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South Africa had formally introduced a policy of inflation targeting (IT) in February 2000. By December 2001, the governor of the South African Reserve Bank, after reading the latest statistics, was concerned with the disappointing economic data. Economic activity had slowed drastically, to the point that the country appeared to be heading for a recession. The gloomy statistics forced the governor to consider whether the country had pursued the right policy. Persistently high unemployment, one legacy of the apartheid era, meant that South Africa did not have the luxury of waiting for new policies to bear fruit. With the inflation forecast to exceed the mandated target, the governor would have to tighten monetary policy, which would further restrict investment. Was it is time for South Africa to change course?

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?

To examine the benefits and risks of investment in analytical technology as a means for mining customer data for business insights. Students will develop a strategy position for Netflix's investment in technology and its digital media business. Students must also consider how new corporate partnerships and changes to the customer channel model will allow the company to prosper in the highly competitive digital space.

The case study is based on field research and also on secondary data. A primary survey is included in the case study. Simple frequency and factor analysis as statistical tools have been used.

Family businesses, like that of Kiran Rai’s, owning a local Mom and Pop store in an emerging city were faced with a serious problem of sustaining their businesses. These family businesses countered immense competition from: their own types, i.e. from other local Mom and Pop stores within the same cities; online stores; and the organised stores.The choice of the customers to buy goods from the neighbourhood shops has remained largely as an age-old tradition in the households. With the millennials and the Generation Z (Gen Z) exposed to an array of brands, can they become the first choice of young customers for shopping for all kinds of products and varieties? Can the local Mom and Pop stores spread their wings across the young generations, particularly the Millennials and Gen Z through inexpensive social media channels? What are their growth options? How can the social media serve this purpose? The case uses the social cognition theory and the use gratification theory to throw light on the new concept of Social Shopping.

The case is meant to be discussed in courses like Fundamentals of Marketing, Digital Marketing and Retail Marketing in a 90-min session in the Post Graduate as well as in the Working Executives’ Management programmes. The case analysis will expose the students to the use of social media and its benefits to the small businesses. The students will also be able to analyse and understand the different types of Online Consumers’ Shopping Personalities. This would enable them to strategize for different stages in the decision-making processes.

In May 2016, Sarita Digumarti, Chief Operating Officer of Jigsaw Academy in Bengaluru, India, faced a challenging situation. Jigsaw Academy provided online courses in data analytics and Big Data at the beginner, intermediate and advanced levels for students as well as working professionals. It was perceived that plenty of students from premier institutions in India had a high level of theoretical knowledge about the process involved in number crunching and data analysis; however, the hands-on experience on actual business problems or actual data sets was a major limitation with these students. Given the rapid growth of the analytics sector and the limited number of academic institutions offering analytics courses, there was a lack of availability of the right skills in the analytics market. Jigsaw Academy seized this opportunity and started offering relevant courses. All efforts were made to enhance the number of students enrolling for the courses, which in turn resulted in improving its customer base. Realizing the demand of industries for employees skilled in the analytics sector, Jigsaw Academy wanted to grow its brand equity and to achieve this through business to business (B2B) collaborations and/or alliances. However, expansion through B2B has its own challenges. Given the competitive landscape of analytics market, Jigsaw Academy was wondering whether they should opt for B2B channel, and if yes, the question was related to the process of choosing potential B2B partners.

The authors have collected the data from primary sources as well as secondary sources. Primary sources include field visits and audio-recorded interviews conducted with key departmental heads in the organization. Secondary sources include data retrieved from the company website and the relevant information available about the industry with the assistance of the internet. Except the founder’s name, all other names are disguised to protect the individual’s privacy as per instructions from the founders of Jigsaw Academy.

This case can be used at the graduate or MBA level in courses such as entrepreneurship, sales and distribution management, strategic alliances and mergers.

Madison Kryswada, director of alumni relationships at State University, assembled a 123-school data set to explore, in her words, “the drivers of alumni giving rate. ” The alumni giving rate contributed 5% to the increasingly important U.S. News & World Report rankings of U.S. colleges and universities. Wanting to understand the relationship between this variable and school characteristics, Kryswada gave her assistant a list of four well-formed questions to answer.