Online Marketing Giant

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Presentation transcript:

Online Marketing Giant Chetan Bhirud Raza Mohammad Abinash Sahoo

Outline Business Background Business Need Fact and dimensions Fact table Dimension table Hierarchies Star schema

Business Background Some Amazon facts are The Amazon Warehouse has store houses as big as Five Football Grounds. Amazon has online markets in 16 Countries. Kindle is the highest sold product on Amazon. With Kindle Fire newly launched on market. Revenue: US$ 74.45 Billion (2013) The website is available in 9 Languages.

Business Need Help executive staff to see detailed information about: What type of Customers to target based on AgeGroup and Gender Most popular products in the Business Which Products are being sold the most based on the Location. Day based, Monthly , Quarterly and Yearly usage reports based on Product/Sales.

Facts and dimensions Dimensions: Amazon Facts: Product Sales Customer warehouse Shipper Time Amazon Facts: Sales quantity

Fact table Amazon Fact Table Sales_ID(PK) Prod_ID Shipper_ID WH_ID Time_ID Quantity SalesAmount (Based on Qty and Price) ShippedDate DeliveryDate ShippingTime(Per Order) AverageShippingTime(On Total)

Dimensions table Product Table Time Table Location Table Prod_ID Prod_Name Prod_Brand Prod_Category Prod_Price Location Table LOC_ID LOC_Area City State Region Customer Table Cust_ID Cust_Gender Cust_AgeGroup Cust_City Cust_State Cust_Region Shipper Table Shipper_ID Shipper_Name Shipper_Area Shipper_City Shipper_State Shipper_Region Time Table Time_ID Time_Day Time_Year Time_Quarter Time_Month

Product Hierarchy Product Hierarchy can be categorized as: Category Categories Product Hierarchy can be categorized as: Category Sub-Category Products Amazon Products Books Home Appliances Clothing Computers Sports Maths 101 Oven Jacket Mouse Shoes Harry Potter Mixer Sweater FootBall Keyboard Two States Vaccum Cleaner Hoddies Tennis TubeLights

Location Hierarchy Location Hierarchy can be categorized on the basis: Region State City Area

Customer Dimension Customer Hierarchy can be categorized as: Gender (Male, Female) AgeGroup

Shipper Hierarchy Shipper Hierarchy Region wise: Region State City Area

Time Hierarchy Time Hierarchy can be categorized as: Day Month Quarter Year Quarter Values Quarter I January February March Quarter II April May June Quarter IIi July August September Quarter Iv October November December

Star schema

References http://www.pinterest.com/pin/425590233512070888/ http://www.acegroup.com/us-en/contact-us/region-to-state-mapping.aspx Http://www.amazon.com

Thank you ANY QUERIES? ……