Case studies

James, a financial advisor at Bank Private, is advising a high net worth client with $1 million to invest. Bank Private can offer an investment that returns a fixed rate of 5.5% (compounded annually) for twenty years. James needs to prepare financial projections for the client that include annual interest and annual taxes as well as total interest and total taxes.

The case traces the development of the Under Armour (UA) brand, product, and market growth under CEO and founder Kevin Plank from its inception in 1996 through 2016. UA provides a cohesive case study of how to launch and sustain a consumer brand even in the face of its third-party manufacturing approach, which gives its apparel no patentable design or fabric technologies. The case uses UA's brand and advertising development as a backdrop for the current pivotal issue of how to target women to sustain growth. UA's stated goal is to build a $1.9 billion women's business by 2019.

In laying out UA's growth and competitive moves, the case lets students analyze broadcast, social media, and other digital advertising campaigns in view of the company's brand development and strategic targeting. The case also highlights the importance of leveraging brand heritage and historical differentiation while respecting key nuances when extending into new markets (i.e., moving from a predominantly male-driven audience to female). It also allows an exploration of how to use consumer insight and broader cultural attitudes and trends to support extending a position into new markets.

In 2010, Salil Pande founded VMock, an online product that helped MBA students prepare for job interviews. Students could upload their video interviews and get feedback from mentors and peers. Four years later, VMock pivoted from an interview feedback product to a “Smart Resume” product that focused on improving resumes. The pivot was based on the insight that job candidates first needed help fixing their resumes before they could obtain and prepare for interviews. Further, the interview feedback product was difficult to scale as it relied on human feedback. The Smart Resume product, on the other hand, was powered by machine learning and artificial intelligence technology, making it more scalable and allowing VMock to evolve its offering from a product to a platform for managing careers. VMock had forged strong relationships with top business schools in the United States and Europe and its Smart Resume platform had been well received by the market.

Now Salil and his wife (and head of product development), Kiran, had to determine the next step in the company's evolution. They realized that the time had come to take their business to the next level. But they were faced with several options on how to go about scaling VMock. Should they market directly to consumers or should they use partners to scale their user base? Should they create a solution for employers to help them recruit and manage talent? What revenue streams should they focus on to maximize growth and profitability? These strategic decisions would be key to the survival and growth of VMock.

In mid-2012, after successful years in large public companies and obtaining an MBA, middle daughter Jen, 32, is trying to decide whether the time is right for her to enter her mother and sister's small family business to grow it further. Destira, Inc. was a designer/manufacturer of gymnastics wear for girls, headquartered in California. Donna Levy founded the company in 1990, after years of making leotards for her three daughters, who were competitive youth gymnasts, and getting requests from other parents to make the garments for their own children. In 2005, when Donna's oldest daughter, Jodi, joined Destira, Donna gave her a 50 percent equity stake. Between then and year-end 2011, the pair grew the revenues from $550,000 to $1.06 million, increased the number of outlets carrying the brand, upgraded the internal accounting/operations software, and added an online direct-to-customer retail business. The case shows realistic considerations for the individual, family, and business when evaluating whether or not to commit to join the family enterprise.

In the fall of 2014, Chad Kartchner, senior manager of marketing and product management at Honeywell Aerospace (HA), pondered how technology could transform the way aircraft were maintained. He had heard a lot of buzz about cognitive analytics, an artificial intelligence term referring to the use of computer models and algorithms to simulate human thought through self-learning systems, data mining, pattern recognition, and natural language processing. The sheer volume of parts and the time-sensitive nature of repairs in the aviation industry made it complicated to identify problems and address them quickly.

Kartchner contemplated the options for updating HA's ground-based maintenance system. Should he emulate HA's state-of-the-art on-board system for an entire aircraft or try something new? Emulating the on-board system, which HA developed internally, would be an easy sell to leadership given internal buy-in and satisfaction with the on-board system, but he contemplated new approaches because he did not want to overlook rapidly emerging technologies. The latter could include crowdsourced features that leveraged the abundance of knowledge among HA's customers' technicians or a cognitive analytics approach. Even if he could persuade leadership to try a new cognitive analytics approach, should HA partner with an established entity or work with a relatively unproven startup who promised lower cost, better features, and quicker turnaround to develop a new system?

