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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.

ThinkAlike, a fictitious marketing consulting firm, was asked by TiVo to segment the market for its new digital video recorder (DVR) product. Students are asked to analyze realistic data and generate segments that will be useful for TiVo s marketing strategy.

Upon completion of this case study, students should be able to apply lessons learned in core readings, analysis and discussion to a specific case study dealing with a current, real-world situation, specifically: critically assess Livestock Wealth’s case facts and present and justify their point of view – based on attentive reading, critical analysis and engagement – about the company; use a range of strategic tools such as strengths, weaknesses, opportunities and threats analysis, PESTLE analysis and the Ansoff matrix to thoroughly evaluate Livestock Wealth’s internal and external business environment for developing strategic options for business growth and improvements to marketing strategy; use strategic thinking to develop a range of creative solutions to guide the company’s business growth and improvements to marketing strategy; and assess their own growth and development in terms of personal preparation and organisation, collaboration, critical thinking, decision-making skills, participation and problem-solving.

By February 2022, Ntuthuko Shezi, the founder and chief executive officer of Livestock Wealth, had turned his idea of “crowd farming”, which enables anyone to invest in living farm assets and earn a profit at harvest, into a full-fledged business that was creating wealth for both investors and farmers. Underpinning this case study is Shezi’s vision of an African continent where there is “no ground that is not planted with something of value”, local economies are created in those areas, communities are wealthy, there is abundance, there is money for children to attend school and ultimately where “cows (and agricultural produce in general) are seen as money”. Shezi had grown up in a rural area with grandparents who owned a couple of cows, realizing that the cows were the bedrock of the family’s finances. Describing his business, he says, “Cattle are like a walking bank, and we see ourselves as the bank of the future, where every person who owns a cow can access financial services through Livestock Wealth, just like it has always been in Africa.” This case study describes the two key decisions that Shezi needed to make – what direction to take in terms of business growth and how to improve his marketing strategy (with a limited budget) to attract sufficient investment into Livestock Wealth to make his dreams a reality.

This case study is suitable for use for a post-graduate diploma in business, master of business administration or master’s in management.

Teaching notes are available for educators only.

CSS 11: Strategy.

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.

After a successful transition from a projects-based IT business services company to a platform-driven analytics company, Saama's core leadership team gathered in 2017 to brainstorm the next phase of its growth. The year before, the team had decided to narrow its target market to the life sciences vertical. Saama now had to decide how to execute on this focused strategy by choosing a growth pathway within the life sciences vertical. Saama's leadership team was considering three alternatives: acquiring new customer accounts, developing existing customer accounts, or developing new products by harnessing artificial intelligence (AI) and blockchain technologies. The team had to evaluate these growth pathways in terms of both short- and long-term revenue potential, as well as their potential for sustaining Saama's competitive advantage.

The case provides a great illustration of women leadership in crisis times. A failed merger forced a deep review of the firm strategy and a realization that the legacy leadership arrangement was not optimal anymore. The hustand-and-wife team ended up swapping executive positions, with Charlotte resolutely taking on the CEO position.

The case is designed as an integrative case looking simultaneously at key subjects such as leadership, entrepreneurship and management of a fast growing service firm, strategy as applied to IT consulting and finally gender studies, with the possibility to discuss the impact of gender roles.

The case investigates Charlotte's efforts at building an original Search Engine Optimization firm in Seattle, progressively taking control from her husband to save the firm from bad strategic decisions.

The case is written to convey the emotional rollercoaster lived by Charlotte and key decisions she had to make as the leader of this fast growing data analytics firm. Learning outcomes focus on what is expected of a leader in such situation, in particular a female leader in a male-dominated technology environment.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Consulting in general, and data analytics consulting in particular, are male-dominated worlds where a female leader faces many obstacles to realize their potential. Charlotte provides a masterful example of how to contribute to and lead a fast-growing firm and manage the family and the relationship to a partner who also happens to be the co-founder of the firm.

