Data Warehouse and Business Intelligence
- 1. Guided by Prof. Joseph Morabito Data Warehouse and Business Intelligence System for Fomokart Presentation by: Utkarsh Agrawal
- 2. Contents 2 ● Company Introduction ● Bus Matrix ● Dimensional Model o Star Schema o Conformed Dimensions o Aggregate Tables o Cube ● Data Visualization ● Dashboards ● Conclusion
- 3. Fomokart Online portal for Indian Savories, Snacks & Sweets, Dry Fruits, Chocolates & Candies, Pickles, Bakery, Ready to Eat, Spices and more
- 4. Introduction Substantial Investment in IT 4 ● Every city has it’s own famous range of specialty foods, many of whose reach does not surpass its local region. ● Authentic regional ethnic food with unique taste generally isn’t easily accessible ● For people interested in a variety of specialty food products it becomes very difficult to go to different cities and buy specific items. ● For people habitual of a certain taste and not being able to find it locally is an issue.
- 5. Solution Substantial Investment in IT 5 ● Bringing your native specialty snacks and sweets to you. ● Ordering process digitalize. ● Price affordable. ● Deliver in short time. ● Easily accessible. ● Change traditional market trend. ● Customize Shipping. Outcomes
- 7. High Level Bus Matrix 7
- 13. Sales Fact 13
- 15. Time Category 15
- 16. Star Schema 16
- 19. Cube 19
- 21. Dashboard - Sales by Revenue 21
- 22. Dashboard - Sales by Country 22
- 25. Dashboard - Product Search Term 25
- 28. Conclusion 28 ● Converting transactional data to data warehouse has given the flexibility to build the report as per requirement. ● The revenue and sales are easily understandable through the dashboards. ● Marketing team can approach the targeted customers based on their purchase history and site visits. ● The support staffs can have a centralized view of the BI portal to monitor and improve the business. ● The visualization can help in gaining the insights regarding the popularity of the product and the categories to keep up the stocks as per the demand.
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