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Darden Survivor: Who Will Outwit, Outlast, and Outplay? (A)
Darden Survivor: Who Will Outwit, Outlast, and Outplay? (A)
Collection: Darden School of BusinessIn this field-based case, two Darden School of Business students and superfans of the show Survivor create their own extracurricular version of the game, retaining key elements such as alliances, blindsides, hidden immunity idols, and tribe switches. At the start of the quarter, 16 students are broken into two tribes that compete in weekly immunity challenges over 12 weeks. Winning tribes are safe
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Darden Survivor: Who Will Outwit, Outlast, and Outplay? (B)
Darden Survivor: Who Will Outwit, Outlast, and Outplay? (B)
Collection: Darden School of BusinessThis case should be used after students have read "Darden Survivor: Who Will Outwit, Outlast, and Outplay? (A)" (UVA-OB-1486). It reveals the outcome of the penultimate and ultimate tribal councils, as well as further challenges students to consider the role of authenticity in relationships.
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Flipkart: Leveraging Customer Analytics
Flipkart: Leveraging Customer Analytics
Collection: Darden School of BusinessFlipkart is a large online retail platform operating in India. It seeks to use its promotional dollars more effectively by leveraging information generated by the data it collects on consumer purchases. At the University of Virginia Darden School of Business, this field-based case is taught in the required Marketing course. The case set includes a student spreadsheet and an instructor PowerPoint
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Twitter, Inc.: Deal on Hold
Twitter, Inc.: Deal on Hold
Collection: Darden School of BusinessThis case puts students in the shoes of Chas Cocke, founder and portfolio manager of investment fund LB Partners (LB) as he evaluates the risks around investing in Twitter, Inc. (Twitter), stock in mid-May of 2022. Shares at that time were trading at a 35% discount to the purchase price that billionaire Elon Musk had offered (and that the Twitter board of directors had accepted) just 18 days earli
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Common Wealth Crush: Financing a Vision
Common Wealth Crush: Financing a Vision
Collection: Darden School of BusinessThis case examines the financing decisions and valuation of a start-up venture, Common Wealth Crush Co. (CWC), that seeks to support wine production in central Virginia by centralizing processing facilities and resources. With a need for $2 million in outside capital to begin operations, the cofounders must set a value on the business in order to value equity shares and consider the implications o
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Saving Lives with Data Visualizations (B): Charts in the Tim...
Saving Lives with Data Visualizations (B): Charts in the Time of COVID-19
Collection: Darden School of BusinessThis is a companion case to “Saving Lives with Data Visualizations (A): Charts in the Time of Cholera,” which has students analyze the work of early data scientists as they confronted cholera outbreaks in 19th-century Europe. This B case has students assess the similarities and differences between the use of data visualizations in the 19th-century cholera outbreaks and the COVID-19 pandemic in the
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Advanced Tableau Tips and Tricks
Advanced Tableau Tips and Tricks
Collection: Darden School of BusinessThis technical note showcases some of the unique tips and tricks of the Tableau program that can help users further enhance the quality and impact of their presentations to target stakeholders. It assumes basic knowledge of Tableau and covers topics including pages, color schemes, advanced filtering, bubble charts, dashboards, calculated fields, and other Tableau features.
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The Basics of Multivariate Regressions in Excel
The Basics of Multivariate Regressions in Excel
Collection: Darden School of BusinessThis technical note provides a comprehensive guide to conducting multivariate linear regressions using Excel. It covers essential concepts such as setting up the regression model, selecting variables, and interpreting the results. Key outputs from Excel’s regression tool, including coefficients, standard errors, t-stats, p-values, and R-squared, are explained in detail. Additionally, the document
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Roqueta Origen: Streamlining Wine Storage and Mixing (B)
Roqueta Origen: Streamlining Wine Storage and Mixing (B)
Collection: Darden School of BusinessThis B case follows the A case “Roqueta Origen: Streamlining Wine Storage and Mixing (A)” (UVA-QA-0978). It resumes where the A case concluded and explores several different approaches for optimizing Roqueta Origen’s wine allocation. Each approach has limitations, prompting the consultant to consider alternate ways to solve the case problem. The case is published with supplemental data files featu
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Roqueta Origen: Streamlining Wine Storage and Mixing (C)
Roqueta Origen: Streamlining Wine Storage and Mixing (C)
Collection: Darden School of BusinessThis C case concludes the scenario introduced in the A case “Roqueta Origen: Streamlining Wine Storage and Mixing (A)” (UVA-QA-0978). The C case presents two final approaches to Roqueta Origen’s wine allocation dilemma. The final approaches reveal the solution to the optimization challenge and address the limitations of the approaches presented in the B case (UVA-QA-0979). The case is published wi
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Roqueta Origen: Streamlining Wine Storage and Mixing (A)
Roqueta Origen: Streamlining Wine Storage and Mixing (A)
Collection: Darden School of BusinessThis case examines an allocation problem at Roqueta Origen, a Spanish winery. A consultant must determine which batches of different wines to assign to tanks for maturation. As she considers which wines to allocate to different tanks, she must consider factors such as the wine quality, grape variety, vintage, and wine color. She aims to allocate the wines to achieve the highest possible wine quali
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Analytics at Spetses Shipping: Navigating the Waves of Uncer...
Analytics at Spetses Shipping: Navigating the Waves of Uncertainty
Collection: Darden School of BusinessIn this case, a shipping broker must decide where to relocate his tanker to find new cargo. The ship is currently based in the United Kingdom, and he can either send it to the Baltic or the Mediterranean seas. Due to the short time frames involved in tramp shipping, the broker does not know what cargo the ship will retrieve at its next destination, which creates considerable uncertainty about the
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