By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar Data warehousing for Risk Analysis

 A specialized OLAP system for monitoring customer credit risk information is a fundamental requirement  Credit risk for a particular customer at any given point of time  Credit risk for wholesale/retail customers at any given point of time  Credit risk for any given country’s customer  Credit risk for a particular product customer

 More effective for handling simpler queries for users to write, and databases to process.  Queries are written with simple inner joins between the facts and a small number of dimensions.  Star joins are simpler than possible in snowflake schema. Where conditions need only to filter on the attributes desired, and aggregations are fast.  To optimize user ease-of-use and retrieval performance by minimizing the number of tables to join to materialize a transaction

 RISK table

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