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    • All HBS Web  (1,614)
      • Faculty Publications  (391)

      Data Science And Analytics Management Remove Data Science And Analytics Management →

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      • 2023
      • Working Paper

      Large Shocks Travel Fast

      By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
      We leverage the inflation upswing of 2022 and various granular datasets to identify robust price-setting patterns following a large supply shock. We show that the frequency of price changes increases dramatically after a large shock. We set up a parsimonious New...  View Details
      Keywords: Macroeconomics; Analytics and Data Science; Inflation and Deflation; Cost; Mathematical Methods
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      Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Large Shocks Travel Fast." NBER Working Paper Series, No. 31659, September 2023.
      • August 2023
      • 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 systems 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; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium
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      Parzen, Michael, Michael W. Toffel, Amram Migdal, and Susan Pinckney. "Arla Foods: Data-Driven Decarbonization (A)." Harvard Business School Spreadsheet Supplement 624-031, August 2023.
      • August 2023
      • Case

      Arla Foods: Data-Driven Decarbonization (A)

      By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal
      Arla implemented a data based price incentive systems 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; 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; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium
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      Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (A)." Harvard Business School Case 624-003, August 2023.
      • August 2023
      • Case

      Beamery: Using Skills and AI to Modernize HR

      By: Boris Groysberg, Alexis Lefort, Susan Pinckney and Carolina Bartunek
      Unicorn human relationships startup Beamery evaluates it growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management industry  View Details
      Keywords: Acquisition; Business Growth and Maturation; Business Startups; Competency and Skills; Experience and Expertise; Talent and Talent Management; Customers; Nationality; Learning; Entrepreneurship; Corporate Entrepreneurship; Social Entrepreneurship; Human Resources; Employee Relationship Management; Recruitment; Retention; Selection and Staffing; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Applications and Software; Disruptive Innovation; Technological Innovation; Job Offer; Job Search; Job Design and Levels; Employment; Human Capital; Europe; United Kingdom; United States
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      Groysberg, Boris, Alexis Lefort, Susan Pinckney, and Carolina Bartunek. "Beamery: Using Skills and AI to Modernize HR." Harvard Business School Case 424-004, August 2023.
      • July 2023
      • Case

      Vytal: Packaging-as-a-Service

      By: George Serafeim, Michael W. Toffel, Lena Duchene and Daniela Beyersdorfer
      The Germany-based startup Vytal operated the largest digital-native reusable packaging-as-a-service network globally, having raised nearly €15 million, established a large network of restaurant partners, and prevented the use of millions of single-use take-out food...  View Details
      Keywords: Climate Change; Climate Risk; Digital; Platform Strategies; Data; Packaging; Sustainability; Start-up; Startup; Entrepreneurship; Entrepreneur; Impact; Circular; Growth Strategy; Innovation; Environmental Sustainability; Innovation and Invention; Business Growth and Maturation; Growth and Development Strategy; Business Startups; Resource Allocation; Risk Management; Adoption; Strategy; Performance Productivity; Service Delivery; Service Operations; Supply Chain; Distribution; Green Technology Industry; Service Industry; Retail Industry; Germany; Europe
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      Serafeim, George, Michael W. Toffel, Lena Duchene, and Daniela Beyersdorfer. "Vytal: Packaging-as-a-Service." Harvard Business School Case 124-007, July 2023.
      • July 2023
      • Article

      So, Who Likes You? Evidence from a Randomized Field Experiment

      By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
      With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by...  View Details
      Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
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      Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
      • July 2023
      • Article

      Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

      By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
      In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still...  View Details
      Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science
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      Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
      • 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
      Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • 2023
      • Working Paper

      Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

      By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
      Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to...  View Details
      Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • 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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      Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
      • June 2020
      • Article

      Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

      By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
      By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to...  View Details
      Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
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      Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
      • 2023
      • Article

      Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

      By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
      Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...  View Details
      Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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      Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
      • 2023
      • Working Paper

      Cost-Efficient Decarbonization of Portland Cement Production

      By: Gunther Glenk, Anton Kelnhofer, Rebecca Meier and Stefan Reichelstein
      Accounting for nearly 8% of global annual carbon dioxide (CO2) emissions, the cement industry is considered difficult to decarbonize. While a sizeable number of abatement levers for Portland cement production is becoming technologically ready for deployment, many are...  View Details
      Keywords: Decarbonization; Carbon Abatement; Carbon Accounting; Carbon Emissions; Carbon Regulation; Carbon Tax; Net-zero Emissions; Management; Environmental Management; Sustainable Cities; Accounting; Management Analysis, Tools, and Techniques; Environmental Accounting; Energy; Environmental Sustainability; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Pulp and Paper Industry; Europe; North America; South America; Africa; Asia
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      Glenk, Gunther, Anton Kelnhofer, Rebecca Meier, and Stefan Reichelstein. "Cost-Efficient Decarbonization of Portland Cement Production." Harvard Business School Working Paper. (TRR 266 Accounting for Transparency Working Paper Series, No. 120, May 2023.)
      • 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
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      Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
      • 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
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      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.
      • March 2023
      • Supplement

      Allianz Türkiye (B): Adapting to a Changing World

      By: John D. Macomber and Fares Khrais
      Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
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      Macomber, John D., and Fares Khrais. "Allianz Türkiye (B): Adapting to a Changing World." Harvard Business School Supplement 223-076, March 2023.
      • March 2023
      • Supplement

      Allianz Türkiye (C): Managing the 2017 Hail Storm

      By: John D. Macomber and Fares Khrais
      Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe...  View Details
      Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
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      Macomber, John D., and Fares Khrais. "Allianz Türkiye (C): Managing the 2017 Hail Storm." Harvard Business School Supplement 223-084, March 2023.
      • March 2023
      • Case

      Allianz Türkiye: Adapting to Climate Change

      By: John D. Macomber and Fares Khrais
      Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe...  View Details
      Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
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      Macomber, John D., and Fares Khrais. "Allianz Türkiye: Adapting to Climate Change." Harvard Business School Case 223-074, March 2023.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...  View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • January–February 2023
      • Article

      Forecasting COVID-19 and Analyzing the Effect of Government Interventions

      By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
      We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more...  View Details
      Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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      Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
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