CSS 3: Entrepreneurship

Four years into a five-year contract with General Motors to be the exclusive website vendor to its U.S. network of more than 4,000 dealers, CDK Digital faced a crucial contract renewal at the end of 2012. The case follows Melissa McCann, director of strategic marketing, and Chris Reed, CMO, as they prepared for a critical meeting in July 2011: a presentation to the customer relationship management (CRM) subcommittee of the Chevrolet dealer council. Although GM dealers, like all auto dealers in the United States, were independent franchisees, GM saw the renewal of CDK Digital's exclusive contract as a collaborative decision between dealers and GM. According to Ed Vogt, GM's executive in charge of the renewal, if the dealer councils said no, the contract would not be renewed.

This case challenges students to use CDK's big data and analytics capabilities to address the inherent conflict between dealers and manufacturers: when marketing to potential customers, manufacturers wanted consistency across dealer websites to maximize sales of their targeted brands, while dealers wanted flexibility to sell what they had in inventory.

After analyzing the case, students will be able to:

• Demonstrate how big data and analytics can be used to solve channel conflict

• Explain how franchisors and franchisees have different perspectives on the value of data on retail operations

• Recognize benefits of big data and analytics beyond the obvious potential improvements to marketing and operational effectiveness

• Articulate the value of data analytics for channel management

• Appraise the benefits of real-time website customization

Demonstrate how big data and analytics can be used to solve channel conflict

Explain how franchisors and franchisees have different perspectives on the value of data on retail operations

Recognize benefits of big data and analytics beyond the obvious potential improvements to marketing and operational effectiveness

Articulate the value of data analytics for channel management

Appraise the benefits of real-time website customization

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.

Marketing.

The courses in which this case can be used include e-business, e-commerce, digital marketing, retailing and marketing strategy. This case can be used to teach MBA students. This case is also having the equal relevance for the executive programmes.

AaramShop is digitizing the Grocery General Trade ecosystem. There are of millions of neighbourhood kirana stores spread across all the cities of India. AaramShop is bringing these neighbourhood kirana stores online, and making them not only e-commerce-ready but also capable of using technology to take their stores to the next level in terms of service and delivery. The case lists out the issues and challenges faced by AaramShop.

This case challenges the participants to understand the new business model in the e-commerce space. The participants can look at the different angles of the business model proposition, namely, how AaramShop approach delivers on the retailer proposition, consumer proposition and the brands proposition. The participants can also be sensitized about the obstacles in making the business model more successful. These obstacles can be posed by the retailers, consumers or brands. The case will lead to a discussion about the logistics model opportunity available to Aaramshop.com.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 8: Marketing

After completion of the case study, students will be able to critically appraise the strategic growth opportunities of an “eating out” industry brand; evaluate the role of customer relationship and retention management in sustaining a brand; and analyse the importance of developing core competencies for long-term business viability.

Since its inception in 2017, Urban Chowk was one of the pioneer places that successfully managed to create a hospitality format called “food and lifestyle park” which combined multiple food brands with good ambience and entertainment, all under the same roof. Although Urban Chowk was one of the popular brands in the given format, its USP was not difficult to challenge or copy. The owner, Mr Kartikey Rajput, anticipated a deluge of similar establishments in the near future. Urban Chowk led the pack in terms of footfalls compared to similar establishments, with Rajput looking to expand his brand beyond Ahmedabad. The case took 2022 as the timeline and brought forth the challenge that Urban Chowk faced. The primary challenge was retaining the existing customer base along with adding newer ones. Second, with the industry being extremely dynamic, it was important to determine how marketing analytics could be used to collect customer data and convert them into repeat customers, thus building a loyal customer base.

This case is applicable for teaching at undergraduate and graduate levels for understanding the concepts of brand development and strategic growth as well as creating and maintaining customer relationships, also helping the students in assimilating these concepts as a part of brand building.

Teaching notes are available for educators only.

CSS 11: Strategy.