SOM/KOHONEN NODE VARIABLE CLUSTERING NODE PREDICTIVE MODELING WITH VARIABLE CLUSTERING EXAMPLE ASSESS PHASE IN SEGMENTATION PREDICTIVE MODELS CUTOFF NODE SCORE NODE SEGMENT PROFILE NODE