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- August 2017
- Case
Data-driven Manufacturing: The Kutesmart System
By: Willy Shih and Nancy Hua Dai
The data-driven manufacturing system at this Chinese bespoke mens' suit manufacturer illustrates the use of information technology to support mass customization in a largely manual production environment. It contrasts sharply with some of the Industrie 4.0... View Details
Keywords: Manufacturing; Garment Manufacturing; Mass Customization; Data-driven Management; Data-driven Manufacturing; Operations; Production; Product; Customization and Personalization; Apparel and Accessories Industry; Manufacturing Industry; China
Shih, Willy, and Nancy Hua Dai. "Data-driven Manufacturing: The Kutesmart System." Harvard Business School Case 618-005, August 2017.
- 2025
- Working Paper
Data-driven Technologies and Local Information Advantages in Small Business Lending
By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans
Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; ＂Marketing Analytics＂; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the... View Details
Keywords: Pricing; Pricing Algorithms; Dynamic Pricing; Ecommerce; Pricing Strategy; Pricing And Revenue Management; Apparel; Singapore; Startup; Demand Estimation; Data Analysis; Data Analytics; Exercise; Price; Internet and the Web; Apparel and Accessories Industry; Retail Industry; Fashion Industry; Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- February 2014
- Case
BGI: Data-driven Research
By: Willy Shih and Sen Chai
BGI has the largest installed gene-sequencing capacity in the world, and to Zhang Gengyun, general manager of the Life Sciences Division, this represented an opportunity to apply his training as a plant breeder and his early career work as a biochemist to improving... View Details
Keywords: Genomics; Gene Sequencing; Life Sciences; Plant Breeding; Human Genome Program; Beijing Genomics Institute; BGI; Rice Genome; Technological Innovation; Innovation Strategy; Research; Research and Development; Science; Genetics; Science-Based Business; Strategy; Commercialization; Corporate Strategy; Information Technology; Applications and Software; Agriculture and Agribusiness Industry; Biotechnology Industry; Food and Beverage Industry; China; United States
Shih, Willy, and Sen Chai. "BGI: Data-driven Research." Harvard Business School Case 614-056, February 2014.
- April 2022
- Teaching Note
Banorte Móvil: Data-Driven Mobile Growth
By: Ayelet Israeli and Carla Larangeira
In mid-2019, Carlos Hank was deliberating over the results for Banorte Móvil—the mobile application for Banorte, Mexico’s most profitable and second-largest financial institution. Hank, who had been appointed as Banorte´s Chairman of the Board in January 2015, had... View Details
- January 2020
- Case
Banorte Móvil: Data-Driven Mobile Growth
By: Ayelet Israeli, Carla Larangeira and Mariana Cal
In mid-2019, Carlos Hank was deliberating over the results for Banorte Móvil—the mobile application for Banorte, Mexico’s most profitable and second-largest financial institution. Hank, who had been appointed as Banorte´s Chairman of the Board in January 2015, had... View Details
Keywords: Data Analytics; Customer Lifetime Value; Financial Institutions; Mobile and Wireless Technology; Growth and Development Strategy; Customers; Technology Adoption; Communication Strategy; Banking Industry; Mexico; Latin America
Israeli, Ayelet, Carla Larangeira, and Mariana Cal. "Banorte Móvil: Data-Driven Mobile Growth." Harvard Business School Case 520-068, January 2020.
- August 2023 (Revised March 2024)
- Case
Arla Foods: Data-Driven Decarbonization (A)
By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal
The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details
Keywords: Dairy Industry; Business Earnings; Agribusiness; Animal-Based Agribusiness; Acquisition; Mergers and Acquisitions; Decision Making; Decisions; Voting; Environmental Management; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Global Strategy; Ownership Type; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercialization; Cooperation; Corporate Strategy; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (A)." Harvard Business School Case 624-003, August 2023. (Revised March 2024.)
- August 2023 (Revised January 2024)
- Supplement
Arla Foods: Data-Driven Decarbonization (B)
By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal
The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details
Keywords: Dairy Industry; Earnings Management; Environmental Accounting; Animal-Based Agribusiness; Mergers and Acquisitions; Decisions; Voting; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Cross-Cultural and Cross-Border Issues; Global Strategy; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercial Banking; Cooperation; Corporate Strategy; Motivation and Incentives; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Denmark; Sweden; Luxembourg; Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (B)." Harvard Business School Supplement 624-036, August 2023. (Revised January 2024.)
- August 2023 (Revised January 2024)
- Supplement
Arla Foods: Data-Driven Decarbonization (A)
By: Michael Parzen, Michael W. Toffel, Amram Migdal and Susan Pinckney
Arla implemented a data-based price incentive system to measure, track, and influence climate friendly changes to reduce CO2 emissions across the world’s fourth largest dairy cooperative. View Details
Keywords: Dairy Industry; Business Earnings; Earnings Management; Environmental Accounting; Agribusiness; Animal-Based Agribusiness; Acquisition; Mergers and Acquisitions; Decision Making; Decisions; Voting; Environmental Management; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Global Strategy; Ownership Type; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercialization; Cooperation; Corporate Strategy; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium
- January 2024 (Revised February 2024)
- Case
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- April 2023
- Case
Fizzy Fusion: When Data-Driven Decision Making Failed
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- February 2024
- Teaching Note
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details
- 2020
- Book
The Power of Experiments: Decision-Making in a Data-Driven World
By: Michael Luca and Max H. Bazerman
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques
Luca, Michael, and Max H. Bazerman. The Power of Experiments: Decision-Making in a Data-Driven World. Cambridge, MA: MIT Press, 2020.
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Technology Industry; Technology Industry; Technology Industry
Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
- January 2025
- Case
AI Meets VC: The Data-Driven Revolution at Quantum Light Capital
By: Lauren Cohen, Grace Headinger and Sophia Pan
Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.