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C-1. Suppose we have a data mart representing our company's manufacturing details. The Fact Table has three DIMS (Manufacture_Date, Product, and Factory) with the following

C-1. Suppose we have a data mart representing our company's manufacturing details. The Fact Table has three DIMS (Manufacture_Date, Product, and Factory) with the following HIERS. Note: DATT and FACT details are not shown here but assume we have correctly defined all the necessary DATTS, FACTS, and MBR Keys details. All HIERS are balanced and non-ragged. Dates begin on Jan 1st and contain all the consecutive days. Manufacture_Date # Card. Level Product Categories Factory Geography # Card. Level # Card. Level 1 15 Year 1 20 Category 1 30 State 2 180 Month 2 55 Family 2 60 City 3 5,475 Day 3 150 Model 3 175 Plant Whenever you need to supply a numeric value in your answers, do NOT simply calculate the value, 1st 2nd 3rd 4th list the variable names and value for each variable list the formula using the variable names, then replace with actual variable values simplify the fraction as much as you can show the final value as a decimal value rounded to the nearest 100ths. For example, we could format our answer like this: 2 TE=(4) = (25+509) = (1750) = ( 4 ) - ~= (4) = 0.56 A=25+50, B = 25+75, INFLATE=( 100, [5 points] C-1a.) Calculate the INFLATION FACTOR for this MDM. [5 points] C-1b.) Suppose we redefined the Manufacture_Date's HIERS by adding a Quarter Level defined by calendar months (all other details remain the same). Now calculate the INFLATION FACTOR for this new MDM. C-2. Suppose we have a data mart representing our company's manufacturing details. The Fact Table has three DIMS (Manufacture_Date, Product, and Factory) with the following HIERs. Note: DATT and FACT details are not shown here but assume we have correctly defined all the necessary DATTS, FACTs, and MBR Keys details. All HIERS are balanced and non-ragged. Dates begin on Jan 1st and contain all the consecutive days. Manufacture_Date # Card. Product Categories Factory Geography Card. Level Level # Card. Level # 1 15 Year 1 20 Category 1 30 State 2 180 Month 2 55 Family 2 60 City 3 5,475 Day 3 150 Model 3 175 Plant Whenever you need to supply a numeric value in your answers, do NOT simply calculate the value, list the variable names and value for each variable 1st 2nd 3rd 4th list the formula using the variable names, then replace with actual variable values simplify the fraction as much as you can show the final value as a decimal value rounded to the nearest 100ths. For example, we could format our answer like this: A=25+50, B = 25+75, INFLATE=( =(6) 2 = ( 2 25+50 25+75, * = (175) = 2 2 = 0.56 Show the formula, simplify the fractions, and include the decimal value rounded to 100ths place. [5 points] C-1c.) Suppose, in addition to what we did in part b (adding the Quarter level), we also added an Inspection_Date Dimension to the model (now a 4-dimensional model), making Manufacture_Date and Inspection_Date Role Playing Dimensions (quarters are still defined by calendar months, all other details remain the same). Now calculate the INFLATION FACTOR for this new MDM. [5 points] C-1d.) Explain how we can use the INFLATION FACTOR within this situation and describe how we interpret these results when considering the original scenario vs. the scenario in part b vs. the scenario in part cimage text in transcribedimage text in transcribed

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