Question: Sales Analysis -Using data to make decisions You are hired as an outside consultant to help a struggling appliances company. Consider the sample data provided

Sales Analysis -Using data to make decisions You
Sales Analysis -Using data to make decisions You
Sales Analysis -Using data to make decisions You are hired as an outside consultant to help a struggling appliances company. Consider the sample data provided by the company. Based on these data, what recommendations would you provide? The company is considering making a change in leadership in Wisconsin. Is this a good idea? Why or why not? Sample Data: State Quota (millions) Sales (millions) Illinois Indiana Michigan Ohio Wisconsin Totalregion: 25.22 10.12 19.49 20.90 8.87 84.60 24.30 10.24 17.77 20.43 6.74 Difference (millions) Performance Index PEES/Q x 100 .92 96.4 .12 101.2 1.72 91.2 47 97.8 2.13 76.0 5.12 94.0 79.48 Sales Rep Quota (millions) Sales millions) Tate Bir 400.2 5594 556.5 848.8 1090.3 Holzer Elbot Martin Campbell Hutchins Lessner Total Wisc 3926 501.0 5124 768 969.3 13403 1285.0 970.5 6739.8 Difference (millions) Performance Index P5/Q x 100 7.6 98.1 58.4 89.6 44.1 921 B01 90.6 1210 88.9 81.0 943 16445 43.9 91.3 91.4 2128.0 760 1421.3 2929.5 1061.8 8857.8 Wisconsin Total regions 302 94.60 6.74 79.43 2.11 5.12 76,0 94.0 Sales Rep Quota (millions Sales (millions) Toto Holtem Elliott Martin Campbell Hutchins Lessner Total Wisc 400.2 559.4 556.5 848.8 1090.3 1421.3 2929.5 1061.8 8867.8 292.6 5010 512.4 768.7 969.3 1340.3 1285.0 970.5 6739.8 Difference (millions) Performance Index PES/QX 100 7.6 98.1 58.4 89.6 44.1 92.1 80.1 90.6 121.0 88.9 810 94.3 1644.5 43.9 91.3 91.4 2128.0 76.0 Hutchins' Sales by Product: Product Sales Quota Sales Difference Can opener Toasters Coffee makers Blenders Griddles Other Total 212.000 468,000 627,000 604,000 573,000 445,500 2,929,500 124,500 237,000 175.000 159,200 340,000 248,300 1,285,000 87,500 231,000 451,000 444.800 233.000 197,200 1,644,500 Performance Index P5/Q x 100 58.7 50.6 28.1 26.4 59.3 557 43.9

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