1. Data Warehouse Design GSK FMCG industry
Pavan Kumar Mantha
Vinod Tati
Shourya Konda
11th November 2014
10 October 2014 1

2. UK based GSK Plc, maker of popular FMCG products like Horlicks and Sensodyne, has been planning to raise its stake in its Indian unit GlaxoSmithKline Consumer Healthcare to 75 per cent.

3. Business needs User wants to know….
Which are our lowest/highest margin customers ?
Who are my customers and what products are they buying?
What is the most effective distribution channel?
What product prom- -otions have the biggest impact on revenue?
Which customers are most likely to go to the competition ?
What impact will new products/services
have on revenue and margins?

4. Business needs continued…
Daily, Monthly, Quarterly, Yearly reports of sales and manufactured goods.
Strategic information to assess the products demand
Which type of consumers to target
Which products to promote
Territory wise reports
Product wise reports
And many more…

5. Schema Design Star Schema Fact Constellation Schema Snowflake schema
Schema Types
Star Schema
Fact Constellation Schema
Snowflake schema
Initially we have chosen star schema to implement…
Now we have modified the design to implement fact constellation schema

6. Fact constellation Schema
Two fact tables and for each dimension one dimension table has been chosen
Fact Tables
Sales fact
Distribution fact
Dimension tables
Date
Product
Promotion
Retailer
Distributor

7. Sales Fact Sale ID (PK) Date Key (FK) Product Key (FK)
Promotion key (FK)
Distributor key (FK)
Quantity sold
Sale amount
Discount percent
Distributor Dimension
Distributor key (PK)
Distributor attributes

8. Distribution Fact Distributor ID (PK) Date Key (FK) Product Key (FK)
Promotion key(FK)
Retailer Key (FK)
Quantity
Sale amount
Retailer Dimension
Retailer key (PK)
Retailer attributes

9. Date Product Sale Fact Retailer Distribution Fact Promotion Product_ID
Product_Name
Product_Category
Product_brand
Price_Per_Unit
DateTime_ID
Day
Month
Quarter
Year
Actual_date
Sale Fact
DateTime_ID
Product_ID
Promotion_ID
Distributor_ID
Quantity sold
Sale amount
Discount percent
Distributor_ID
Distributor_Name
Distributor_addrs
Distributor_PhNum
Distributor_region
Retailer
Retailer_ID
Retailer_Name
Retailer_Region
Retailer_PhNum
Retailer_Address
Retailer_Type
Distribution Fact
Promotion
Distribution_ID
Date Key
Product_ID
Promotion key
Retailer_ID
Distribution_type
Distribution_desc
Distribution_Qty
Distribution_Amount
Promotion_ID
Promotion_Name
Promotion_Category
Promotion_brand
Promotion_region
Promotion_discount
Promotion_Desc