Presented By: Muhammad Rizvi Raghuram Vempali Surekha Vemuri.

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Presentation transcript:

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 East Coast: Georgia, New York, Virginia Midwest: Illinois, Kansas Southwest: Texas

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

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

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”?

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.

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

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

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.

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

Questions???