Publications

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January 2025
Case

Negotiating with Data: Analytics FC (A)

By: Jillian Jordan and Livia Alfonsi

Analytics FC was a UK-based sports consultancy that focused on international football (soccer), leveraging cutting-edge data-analytic techniques to support clubs, federations, and players. In 2022, Alex Greenwood, an elite female defender, approached the company for... View Details

Keywords: Negotiation; Negotiation Preparation; Gender; Analytics and Data Science; Sports; Reputation; Value Creation; Consulting Industry; Sports Industry; Europe; United Kingdom

January 2025
Supplement

Negotiating with Data: Analytics FC (B)

By: Jillian Jordan and Livia Alfonsi

Analytics FC was a UK-based sports consultancy that focused on international football (soccer), leveraging cutting-edge data-analytic techniques to support clubs, federations, and players. In 2022, Alex Greenwood, an elite female defender, approached the company for... View Details

Keywords: Negotiation Preparation; Gender; Analytics and Data Science; Reputation; Value Creation; Consulting Industry; Sports Industry; Europe; United Kingdom

January 2025
Case

Untapped Global: Financing Africa's Missing Middle

By: Raymond Kluender and Emanuele Colonnelli

In November 2024, Jim Chu, founder and CEO of Untapped Global, faced mounting internal tensions over the company’s strategic direction. Untapped had developed a data-driven revenue-based financing (RBF) model to address the “missing middle” problem—the $5.2 trillion... View Details

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

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

Keywords: Information; Analytics and Data Science; Analysis; Decision Making

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May 2024
Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney

This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details

Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe

March 2024 (Revised January 2025)
Case

Hippo: Weathering the Storm of the Home Insurance Crisis

By: Lauren Cohen, Grace Headinger and Sophia Pan

Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically... View Details

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

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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

Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States

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

January 2024 (Revised February 2024)
Course Overview Note

Managing Customers for Growth: Course Overview for Students

By: Eva Ascarza

Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details

Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Technology Industry; Technology Industry; Technology Industry; Technology Industry; Technology Industry

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

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

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

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

June 2023
Simulation

Artea Dashboard and Targeting Policy Evaluation

By: Ayelet Israeli and Eva Ascarza

Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details

May–June 2023
Article

Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut

By: Fabrizio Fantini and Das Narayandas

Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are... View Details

Keywords: Analytics and Data Science; Decision Making

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April 2023
Technical Note

An Art & A Science: How to Apply Design Thinking to Data Science Challenges

By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li

We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details

Keywords: Decision Making; Framework; Analytics and Data Science

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