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Valuing Snap After the IPO Quiet Period (C)
Di Maggio, Marco; Esty, Benjamin C.; Saldutte, GregCase HBS-218116-EFinanceAnalyzes Snap's value and analyst recommendations following the events described in the B case.Starting at €5.74
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Valuing Snap After the IPO Quiet Period (A), (B), and (C), Teaching Note
Di Maggio, Marco; Esty, Benjamin C.Teaching Note HBS-218101-EFinanceTeaching note for cases 218095, 218096, and 218116.Starting at €0.00
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Artea (C): Potential Discrimination through Algorithmic Targeting
Ascarza, Eva; Israeli, AyeletCase HBS-521037-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €5.74
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Valuing Snap After the IPO Quiet Period (B)
Di Maggio, Marco; Esty, Benjamin C.Case HBS-218096-EFinanceAnalyzes Snap's value and analyst recommendations following the events described in the A case.Starting at €5.74
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Valuing Snap After the IPO Quiet Period (A)
Di Maggio, Marco; Esty, Benjamin C.; Saldutte, GregCase HBS-218095-EFinanceSnap, the disappearing message app, went public at $17 per share on March 2, 2017, making its two 20-something founders the youngest self-made billionaires in the country. Over the next three weeks, 14 analysts made investment recommendations on Snap: twoStarting at €8.20
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Artea (B): Including Customer-level Demographic Data
Ascarza, Eva; Israeli, AyeletCase HBS-521022-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €5.74
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Artea: Designing Targeting Strategies
Ascarza, Eva; Israeli, AyeletCase HBS-521021-EMarketingThis collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmStarting at €8.20
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iyzico: Fundraising in Emerging Markets (B)
Di Maggio, Marco; Yucaoglu, GamzeCase HBS-219065-EFinanceThe case opens in July 2016 as Barbaros Ozbugutu, co-founder and CEO of the Istanbul-based payment technology start-up iyzico, contemplates the pros and cons of the different term sheets the company has received for its Series C round. The case then informs the reader about some changes in circumstances that affected the terms of the shortlisted offers. At the end, the case poses this question: Being faced with worsening terms in a volatile envir...Starting at €5.74
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iyzico: recaudación de fondos en mercados emergentes (B)
Di Maggio, Marco; Yucaoglu, GamzeCase HBS-220S02FinanceEl caso se abre en julio de 2016 Barbaros Ozbugutu, co-fundador y CEO de la tecnología de pago iyzico puesta en marcha con sede en Estambul, contempla los pros y los contras de las diferentes hojas de término la compañía ha recibido para su ronda de Serie C. El caso, entonces informa al lector acerca de algunos cambios en las circunstancias que afectan a los términos de las ofertas preseleccionadas. Al final, el caso plantea esta pregunta: que se...Starting at €5.74
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Artea (D): Discrimination through Algorithmic Bias in Targeting
Ascarza, Eva; Israeli, AyeletCase HBS-521043-EMarketingThis collection of exercises aims to teach students about 1) Targeting Policies; and 2) Algorithmic bias in marketing-implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B), (C), (D) Introduce algorithmic bias. The exercises are designed such that the issues of algorithmic bias and discrimination would emerge inductively, "surprising" the students in the act of recommending a strategy that,...Starting at €5.74