What is the end to end life cycle of Siebel Analytics?
o 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.