ANALYTICS APPLICATION (REPORTS)
DEVELOPER

1. Siebel Analytics Overview
2. Exploring Siebel Analytics User Interfaces
3. Siebel Analytics Architecture
4. Repository Basics
5. Implementation Methodology
6. Building the Physical Layer of a Repository
7. Building the Business Model Layer of a Repository
8. Building the Presentation Layer of a Repository
9. Testing and Validating a Repository
10. Adding Multiple Sources to a Dimension
11. Adding Calculations to a Fact.
12. Creating Dimensional Hierarchies and Level-Based Measures
13. Using Aggregates
14. Using Partitions or Fragments
15. Using Repository Variables
16. Modeling Time Series data
17. Modeling Slowly Changing Dimensions
18. Modeling Header and Detail Data
19. Prototyping and Non-Dimensional Data
20. Modeling Extension Tables
21. Modeling Leading Practices
22. Analytics Security
23. Cache Management
24. Siebel Analytics Applications Overview
25. Exploring the Rebuilt Repository
26. Customizing the Repository
27. Application Implementation Security
28. Extending the Siebel Relationship Management Warehouse
29. Wrap-Up