Esta web utiliza cookies técnicas, de personalización y de análisis, propias y de terceros, para anónimamente facilitarle la navegación y analizar estadísticas del uso de la web. Obtener más información
Resultados de búsqueda
-
Data Science at Target, Teaching Note
Datar, Srikant M.; Bowler, Caitlin N.Nota del Instructor HBS-119108-EContabilidad y controlTeaching note to case 118016Desde 0,00 €
-
Sustainability through Simply Good Jars - Teaching Note
Sheri Lambert; Sara HonovichNota del Instructor IVEY-W28632-EDirección estratégica, MarketingTeaching note for product W28631.Desde 0,00 €
-
#OwnYourStar: Together We Can Counter Rising Antisemitism - Teaching Note
Sheri Lambert; Amy Lavin; Jennifer BermanNota del Instructor IVEY-W30126-EDirección estratégica, MarketingTeaching note for product W30125.Desde 0,00 €
-
Jungle Bay Dominica: How Can An Eco-Resort Amplify Its Marketing? - Teaching Note
Sheri Lambert; Amy Lavin; Charles MillerNota del Instructor IVEY-W34145-EIniciativa emprendedora, MarketingTeaching note for product W34144.Desde 0,00 €
-
Data Science at Target
Datar, Srikant M.; Bowler, Caitlin N.Caso HBS-118016-EContabilidad y 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 oDesde 8,20 €
-
A Risk Versus Reward Approach to Market Research - Teaching Note
Sheri Lambert; Sara HonovichNota del Instructor IVEY-W27948-EContabilidad y controlTeaching note for product W27947.Desde 0,00 €
-
J.Crew: Are Americans Ready to Dress Down? - Teaching Note
Sheri Lambert; Brooke ReaveyNota del Instructor IVEY-W27130-EMarketingTeaching note for product W27129.Desde 0,00 €
-
Predicting Purchasing Behavior at PriceMart (B)
Datar, Srikant M.; Bowler, Caitlin N.Caso HBS-119026-EContabilidad y 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...Desde 5,74 €