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Apex Supermarket Data Warehouse

Apex Supermarket Data Warehouse. Presented By: Muhammad Rizvi Raghuram Vempali Surekha Vemuri. Background. Apex Supermarket is a supermarket chain with 50 stores in the West Coast, East Coast, Midwest, and Southwest They have stores in: West Coast: California

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Apex Supermarket Data Warehouse

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  1. Apex Supermarket Data Warehouse Presented By: Muhammad Rizvi Raghuram Vempali Surekha Vemuri

  2. Background • Apex Supermarket is a supermarket chain with 50 stores in the West Coast, East Coast, Midwest, and Southwest • They have stores in: • West Coast: California • East Coast: Georgia, New York, Virginia • Midwest: Illinois, Kansas • Southwest: Texas

  3. OLTP System Limitations • Currently, there is an inability to make strategic decisions • Cannot make drill-down or roll-up type reports • Cannot support multi-dimensional analysis and decision making

  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. Why A Data Warehouse? • Allows Decision Support • Provide An Informational System For Executives To Make Strategic Decisions like the following: • Which is the period of time where school products are sold most? • Which are the racks that the school products have to be moved to in order to attract customers during “school season”?

  6. Why A Data Warehouse? • Allows Decision Support • Provide An Informational System For Executives To Make Strategic Decisions like the following: • Which are the store locations where perishable items like fruits and vegetables need to moved off fast? • What is the period of time for which meat foods could stay on rack at the Illinois location of Apex? • Central Repository • Roll-up and Drill-Down • Gives Sales by Category, Region, Store, etc.

  7. Potential Starting Dimensions • Time • Year • Quarter • Month • Day • Area • Regions • States • Cities • Categories • Perishables • Fruits/Vegetables • Dairy • Meats • Non-Perishables • Drinks • Snacks • School Supplies • Cigarettes

  8. Proposed Data Warehouse • Extract data from the Data Warehouse and populate one or more Data Marts for use by groups • Decision makers • Production Department • Personnel Department • Data in data mart is organized using Star schema or Snow flake • Uses Dimensional Tables

  9. Relational Vs Dimentional • Relational databases are stable, flexible and work well for online transaction processing. • A Dimensional Model is a database structure that is optimized for online queries and Data Warehousing tools.  It is comprised of "fact" and "dimension" tables. • Dimensional Models are designed for reading, summarizing and analyzing numeric information, whereas Relational Models are optimized for adding and maintaining data using real-time operational systems.

  10. 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

  11. Questions???

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