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

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

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Data warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar. Business Needs. A specialized OLAP system for information on a product profitability. Why Datawarehouse ?. - PowerPoint PPT Presentation

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Page 1: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Data warehousingfor

Profit Analysis

By

A Sai KrishnaGeethika Lokanadham

Mithun RajannaKV Kumar

Page 2: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Business Needs

A specialized OLAP system for information on a product profitability

Page 3: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Why Datawarehouse?

• Faster and more efficient decisions-Provide timely access to vast amount of data available across the bank

• Current and Historical information on a customer risk information

• Optimize cost per customer-User based Access

• Improve decision making through standardized reporting and definitions

Page 4: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Objective

• Profit from a particular customer at any given point of time

• Aggregate Profit from wholesale/retail customers at any given point of time

• Profit for any given country’s customer• Profit for a particular product customer

Page 5: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

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

Page 6: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Fact Table

PROFIT table

Page 7: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Dimension Table

Page 8: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Star Schema

Page 9: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Measures

• A measure is a property on which calculations (e.g., sum, count, average, minimum, maximum) can be made using pre-computed aggregates.

Page 10: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Product-Profit-Time:In the second quarter of 2011 year the profit of a product p13

Page 11: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

ReportsProfit for a particular bank during a course of an year/month/which week of the month/whether if it’s a holiday or weekday

Page 12: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Profit for a particular bank during a course of an year/month/which week of the month/whether if it’s a holiday or weekday and whether if the customer is retail or

wholesale customer.

Page 13: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Profit based on location for a wholesale or retail customer

Page 14: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Profit from retail or wholesale customers for a particular country for a year » quarter » month

Page 15: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

For BOFA for a year->month and for a particular country » state

Page 16: Data  warehousing for Profit Analysis By A Sai Krishna Geethika Lokanadham Mithun Rajanna KV Kumar

Thank you …….