Demand Data Mining Worksheet Excel 3a

xlsx

School

Auburn University *

*We aren’t endorsed by this school

Course

4700

Subject

Industrial Engineering

Date

Dec 6, 2023

Type

xlsx

Pages

7

Uploaded by jzd0099

Report
Please make sure that your submission follows the formatting guidelines: 1. Tables have gridlines/borders 2. Pivot table show results in "tabular form" 3. Use proper column widths 4. Use "wrap text" feature to keep text inside a cell 5. Show numerical results as comma separated values (e.g., 12,045) 6. Show currency values in $ format 7. Display currency and numerical values as whole numbers (zero decimal places) 8. For numerical results with values less than 100 (like %), use two decimal points (e.g., 92.34%) 9. Do not use sub totals in pivot table results 10. Organize datamining results in the same sequence (top-to-bottom) as listed in the worksheet
Team #: Student(s) Name: QUESTION 1 How is PEC managing its distribution network and workload balance across its facilities? Note that PEC’s stated policy is to hold all products at all locations. Is PEC successful in implementing this policy? Table 1A: total gross margin total revenue total quantity shipped total weight shipped total number of customer orders Hint: Select "facility name" as row labels in the pivot table. Map 1A: Color code the map for each region Hint: Use "customer zip" for customer locations Table 1B: Hint: Select "facility name" as row labels in the pivot table. Select "product category" as column labels in the pivot table. Construct a pivot table that shows the following for each distribution center : Construct a Tableau map that shows the location of ALL customers in EACH region Construct a pivot table that shows total quantity shipped for each distribution center AND each product category :
Team #: Student(s) Name: QUESTION 2 How is demand for PEC's products distributed among its customers, models, and product classes? How profitable are these customers and products? Table 2A: total gross margin total revenue total quantity shipped total weight shipped total number of customer orders Hint: Select "product category" as row labels in the pivot table. Color code the map for each product category. Size dots on the map according to total quantity shipped. Show the map only for "Personal Computer" product category. Copy map on the right side of the tables. Hint: 1. Drag-and-drop "Product Category" to "Color" box located in the MARKS section (right below FILTERS section). 2. Drag-and-drop "Quantity Shipped (as SUM)" to "Size" box located in the MARKS section (right below FILTERS section). Table 2B: total gross margin total revenue total quantity shipped total weight shipped Construct a pivot table that shows the following for each product category : Map 2A: Construct a Tableau map to show customer zip codes. Construct a pivot table that shows the following for each customer class :
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total number of customer orders Hint: Select "customer class" as row labels in the pivot table. Table 2C: total gross margin total revenue total quantity shipped total weight shipped total number of customer orders Hint: Select "product class" as row labels in the pivot table. Table 2D: Hint: Select "customer class" as row labels in the pivot table. Select "product class" as column labels in the pivot table. Table 2E: Hint: Select "product category" as row labels in the pivot table. Select "product class" as column labels in the pivot table. Table 2F: total number of customer orders Construct a pivot table that shows the following for each product class : Construct a pivot table that shows total gross margin for each customer class AND each product class : Construct a pivot table that shows total gross margin for each product category AND each product class : Construct a pivot table that shows the following for each profitability rating :
total gross margin
Team #: Student(s) Name: QUESTION 3 How well is PEC serving its customer base in terms of order cycle time, fill rate and shipment performance? Table 3A: Average Standard deviation Minimum Maximum Graph 3A: Format the axis to larger font size. Hint: Select "Histogram" option under "Show Me" tool. Under ROWS, use "Quick Table Calculation" and "% of Total" option. Table 3B: Average Standard deviation Minimum Maximum Table 3C: total number of orders Construct a pivot table that shows the following for order cycle time data: Construct a "Histogram" of order cycle time in Tableau. Construct a pivot table that shows the following for fill rate percentage data: Construct a pivot table that shows the following for each order fill status :
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% of total number of orders Table 3D: total number of orders total number of orders (% of total) total quantity shipped total gross margin Table 3E: average fill rate percentage average order cycle time average commitment date variance Table 3F: average fill rate percentage average order cycle time average commitment date variance Table 3G: total number of orders total revenue average fill rate percentage average order cycle time Construct a pivot table that shows the following for perfect order data: Construct a pivot table that shows the following for each customer class : Construct a pivot table that shows the following for each product class : For each order fill date , show the following: