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By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

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

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By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

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  1. Data warehousingforRisk Analysis By A Sai Krishna GeethikaLokanadham MithunRajanna KV Kumar

  2. Business Needs • 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

  3. Star Schema • 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

  4. Fact Table • RISK table

  5. Dimension Table

  6. Datawarehouse Star Schema

  7. Dimension Table Data

  8. Fact Table Data

  9. Thank you

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