The document discusses the use of business intelligence (BI) in the fast-moving consumer goods (FMCG) and retail industries. It outlines key performance indicators and frameworks for BI systems in retail. It also describes data modeling approaches for retail scenarios and discusses how BI can help address challenges and questions in areas like inventory, pricing, promotions and customer analytics. Major trends include increased competition and expectations, and the need for greater organizational alignment through BI.

1. BI in FMCG/Retail Industry Presented By- Team: Phoenix Abhirup Das (09BM8002) Shweta Jain (09BM8031)

5. Retail KPI’s Reliability Responsiveness Performance Attributes Flexibility Costs Asset Management L1 Metric Perfect order fulfillment Order fulfillment cycle time Capacity change COGS and SCMC C2C Cycle and ROA (adopted from SCC ) SCOR Defined KPI’s Popular KPI’s Sales compared to budget/target Sales compared to last year (or any other period) Sales per Square Foot Wage Cost Recovery Average Sale per Customer/Transaction Units per Customer/Transaction Conversion rate Sales per Hour (for store or associate) – selling hours only Sales per Hour (for store or associate) – total labor hours Time Spent in the Store

6. BI System Framework Sales Force & CRM Excels BI Layer (Business logic, number crunching, metric/report generation ) Data Warehouse (Data Storage) Source Systems SAP ETL Layer Data Extraction, Cleansing, Staging, Transformation & Loading PLM HRMS Visual Audits Outlet Sales, Invoices, Purchase Orders Inventory, Transport Orders, Salary Advice, re-distribution Costs Business Plan, Forecast, A/R, A/P, Audit, Production Plans, Market Research, Production Jobs

8. Data Modeling: Retail Scenario Dimensional Design Steps: 1. Select the Business Process : “POS retail sales ” process to be analyzed: what products are selling on what stores on what date under what promotion scheme? 2. Decide Granularity : Individual line item on a POS transaction 3. Choose the Dimensions Retail sales star-schema 4. Identify the Facts Date Dimension Date Key (PK) Date Attributes TBD Promotion Dimension Promotion Key (PK) Promotion Attributes Store Dimension Store Key (PK) Store Attributes Product Dimension Product Key (PK) Product Attributes POS Retail Sales Transaction Fact Date Key (FK) Product Key (FK) Promotion Key (FK) Store Key (FK) POS Transaction Number Facts Additive facts Non-Additive facts sales quantity Unit price sales dollar amount percentage cost dollar amount Ratio gross profit gross margin

9. Data Modeling: Retail Scenario Dimensional Table Attributes: 1. Product Dimension Product dimension table Product dimension table detail Merchandise Hierarchy Other Attributes Sample Report drill down Product Dimension Product Key (PK) SKU Number (Natural Key) Product Description Brand Description Category Description Department Description Nutritional Value Storage Type Shelf Life Type Product key Product Description Brand Category Department Nutritional Value Storage type Shelf Life 001 Marie Gold Sunfeast Biscuit Bakery Fat-rich Normal 3 m 002 Marie Light (Baked) Priya Biscuit Bakery Protein based Dry-Cool 3m 003 Modern daily-fresh Modern Bread Confectionary Carbo Dry-Cool 7d 004 Choco Ice Cream 1 L Amul Frozen Desserts Frozen Foods Carbo High-cool 3m Department Sales Dollar Amount Sales Quantity Bakery 64,000 8,000 Confectionary 40,000 7,000 Department Brand Sales Dollar Amount Sales Quantity Bakery Sunfeast 34,000 4,000 Bakery Priya 30,000 4,000 Confectionary Modern 40,000 7,000

10. Data Modeling: Retail Scenario 2. Date Dimension Sample Report Dimensional Table Attributes: Date Dimension Date Key (DK) Date Full Date Description Day of Week Calendar Month Calendar Year Fiscal Year- Month Holiday Indicator Weekday Indicator Date Key Date Full Date Description Day of Week Calendar Month Calendar Year Fiscal Year- Month Holiday Indicator Weekday Indicator 1 1/1/2002 1-Jan-02 Tuesday January 2002 F2002-01 Holiday Weekday 2 1/2/2002 2-Jan-02 Wednesday January 2002 F2002-01 Non-Holiday Weekday 3 1/3/2002 3-Jan-02 Thursday January 2002 F2002-01 Non-Holiday Weekday 4 1/4/2002 4-Jan-02 Friday January 2002 F2002-01 Non-Holiday Weekday

11. 3. Store Dimension 4. Promotion Dimension Dimensional Table Attributes: Store Dimension Store Key (PK) Store Name Store Number (Natural Key) Store Street Address Store City Store County Store State Store Zip Code Store Manager Store District Store Region Floor Plan Type Photo Processing Type Financial Service Type Selling Square Footage Total Square Footage First Open Date Last Remodel Date Promotion Dimension Promotion Key (PK) Promotion Name Price Reduction Type Promotion Media Type Ad Type Display Type Coupon Type Ad Media Name Display Provider Promotion Cost Promotion Begin Date Promotion End Date

16. Top Trends in FMCG & Retail Sector IT Budget Outlook by CIOs from the FMCG & Retail sectors Technologies which companies will invest in to save operational costs using IT Top challenges faced by CIOs / CTOs Source: Survey - FMCG - Infrastructure Agenda 2010

18. Q & A