1. Copyright © 2010, SAS Institute Inc. All rights reserved. Advanced Business Analytics

2. 2 Chapter 1 Overview 1.1Overview of Business Analytics 1.2Software Used in This Course 1.3Recommended Reading 1.4Solutions to Student Activities (Polls/Quizzes)

3. 3 Chapter 2 Basics of Business Analytics 2.1Overview of Techniques 2.2Data Management 2.3Data Difficulties 2.4SAS Enterprise Miner: A Primer 2.5Honest Assessment 2.6Methodology 2.7Recommended Reading 2.8Solutions to Student Activities (Polls/Quizzes)

4. 4 Chapter 3 SAS Rapid Predictive Modeler 3.1Introduction 3.2SAS Rapid Predictive Modeler Process Overview 3.3SAS Rapid Predictive Modeler Model Settings 3.4SAS Rapid Predictive Modeler Output 3.5Saving Model Project Data 3.6Registering the Model 3.7Scoring 3.8SAS Rapid Predictive Modeler Methods in SAS Enterprise Miner 3.9Opening SAS Rapid Predictive Modeler Diagrams in SAS Enterprise Miner 3.10Modifying SAS Rapid Predictive Modeler Diagrams

5. 5 Chapter 4 Predictive Modeling 4.1Introduction to Predictive Modeling 4.2Predictive Modeling Using Decision Trees 4.3Predictive Modeling Using Logistic Regression 4.4Churn Case Study 4.5A Note about Model Management 4.6Recommended Reading 4.7Solutions to Student Activities (Polls/Quizzes)

6. 6 Chapter 5 Design of Experiments 5.1Why Experiment? 5.2Introduction 5.3Multi-Factor Experiments 5.4Orthogonality and Blocking 5.5Business Experiments with Continuous Responses 5.6Recommended Reading 5.7Solutions to Student Activities (Polls/Quizzes)

7. 7 Chapter 6 Segmentation 6.1Introduction 6.2Cluster Segmentation 6.3Market Basket Analysis 6.4Recommended Reading 6.5Solutions to Student Activities (Polls/Quizzes)

8. 8 Chapter 7 Forecasting 7.1Introduction 7.2Time Series Characteristics and Components 7.3Introduction to SAS Forecast Studio 7.4Time Series Regression Models 7.5Time Series Data and Hierarchical Data Structure 7.6Recommended Reading 7.7Solutions to Student Activities (Polls/Quizzes)

9. 9 Appendix A Introduction to Statistical Concepts A.1Fundamental Statistical Concepts A.2Picturing Distributions A.3Confidence Intervals for the Mean A.4Hypothesis Testing A.5Two-Sample t Tests A.6One-Way ANOVA A.7ANOVA Post Hoc Tests A.8Two-Way ANOVA with Interactions A.9Checking Linear Regression Assumptions

10. 10 Appendix B A Primer of Time Series Forecasting Models B.1A Primer of Time Series Forecasting Models

11. 11 SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2012 SAS Institute Inc. Cary, NC, USA. All rights reserved. Prepared 11JUN2012.