Business Analytics Using Sas Enterprise Guide And Sas Enterprise Miner PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Business Analytics Using Sas Enterprise Guide And Sas Enterprise Miner PDF full book. Access full book title Business Analytics Using Sas Enterprise Guide And Sas Enterprise Miner.

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner
Author: Olivia Parr-Rud
Publisher: SAS Institute
Total Pages: 182
Release: 2014-10
Genre: Business & Economics
ISBN: 1629593273
GET BOOK

Download Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner Book in PDF, ePub and Kindle

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. --

Predictive Modeling with SAS Enterprise Miner

Predictive Modeling with SAS Enterprise Miner
Author: Kattamuri S. Sarma
Publisher: SAS Institute
Total Pages: 574
Release: 2017-07-20
Genre: Computers
ISBN: 163526040X
GET BOOK

Download Predictive Modeling with SAS Enterprise Miner Book in PDF, ePub and Kindle

« 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. »--

Decision Trees for Analytics Using SAS Enterprise Miner

Decision Trees for Analytics Using SAS Enterprise Miner
Author: Barry De Ville
Publisher:
Total Pages: 268
Release: 2019-07-03
Genre: Computers
ISBN: 9781642953138
GET BOOK

Download Decision Trees for Analytics Using SAS Enterprise Miner Book in PDF, ePub and Kindle

Decision Trees for Analytics Using SAS Enterprise Miner is the most comprehensive treatment of decision tree theory, use, and applications available in one easy-to-access place. This book illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements data mining approaches such as regression, as well as other business intelligence applications that incorporate tabular reports, OLAP, or multidimensional cubes. An expanded and enhanced release of Decision Trees for Business Intelligence and Data Mining Using SAS Enterprise Miner, this book adds up-to-date treatments of boosting and high-performance forest approaches and rule induction. There is a dedicated section on the most recent findings related to bias reduction in variable selection. It provides an exhaustive treatment of the end-to-end process of decision tree construction and the respective considerations and algorithms, and it includes discussions of key issues in decision tree practice. Analysts who have an introductory understanding of data mining and who are looking for a more advanced, in-depth look at the theory and methods of a decision tree approach to business intelligence and data mining will benefit from this book.

SAS For Dummies

SAS For Dummies
Author: Stephen McDaniel
Publisher: John Wiley & Sons
Total Pages: 395
Release: 2010-03-16
Genre: Computers
ISBN: 0470642726
GET BOOK

Download SAS For Dummies Book in PDF, ePub and Kindle

The fun and easy way to learn to use this leading business intelligence tool Written by an author team who is directly involved with SAS, this easy-to-follow guide is fully updated for the latest release of SAS and covers just what you need to put this popular software to work in your business. SAS allows any business or enterprise to improve data delivery, analysis, reporting, movement across a company, data mining, forecasting, statistical analysis, and more. SAS For Dummies, 2nd Edition gives you the necessary background on what SAS can do for you and explains how to use the Enterprise Guide. SAS provides statistical and data analysis tools to help you deal with all kinds of data: operational, financial, performance, and more Places special emphasis on Enterprise Guide and other analytical tools, covering all commonly used features Covers all commonly used features and shows you the practical applications you can put to work in your business Explores how to get various types of data into the software and how to work with databases Covers producing reports and Web reporting tools, analytics, macros, and working with your data In the easy-to-follow, no-nonsense For Dummies format, SAS For Dummies gives you the knowledge and the confidence to get SAS working for your organization. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Practical Business Analytics Using SAS

Practical Business Analytics Using SAS
Author: Shailendra Kadre
Publisher: Apress
Total Pages: 565
Release: 2015-02-07
Genre: Computers
ISBN: 1484200438
GET BOOK

Download Practical Business Analytics Using SAS Book in PDF, ePub and Kindle

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition

Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition
Author: Randall S. Collica
Publisher: SAS Institute
Total Pages: 356
Release: 2017-03-23
Genre: Business & Economics
ISBN: 1629605298
GET BOOK

Download Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition Book in PDF, ePub and Kindle

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. --

Decision Trees for Business Intelligence and Data Mining

Decision Trees for Business Intelligence and Data Mining
Author: Barry De Ville
Publisher: SAS Press
Total Pages: 224
Release: 2006
Genre: Business & Economics
ISBN: 9781590475676
GET BOOK

Download Decision Trees for Business Intelligence and Data Mining Book in PDF, ePub and Kindle

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements other business intelligence applications.

Text Mining and Analysis

Text Mining and Analysis
Author: Dr. Goutam Chakraborty
Publisher: SAS Institute
Total Pages: 340
Release: 2014-11-22
Genre: Computers
ISBN: 1612907873
GET BOOK

Download Text Mining and Analysis Book in PDF, ePub and Kindle

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis. This book is part of the SAS Press program.

Data Mining Using SAS Enterprise Miner

Data Mining Using SAS Enterprise Miner
Author: Randall Matignon
Publisher: John Wiley & Sons
Total Pages: 584
Release: 2007-08-03
Genre: Mathematics
ISBN: 0470149019
GET BOOK

Download Data Mining Using SAS Enterprise Miner Book in PDF, ePub and Kindle

The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis. Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data mining techniques and explains the purpose of-and reasoning behind-every node that is a part of the Enterprise Miner software. Each chapter begins with a short introduction to the assortment of statistics that is generated from the various nodes in SAS Enterprise Miner v4.3, followed by detailed explanations of configuration settings that are located within each node. Features of the book include: The exploration of node relationships and patterns using data from an assortment of computations, charts, and graphs commonly used in SAS procedures A step-by-step approach to each node discussion, along with an assortment of illustrations that acquaint the reader with the SAS Enterprise Miner working environment Descriptive detail of the powerful Score node and associated SAS code, which showcases the important of managing, editing, executing, and creating custom-designed Score code for the benefit of fair and comprehensive business decision-making Complete coverage of the wide variety of statistical techniques that can be performed using the SEMMA nodes An accompanying Web site that provides downloadable Score code, training code, and data sets for further implementation, manipulation, and interpretation as well as SAS/IML software programming code This book is a well-crafted study guide on the various methods employed to randomly sample, partition, graph, transform, filter, impute, replace, cluster, and process data as well as interactively group and iteratively process data while performing a wide variety of modeling techniques within the process flow of the SAS Enterprise Miner software. Data Mining Using SAS Enterprise Miner is suitable as a supplemental text for advanced undergraduate and graduate students of statistics and computer science and is also an invaluable, all-encompassing guide to data mining for novice statisticians and experts alike.

Data Preparation for Analytics Using SAS

Data Preparation for Analytics Using SAS
Author: Gerhard Svolba
Publisher: SAS Institute
Total Pages: 440
Release: 2006-11-27
Genre: Computers
ISBN: 1629597902
GET BOOK

Download Data Preparation for Analytics Using SAS Book in PDF, ePub and Kindle

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!