The case details the strategic decisions that SK Planet, a leader in web and mobile services in its home country of Korea, needed to make regarding the best way to carry out an aggressive global expansion-most importantly into the United States. The $1 billion company had a war chest of $600 million in cash, which allowed company leadership to consider three strategic options for evaluation: 1) Port or rebrand SK Planet's top-ranked Korean services to the U.S. A challenge with this option was that these platforms were developed largely for the Korean market and might not translate to U.S. audiences. Also, many of these services would face entrenched, direct competition within the U.S.; 2) Develop or expand organically, by way of chartering new SK Planet divisions under experienced Korean or American executives. The downside was that this would involve delays in getting new divisions off the ground, and the company needed to invest significant time and energy in researching the U.S. market; 3) Follow a Merger & Acquisitions strategy using its $600 million in cash. However, this would involve a high degree of risk, and if not managed carefully, mergers could lead to culture clashes between U.S. and Korean executives. Whichever option it chose, SK Planet set a three-year goal for its expansion efforts. While nominally short, the company saw this as the critical time frame before the smartphone ecosystem in the U.S. reached maturation and the incumbents fortified their market positions.

Israeli entrepreneur and inventor Dov Moran envisioned the creation of a mobile device that was a small, stand-alone, fully functional mobile phone that could be slipped into a variety of enclosures, or "jackets," that would provide added functionality and better reflect the personalities of its users. As the development of the Modu phone began to take shape, Moran and his team decided that to ensure the success of the new phone's much anticipated launch, Modu would develop and market the accessory jackets itself. The question now was which of the eight jackets to develop and what factors should be considered in making that decision. The case is about how to estimate optimal product-line extensions after accounting for experience curve and cannibalization effects of products that share similar features, cost, and price. This will require quantitative analysis that estimates the effect of the experience curve and cannibalization on cost, revenues, and ultimately profit. The issue is how to optimize profits by choosing an ideal set of products.

By 2009 Netflix had all but trounced its traditional bricks-and-mortar competitors in the video rental industry. Since its founding in the late 1990s, the company had changed the face of the industry and threatened the existence of such entrenched giants as Blockbuster, in large part because of its easy-to-understand subscription model, policy of no late fees, and use of analytics to leverage customer data to provide a superior customer experience and grow its e-commerce media platform. Netflix's investment in data collection, IT systems, and advanced analytics such as proprietary data mining techniques and algorithms for customer and product matching played a crucial role in both its strategy and success. However, the explosive growth of the digital media market presents a serious challenge for Netflix's business going forward. How will its analytics, customer data, and customer interaction models play a role in the future of the digital media space? Will it be able to stand up to competition from more seasoned players in the digital market, such as Amazon and Apple? What position must Netflix take in order to successfully compete in this digital arena?