Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization

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.

1139843765
Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization

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.

34.99 In Stock
Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization

Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization

by Randall S. Collica
Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization

Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization

by Randall S. Collica

eBook

$34.99 

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Overview

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.


Product Details

ISBN-13: 9781951684075
Publisher: SAS Institute
Publication date: 07/14/2021
Sold by: Barnes & Noble
Format: eBook
Pages: 136
File size: 22 MB
Note: This product may take a few minutes to download.

About the Author

Randy Collica is a Principal Solutions Architect at SAS supporting the retail, communications, consumer, and media industries. His research interests include segmentation, clustering, ensemble models, missing data and imputation, Bayesian techniques, and text mining for use in business and customer intelligence. He has authored and coauthored 11 articles and 2 books. He holds a US patent titled "System and Method of Combining Segmentation Data." He received a BS degree in electronic engineering from Northern Arizona University.
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