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Book Cover
E-book
Author Parr-Rud, Olivia, author

Title Business analytics using SAS Enterprise Guide and SAS Enterprise Miner : a beginner's guide / Olivia Parr-Rud
Published Cary, N.C. : SAS Institute, 2014

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Description 1 online resource (xii, 168 pages)
Contents Defining the business objective -- Data types, categories, and sources -- Overview of descriptive and predictive analyses -- Data construction for analysis -- Descriptive analysis using SAS Enterprise Guide -- Market analysis using SAS Enterprise Guide -- Cluster analysis using SAS Enterprise Miner -- Tree analysis using SAS Enterprise Miner -- Predictive analysis using SAS Enterprise Miner
Summary 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. This beginnner's guide with clear, illustrated, step-by-step instructions 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. -- Edited summary from book
Bibliography Includes bibliographical references (page 157) and index
Notes Print version record
SUBJECT SAS (Computer file) http://id.loc.gov/authorities/names/n88028236
Enterprise guide. http://id.loc.gov/authorities/names/n2003075658
Enterprise miner. http://id.loc.gov/authorities/names/n00074578
Enterprise guide fast
Enterprise miner fast
SAS (Computer file) fast
Subject Business intelligence.
Business planning -- Statistical methods
COMPUTERS -- Mathematical & Statistical Software.
Business intelligence
Form Electronic book
ISBN 9781629593272
1629593273
9781629593289
1629593281
1612907830
9781612907833