1 All Powder Board and Ski Microsoft Access Workbook Chapter 8: Data Warehouses and Data Mining Jerry Post Copyright © 2003.

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1 All Powder Board and Ski Microsoft Access Workbook Chapter 8: Data Warehouses and Data Mining Jerry Post Copyright © 2003

2 Desired Sales Cube Dimensions Sales Dimensions State (ship) Month Category Style SkillLevel Size Color Manufacturer BindingStyle WeightMax? ItemMaterial? WaistWidth?

3 Early Data: Spreadsheets

4 Create Customer and Employee CustomerID and EmployeeID are missing from the old data. Instead of relying on blank cell values, create a new customer called “Walk-in” and a new employee called “Employee” Write down the ID numbers generated for these anonymous entries. If you use SQL, you can assign a value of zero to these entries. INSERT INTO Customer (CustomerID, LastName) Values (0,'Walk-in') INSERT INTO Employee (EmployeeID, LastName) Values (0,'Staff')

5 Extract Model Data SELECT DISTINCT OldSales.ModelID, OldSales.ManufacturerID, OldSales.Category, OldSales.Color, OldSales.ModelYear, OldSales.Graphics, OldSales.ItemMaterial, OldSales.ListPrice, OldSales.Style, OldSales.SkillLevel, OldSales.WeightMax, OldSales.WaistWidth, OldSales.BindingStyle FROM OldSales;

6 UNION Query for Models SELECT DISTINCT ModelID, ManufacturerID, Category, … FROM OldSales UNION SELECT DISTINCT ModelID, ManufacturerID, Category, … FROM OldRentals

7 Insert Model Data into ItemModel INSERT INTO ItemModel (ModelID, ManufacturerID, Category, Color, ModelYear, Graphics, ItemMaterial, ListPrice, Style, SkillLevel, WeightMax, WaistWidth, BindingStyle) SELECT DISTINCT qryOldModels.ModelID, qryOldModels.ManufacturerID, qryOldModels.Category, qryOldModels.Color, qryOldModels.ModelYear, qryOldModels.Graphics, qryOldModels.ItemMaterial, qryOldModels.ListPrice, qryOldModels.Style, qryOldModels.SkillLevel, qryOldModels.WeightMax, qryOldModels.WaistWidth, qryOldModels.BindingStyle FROM qryOldModels;

8 Insert SKU Data into Inventory INSERT INTO Inventory (ModelID, SKU, Size, QuantityOnHand) SELECT DISTINCT qryOldInventory.ModelID, qryOldInventory.SKU, qryOldInventory.Size, 0 As QuantityOnHand FROM qryOldInventory; Note the use of the column alias to force a zero value for QuantityOnHand for each row

9 Copy Sales Data INSERT INTO Sales (SaleID, SaleDate, ShipState, ShipZIP, PaymentMethod) SELECT DISTINCT OldSales.SaleID, OldSales.SaleDate, OldSales.ShipState, OldSales.ShipZIP, OldSales.PaymentMethod FROM OldSales; Note that if you have added data to your Sales table, your existing SaleID values might conflict with these You can solve the problem by adding a number to these values so they are all larger than your highest ID INSERT INTO Sales (SaleID, SaleDate, ShipState, ShipZIP, PaymentMethod) SELECT DISTINCT OldSales.SaleID+5000, OldSales.SaleDate, OldSales.ShipState, OldSales.ShipZIP, OldSales.PaymentMethod FROM OldSales;

10 Copy SaleItem Rows INSERT INTO SaleItem (SaleID, SKU, QuantitySold, SalePrice) SELECT DISTINCT OldSales.SaleID+5000, OldSales.SKU, OldSales.QuantitySold, OldSales.SalePrice FROM OldSales; If you transformed the SaleID in the prior step for the Sale data, you must do the exact same calculation for SaleID in the SaleItem table

11 Query for PivotTable Include all desired sale dimensions Compute Value as quantity times price Format SaleDate as year and month: yyyy-mm

12 PivotTable Form Wizard

13 PivotTable Screen Place columns (month) Place rows (State, Category) Place Value last Place other columns

14 PivotTable Right click to select all columns and choose Hide Details

15 PivotTable Groups

16 Time Series Analysis: Excel

17 GIS: Microsoft MapPoint The PivotTable places the data into rows and columns A dynamic copy of this sheet is used to remove the top rows

18 MapPoint Data Wizard

19 GIS Analysis of Sales

20 Sales by State for Regression Note that some states are missing from the list.

21 Regression Setup You should include the label row but be sure to check the box to show you included it

22 Regression Results Relatively high R-square Population is a significant predictor, income is not