1. GSK FMCG Data Warehouse Design GSK FMCG industry 10 October 2014 1 Pavan Kumar Mantha Vinod Tati Shourya Konda 2 nd December 2014

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. 2

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

4.  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  Distributor wise reports  Retailer wise reports  Product wise reports  And many more… Business needs continued… 4

5. Fact constellation Schema Two fact tables and for each dimension one dimension tablehas been chosen Fact Tables CompanySalesFact Distributor SalesFact 5 Dimension tables Date Product Promotion Retailer Distributor

6. 6 DateTime_ID Product_ID Promotion_ID Retailer_ID Distributor_ID Quantity sold Sale amount Discount_amount Product_ID Product_Name Product_Category Product_brand Price_Per_Unit Product Date Retailer Promotion Promotion_ID Product_ID Promotion_Name Promotion_Category Promotion_brand Promotion_region Promotion_discount Promotion_Desc Retailer_ID Retailer_Name Retailer_Region Retailer_PhNum Retailer_Address Retailer_Type DateTime_ID Time_Month Time_Day Time_Year Time_Quarter Distributor_SalesFact Company_SalesFact DateTime_ID Product_ID Promotion_ID Distributor_ID Distribution_type Distribution_desc Distribution_Qty Distribution_Amount Distributor_ID Distributor_Name Distributor_addrs Distributor_PhNum Distributor_region Fact Constellation schema

7. 7 Database import from MS Access using SQL Server Management Studio

8. 8 Creation of Multi Dimensional Data Model using MS SQL Server – SQL Server Data Tools

9. 9 Multi-dimensional cube Fact Constellation Schema with two fact tables

10. 10 After deploying the database we have generated few reports like:  Monthly sales report  Quarterly sales report  Product wise sales report  Distributor wise sales report…

11. 11 Distributor & Product wise monthly sales report for the month of January 2014 (Goods sold to distributor by company) Grand total of sales = Rs.80295 Quantity sold = 1405 units

12. 12 Retailer & Product wise monthly sales report for the month of January 2014 (Goods sold to retailer by distributor) Grand total of sales = Rs.18285 Quantity sold = 385 units

13. 13 Product wise quarterly sales report for the second quarter 2014 (Goods sold to distributor by company) Grand total of sales = Rs.240135 Quantity sold = 4115 units

14. 14 Product wise quarterly sales report for the second quarter of 2014 (Goods sold to retailer by distributor) Grand total of sales = Rs.170485 Quantity sold = 3620 units

15. 15 Product wise overall promotion report

16. 16 Distributor & Product wise overall promotion report

17. 17 Thus by generating various reports and analyzing the trends in sale of different products in different regions and by different retailers, we can forecast and accordingly target a particular sector.

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