Students will step into the shoes of Kartchner as he leads the internal discussion on whether and how to tap into the benefits of cognitive analytic solutions for Honeywell Aerospace and its customers.

Three months into his first job as an IT consultant, newly minted MBA Phil Lee was wondering whether he had made a horrible mistake. Initially, he had been thrilled with his employer, Orion Information Technology Consulting, and the prospects for his professional future. He had specifically requested to work on projects in emerging markets, and his bosses had responded by flying him halfway around the world to New Delhi to meet with the head of procurement of a luxury property developer, Kirat Housing Development Society (KHDS). Lee thought the reason for the meeting was slightly unusual: Orion was planning to make a bid to supply building management software for KHDS's newest luxury tower, and this meeting would be the “pre-bid” negotiation. Lee wasn't totally sure what they'd even be discussing, as the tender already provided full details on exactly what modules would be required and even included specific penalty clauses for delays.

The meeting at KHDS seemed ordinary at first, but quickly took a turn when the assistant to the head of procurement explained that Orion would win the bid if it offered him a $200,000 contract as an “independent consultant.” Lee was stunned. To make matters worse, when he returned to his hotel room he found a gift waiting for him: an expensive-looking diamond pendant.

On his sleepless flight home, Lee's mind raced. Had his bosses known this would happen? Were bribes standard operating procedure? Now that he'd accepted a gift, was he complicit in wrongdoing? Lee didn't want to get fired, but he wasn't sure he could go along with this.

Markus Steuer, director of real estate at Drechtal Pharmaceuticals, must decide where his firm should locate in the immediate future. Drechtal was currently leasing space in seven different buildings, yet the company anticipated a dramatic increase in headcount should its first oncology drug, Trianoline, be approved by Swissmedic. The potential increased demand for space initiated Steuer's investigation of whether it was optimal to continue to lease space or whether or not it should invest in its own corporate headquarters. With its current leases set to expire over the coming 24 months, it was an opportune time to consider Drechtal's options.

In this case, students step into the shoes of a brand manager at UK-based online peer-to-peer lending company Zopa as she decides whether or not to recommend that the company undertake a brand redesign. Students are provided a brand design worksheet to help them understand the component parts of brand strategy and brand design and to help structure their assessment of Zopa's current brand. They are then challenged to consider if, to what extent, and how Zopa's brand design should change as a function of the company's brand strategy. Finally, they will learn a set of best practices, or guidelines, for approaching brand redesigns.

This case, along with its B case (UVA-QA-0865), is an effective vehicle for introducing students to the use of machine-learning techniques for classification. The specific context is predicting customer retention based on a wide range of customer attributes/features. The specific techniques could include (but are not limited to): regressions (linear and logistic), variable selection (forward/backward and stepwise), regularizations (e.g., LASSO), classification and regression trees (CART), random forests, graduate boosted trees (xgboost), neural networks, and support vector machines (SVM).

The case is suitable for an advanced data analysis (data science, machine learning, and artificial intelligence) class at all levels: upper-level business undergraduate, MBA, EMBA, as well as specialized graduate or undergraduate programs in analytics (e.g., masters of science in business analytics [MSBA] and masters of management analytics [MMA]) and/or in management (e.g., masters of science in management [MScM] and masters in management [MiM, MM]).

The teaching note for the case contains the pedagogy and the analyses, alongside the detailed explanations of the various techniques and their implementations in R (code provided in Exhibits and supplementary files). Python code, as well as the spreadsheet implementation in XLMiner, are available upon request.

Uber China is a strategy pricing case that examines the role of customer acquisition tactics and brand positioning in entering the tantalizingly large Chinese market. The case adopts the perspective of an outside observer looking at Uber's efforts to compete in China from its entry in 2013 to its exit through its acquisition by Didi Chuxing, the highly dominant industry leader in China's ride-sharing market. After laying out the market opportunity, consumer and competitive landscape, and the various acquisition-related moves of Uber and the other major players, the case asks students to conduct a postmortem on Uber's failure in China. Specifically, they must consider what drew Uber to the opportunity in China and what it might have done differently in terms of positioning and customer acquisition to compete more effectively. First and foremost a pricing-related discussion, the case illustrates the relationship between pricing and acquisition tactics and brand positioning and the use of both in market entry and penetration.