Introduction to Data Mining Case: Performance Lawn Equipment y in the PerformanceUsage levelhow much of the firm's total product is Performance The worksheet Purchasing Survey Lawn Care database provides data related to predict purchased from PLE, measured on a 100-point scale, rang- ing the level of business (Usage Level) obtained from a ing from 0% to 100% third-party survey of purchasing managers of customers Performance Lawn Care. The seven PLE attributes rated past purchases from PLE, measured on the same graphic by each respondent are atisfaction level-how satisfied the purchaser is with the product once an order is confirmed PLE representatives to negotiate price on all types of purchases manufacturer Delivery speed-the amount of time it takes to deliver The data also include four characteristies of the respond- Price level-the perceived level of price charged by Size of firm-size relative to others in this market Price ftexibilitythe perceived willingness of PLE Purchasine Manufacturing image-the overall image of the decentralized procurement) ing firms: 0 small: 1 large) structure-the purchasing method used in a particular company (I centralized procurement, 0 Industry the industry classification of the purchaser Overall service-the overall level of service neces 1 retail (resale such as Home Depot), 0 sary for maintaining a satisfactory relationship between (nonresale, such as a landscaper)] PLE and the purchaser private Sales force image-the overall image of the PLE's( sales force Buying type-a variable that has three categories new purchase, 2 modified rebuy, 3 -straight rebuy) Product qualiryperceived level of quality Elizabeth Burke would like to understand what she Responses to these seven variables were obtained us learned from these data. Apply appropriate data-mining ing a graphic rating scale, where a 10-centimeter line was techniques to analyze the data. For example, can PLIE drawn between endpoints labeled "poor" and "excellent. segment customers into groups with similar perceptions Respondents indicated their perceptions using a mark on about the company? Can cause-and-effect models provide the line, which was measured from the left endpoint. The insight about the drivers of satisfaction and usage level? result was a scale from 0 to 10 rounded to one decimal Summarize your results in a report to Ms. Burke. place. Two measures were obtained that reflected the out- comes of the respondent's purchase relationships with PLE dats and descripsion of this case are basod on the HATCO example on pages 28-29 in Joseph F. Hair,r. Rolgh EAderi Muthlivariase Analysis, 5th ed. (Upper Saddle River, NJ: Prentice Hall, 1998) Introduction to Data Mining Case: Performance Lawn Equipment y in the PerformanceUsage levelhow much of the firm's total product is Performance The worksheet Purchasing Survey Lawn Care database provides data related to predict purchased from PLE, measured on a 100-point scale, rang- ing the level of business (Usage Level) obtained from a ing from 0% to 100% third-party survey of purchasing managers of customers Performance Lawn Care. The seven PLE attributes rated past purchases from PLE, measured on the same graphic by each respondent are atisfaction level-how satisfied the purchaser is with the product once an order is confirmed PLE representatives to negotiate price on all types of purchases manufacturer Delivery speed-the amount of time it takes to deliver The data also include four characteristies of the respond- Price level-the perceived level of price charged by Size of firm-size relative to others in this market Price ftexibilitythe perceived willingness of PLE Purchasine Manufacturing image-the overall image of the decentralized procurement) ing firms: 0 small: 1 large) structure-the purchasing method used in a particular company (I centralized procurement, 0 Industry the industry classification of the purchaser Overall service-the overall level of service neces 1 retail (resale such as Home Depot), 0 sary for maintaining a satisfactory relationship between (nonresale, such as a landscaper)] PLE and the purchaser private Sales force image-the overall image of the PLE's( sales force Buying type-a variable that has three categories new purchase, 2 modified rebuy, 3 -straight rebuy) Product qualiryperceived level of quality Elizabeth Burke would like to understand what she Responses to these seven variables were obtained us learned from these data. Apply appropriate data-mining ing a graphic rating scale, where a 10-centimeter line was techniques to analyze the data. For example, can PLIE drawn between endpoints labeled "poor" and "excellent. segment customers into groups with similar perceptions Respondents indicated their perceptions using a mark on about the company? Can cause-and-effect models provide the line, which was measured from the left endpoint. The insight about the drivers of satisfaction and usage level? result was a scale from 0 to 10 rounded to one decimal Summarize your results in a report to Ms. Burke. place. Two measures were obtained that reflected the out- comes of the respondent's purchase relationships with PLE dats and descripsion of this case are basod on the HATCO example on pages 28-29 in Joseph F. Hair,r. Rolgh EAderi Muthlivariase Analysis, 5th ed. (Upper Saddle River, NJ: Prentice Hall, 1998)