This case serves as a teaching tool to illustrate the application of data-driven decision-making approaches within the contexts of entrepreneurship and hospitality management. The following objectives also align with categories in Bloom’s taxonomy (keywords underlined).▪ Evaluate the merits and demerits of potential business decisions through a data-driven analytical framework. This objective maps to discussion Question 3, 4, 5.▪ Evaluate the relevance and usability of available data and market research reports for effective data-driven decision-making. This objective maps to discussion Question 2.▪ Analyze business data and financial reports to evaluate business strategies such as marketing, vendor management and workforce management strategies. This objective maps to discussion Question 1.▪ Apply industry-specific business metrics such as the Menu engineering matrix to analyze the performance of menu offerings. This objective maps to discussion Question 5.
The decision-based case explores the challenges faced by Siddhartha Das, the founder of FoodWise Pvt Ltd, a multi-cuisine restaurant based out of Kolkata, India. Das initially launched an online Bengali meal delivery service in 2017, which successfully expanded into an offline multi-cuisine retail outlet by October 2019. However, the COVID-19 pandemic dealt a significant blow to his business, preventing it from achieving profitability. The case is set in July 2021, where Das reviews his half-yearly performance report recognizing the imminent risks threatening his food venture unless immediate changes are undertaken. The multi-cuisine nature of his restaurant business necessitated higher expenditures on specialty chefs and costly vendors to maintain premium food quality. Faced with a dilemma, Das must decide whether to continue with the current multi-cuisine model and find ways to manage costs or to evaluate the performance of his six cuisines and consider switching his venture to a specialized cuisine restaurant. The case invites students to assist Das in making a data-driven strategic decision by using Menu Engineering and exploratory data analysis techniques.
This case study is designed for master’s level students in business management, with specializations in marketing, strategy or business analytics, as well as for students in specialized management programs in hospitality or entrepreneurship. It can also be included in management development programs on data-driven decision-making. It is particularly well-suited for management elective courses on hospitality management or entrepreneurship. The case can be positioned in the second half of the course, once students have been exposed to financial reporting and data analysis techniques. Topics such as menu engineering and data-driven decision-making can be effectively explored through this case.
Teaching notes are available for educators only.
CSS 12: Tourism and Hospitality.
