This website uses technical, customisation and analytical cookies, both first-party and third-party, to anonymously facilitate browsing and analyse statistics on use of the website. Learn more
Search results
-
Philips' Connected Baby Bottle
Lal, Rajiv; Datar, Srikant M.; Bowler, Caitlin N.Case HBS-519020-EMarketingStarting at €8.20
-
La Compañía Jamestown
Shapiro, Benson P.; Hoff, Edward J.Case HBS-504S27MarketingEn mayo de 1983 Sra. Katherine O'Brien, vicepresidente de marketing, se debe decidir si Jamestown suspender el uso de representantes independientes en favor de una fuerza de ventas directa de las empresas. Jamestown vende vajilla de gres informal a través de los grandes almacenes y de regalo. Un reescrito versión de un caso anterior.Starting at €8.20
-
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
-
Nestlé S.A.: International Marketing (A) (Spanish Version)
Quelch, John A.; Hoff, Edward J.Case HBS-506S19MarketingUn alto directivo en la sede de Nestlé está revisando el papel del personal de marketing central con respecto a las empresas operativas de Nestlé en todo el mundo. Se presentan dos ejemplos específicos de la función del personal central en la orientación de la publicidad y el envasado de las decisiones de las empresas que operan.Starting at €8.20
-
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
-
LendingClub (B): Decision Trees & Random Forests
Datar, Srikant M.; Bowler, Caitlin N.Case HBS-119021-EMarketingThis case builds directly on the case LendingClub (A). In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan. Technical topics include: (1) Decision trees as a modelling technique, overfitting and induction bias, model validation; (2) Random forest as an ensemble-style modelling technique, bootstrapping,...Starting at €5.74