In Siebel analytics, describe the end to end life cycle? | OBIEE

The life cycle of Siebel analytics is as follows:
• Business requirements are gathered.
• Source systems are identified.
• ETL is designed to load to DW if source data do not exist.
• Repository is built.
• Dashboard is build or answers are used for reporting.
• Security is defined.
• Select caching mechanism and aggregations based on the performance.
• Testing and QA