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Enhancing Business Intelligence with Apex Supermarket Data Warehouse and OLAP Tools

This presentation provides an in-depth demonstration of the Apex Supermarket Data Warehouse, focusing on the significance of OLAP in extracting actionable insights. Presented by Khalid Nour, Muhammad Rizvi, Raghuram Vempali, and Surekha Vemuri, we outline the business need for a robust data warehouse solution, discuss the essential dimensions and fact tables, and showcase the relational database cube implementation. This session aims to highlight how effective Business Intelligence can transform supermarket operations and decision-making processes.

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Enhancing Business Intelligence with Apex Supermarket Data Warehouse and OLAP Tools

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  1. Apex Supermarket Data Warehouse

    Presentation 3: Demonstration and OLAP Presented By: Khalid Nour Muhammad Rizvi RaghuramVempali SurekhaVemuri
  2. Outline Background Business Need Dimensions and Fact Relational Database Cube Implementation BI information
  3. Background Apex Supermarket is a supermarket chain with 4 stores in Texas They have stores in: North Texas: Denton East Texas: Houston South Texas: Laredo Central Texas: Lufkin
  4. Business Need Help executive staff study the sale of products by Categories, Regions, States, Cities, Stores, and Time Executive Staff will be able to figure out sales revenue through the different dimension combinations Give strategic information for the Executive Staff to make decisions on optimizing prices of products
  5. Database and Tools Online Transaction Processing (OLTP) Microsoft SQL Server 2008 is used as the RDBMS Online Analytical Processing (OLAP) Microsoft SQL Server 2008 Analysis Services
  6. Dimensions and Fact tables Dimension Tables: Product Store Time PromotionCard Fact Table: Sales Excel File.
  7. Relational Database - SQL Server
  8. Cube Implementation – SQL Server
  9. Business Intelligence Information Gross Profit By Region Gross Profit By Store By Month Total Sales By Category By Store
  10. Gross Profit By Store
  11. Gross Profit By Store By Month
  12. Total Sales By Product Category By Store
  13. Questions
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