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Explain The End To End Life Cycle Of Siebel Analytics?

Answer»

Siebel Analytics life cycle

  1. Collect Business Requirements
  2. Recognize source systems
  3. PLAN 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
  7. Based on performance, decide an AGGREGATIONS and/or caching mechanism.
  8. Testing and QA.

Siebel Analytics life cycle


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