Data Warehouse Project Implementation

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Presentation transcript:

Data Warehouse Project Implementation Presented by: Mike Ellis Vinh Ngo

Type of Business Texas HVAC/R wholesaler 30 branch locations Sell predominantly to licensed contractors, mostly on store accounts 16,000 line item products 700 active stocking manufacturers

Dimension Tables Product Store Time Customer ProductID (PK) ProductName Category Subcategory Store StoreID (PK) StoreName StoreRegion StoreState StoreCity StoreFootage Time TimeID(PK) TimeDate DateText DayOfWeek WeekDay DayOfMonth MonthNum MonthText Quarter Season Year Customer CustomerID (PK) CompanyName LicenseType Size

Fact Table SalesFact ProductID (PK) TimeID (PK) StoreID (PK) CustomerID (PK) Quantity PricePerUnit CostPerUnit

Time Hierarchy Season Values Time Dimension Table TimeID(PK) TimeDate DateText DayOfWeek WeekDay DayOfMonth MonthNum MonthText Quarter Season Year Season Values Winter December January February Spring March April May Summer June July August Fall September October November

Time Hierarchy Clarification One dimension, two hierarchies Date.Calendar Year Quarter Month Day Date.Seasonal Year Season Month Day of the Week

Cube Implementation

Measures by Customer Category

Measures by Customer Category (Specific Product)

Measures by License Type Within Branch & Region

Measures and License Type by Branch Within Region

Calendar Hierarchy Expanded for Measures Within Product Hierarchy

Seasonal Hierarchy Expanded for Measures Within Product Hierarchy

Specific Case I

Specific Case II

Data Mining Does not work for this data Microsoft Decision Trees only works with discrete data Data is a simplified subset of actual data Data is randomly generated

Any Questions? Near Bennington, VT 7/22/06