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Six Sigma at Cintas Corporation
P. Fraser Johnson; Adam BortolussiCase IVEY-9B10D009-EService and Operations ManagementThe green belt specialist at the Cintas Torlake facility near Toronto had four days before he was to present his recommendations to the executive steering committee (ESC) for correcting the capacity problem in the mat department, which was causing product shortages and negatively affecting customer satisfaction. The case provides data that students can use to analyze the processes used at the company for cleaning and replacing mats for its approx...Starting at €8.20
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LendingClub (C): Gradient Boosting & Payoff Matrix
Datar, Srikant M.; Bowler, Caitlin N.Case HBS-119022-EMarketingThis case builds directly on the cases LendingClub (A) and (B). In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default on his loan. Having now built three models, Figel compares them to determine which model is most effective at classifying borrowers correctly then uses that model to determine how t...Starting at €5.74
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Predicting Purchasing Behavior at PriceMart (B)
Datar, Srikant M.; Bowler, Caitlin N.Case HBS-119026-EAccounting and ControlThis case builds directly on the case Predicting Purchasing Behavior at PriceMart (A), in which VP of Marketing, Jill Wehunt, and analyst Mark Morse build a logistic regression model to predict whether a customer household is expecting a baby. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regula...Starting at €5.74
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Data Science at Target
Datar, Srikant M.; Bowler, Caitlin N.Case HBS-118016-EAccounting and ControlParitosh Desai joined Target.com in 2013 as VP of Business Intelligence, Analytics & Testing to explore how the retailer could use its relatively small but thriving e-commerce arm to drive sales and win customers. The case explores the technological and oStarting at €8.20
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Amazon.com: Supply Chain Management
P. Fraser Johnson; Ken MarkCase IVEY-9B18D017-EEntrepreneurship, Information Technologies, Marketing, Service and Operations ManagementBy early 2018, Seattle-based Amazon.com Inc. (Amazon), one of the world’s most valuable companies and the largest online retailer in the world, had grown dramatically since its beginnings in 1994. The company that had started as an online bookseller now sStarting at €8.20
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Data Science at Target (Spanish version)
Datar, Srikant M.; Bowler, Caitlin N.Case HBS-120S21Accounting and ControlParitosh Desai joined Target.com in 2013 as VP of Business Intelligence, Analytics & Testing to explore how the retailer could use its relatively small but thriving e-commerce arm to drive sales and win customers. The case explores the technological and organizational challenges Desai faced and the trade offs he considered in his four-year journey to develop the larger retail business into a data science organization.Starting at €8.20
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Amazon.com: Supply Chain Management (Spanish Version)
P. Fraser Johnson; Ken MarkCase IVEY-W29513Entrepreneurship, Information Technologies, Marketing, Service and Operations ManagementBy early 2018, Seattle-based Amazon.com Inc. (Amazon), one of the world’s most valuable companies and the largest online retailer in the world, had grown dramatically since its beginnings in 1994. The company that had started as an online bookseller now sold merchandise and digital content in more than 30 categories, including electronics, clothing, books, furniture, and streaming music and video. It sold its own products and listed products for ...Starting at €8.20
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Visualizing Data & Effective Communication
Datar, Srikant M.; Bowler, Caitlin N.Case HBS-118114-EAccounting and ControlStarting at €8.20
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Philips' Connected Baby Bottle
Lal, Rajiv; Datar, Srikant M.; Bowler, Caitlin N.Case HBS-519020-EMarketingStarting at €8.20
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Metropolitan College
P. Fraser Johnson; Robert KlassenCase IVEY-9B09D012-EService and Operations ManagementA manager of Student Services at a small college was very concerned about the delays and costs of processing student registrations during the annual orientation week. She glanced at recently collected data on processing times for the six major steps that the registration process required. She wondered how the process might be improved while balancing budgetary pressures to reduce costs.Starting at €8.20