SAP Material PDF Review - BW380

Course Overview......................................................... vii

Course Goals ...........................................................vii

Course Objectives .....................................................vii

Unit 1: Introduction to Business Intelligence and Knowledge

Discovery ....................................................................1

Introduction to Business Intelligence and Knowledge Discovery 2

Unit 2: Basics Of the Analysis Process Designer (APD) ....... 21

Analysis Process Designer (APD) Basics ......................... 22

Unit 3: Association Analysis .......................................... 45

Overview of Association Analysis................................... 46

Association Analysis Modeling and Setup......................... 56

Unit 4: Decision Tree.................................................... 81

Overview of Decision Trees ......................................... 82

Decision Trees:Modeling and Setup................................ 92

Unit 5: Clustering .......................................................131

Overview of Clustering .............................................132

Clustering Analysis Modeling and Set Up ........................140

Unit 6: Approximation (Weighted Scoring and Regression).........169

Overview of Approximation (Weighted Scoring and Regression

) .....................................................................170

Scoring (Weighted Score Tables and Regression): Modeling and

Setup...............................................................180

Unit 7: ABC Analysis...................................................199

Overview of ABC Analysis .........................................200

ABC Analysis: Modeling, Setup, and Advanced Uses..........207

Unit 8: Advanced uses of the Analysis Process Designer

(APD) .......................................................................235

Complex uses of the APD ..........................................236

Unit 9: Advanced Uses of Data Mining (optional) ...............257

Advanced Data Mining Uses: The link to CRM and Data Mining Data Sources .........258

Glossary...................................................................265