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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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Disney (C): The Mouse in Times Square
Wheeler, Michael A.; Levenson, Georgia; Dretler, Thomas D.Case HBS-898020-EStrategyDisney's first foray into an urban environment, is the restoration and development of the landmark New Amsterdam Theater in New York's Times Square. Disney must negotiate with the city, state, and various nonprofit organizations focused on the redevelopment of Times Square.Starting at €5.74
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Disney (A), (B), (C), and (D), Teaching Note
Wheeler, Michael A.; Levenson, GeorgiaTeaching Note HBS-898022-EStrategyTeaching Note for (9-898-018), (9-898-019), (9-898-020), and (9-898-021).Starting at €0.00
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ADR Choices
Wheeler, Michael A.; Sebenius, James K.; Aaron, Marjorie CCase HBS-908040-ESix different business disputes, all in the shadow of pending litigation, are described. Students are asked to recommend the appropriate method of dispute resolution (mediation, arbitration, mini-trial, etc.) for each one, depending on the circumstances, especially to assess likely barriers to unassisted negotiation.Starting at €8.20
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Disney (D): The Mouse in Times Square
Wheeler, Michael A.; Levenson, Georgia; Dretler, Thomas D.Case HBS-898021-EStrategySupplements the (C) case.Starting at €5.74
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LendingClub (A): Data Analytic Thinking (Abridged)
Datar, Srikant M.; Bowler, Caitlin N.Case HBS-119020-EMarketingLendingClub was founded in 2006 as an alternative, peer-to-eer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns grades and sub-grades to each application using its own risk evaluation model, it also makes detailed data on each loan applications available to both kinds of investors for their own...Starting at €8.20
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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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Confidential Information for RIGGS ENGINEERING (Seller) (Spanish version)
Wheeler, Michael A.Case HBS-812S11StrategyThe seller (Riggs Engineering) manufactures and services recycling equipment for the computer industry. The buyer (Vericomp) uses solvents in manufacturing chips. Though set in a high-tech industry, this exercise illustrates fundamental aspects of negotiation analysis that would apply in any situation--specifically, potential sources of joint gains and the tension between creating and claiming value. While it may be possible to reach a deal on pr...Starting at €8.20
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Confidential Information for VERICOMP (Buyer) (Spanish version)
Wheeler, Michael A.Case HBS-812S12StrategyThe seller (Riggs Engineering) manufactures and services recycling equipment for the computer industry. The buyer (Vericomp) uses solvents in manufacturing chips. Though set in a high-tech industry, this exercise illustrates fundamental aspects of negotiation analysis that would apply in any situation--specifically, potential sources of joint gains and the tension between creating and claiming value. While it may be possible to reach a deal on pr...Starting 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