What is the end to end life cycle of Siebel Analytics? OBIEE

Siebel Analytics life cycle:
1. Gather Business Requirements
2. Identify source systems
3. Design ETL to load to a DW if source data doesn’t exist.
4. Build a repository
5. Build dashboard or use answers for reporting.
6. Define security (LDAP or External table…)
7. Based on performance, decide on aggregations and/or caching mechanism.
8. Testing and QA.