The objective of data warehousing is to analyze data from diverse sources to support decision making. To achieve this goal, we face two challenges:
SAP R/3 is an ERP (Enterprise Resources Planning) system that most large companies in the world use to manage their business transactions. Before the introduction of SAP BW in 1997, ETTL of SAP R/3 data into a data warehouse seemed an unthinkable task. This macro-environment explained the urgency with which SAP R/3 customers sought a data warehousing solution. The result is SAP BW from SAP, the developer of SAP R/3.
In this chapter we will introduce the basic concept of data warehousing. We will also discuss what SAP BW (Business Information Warehouse) is, explain why we need it, examine its architecture, and define Business Content.
First, we use sales analysis as an example to introduce the basic concept of data warehousing.
Part I. Guided Tours
Business Scenario and SAP BW
Creating an InfoCube
Loading Data into the InfoCube
Checking Data Quality
Creating Queries and Workbooks
Managing User Authorization
Part II. Advanced Topics
InfoCube Design
Aggregates and Multi-Cubes
Operational Data Store (ODS)
Business Content
Generic R/3 Data Extraction
Data Maintenance
Performance Tuning
Object Transport
Appendix A. BW Implementation Methodology
Object Transport
Appendix B. SAP Basis Overview
Object Transport
Appendix C. Glossary
Appendix D. Bibliography