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  • All HBS Web  (7,125)
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  • All HBS Web  (7,125)
    • News  (1,271)
    • Research  (4,399)
    • Events  (116)
    • Multimedia  (73)
  • Faculty Publications  (3,068)
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  • July 1987
  • Case

Frito-Lay, Inc.: The New Data Center

By: James I. Cash Jr.
Keywords: Information Technology; Food and Beverage Industry
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Cash, James I., Jr. "Frito-Lay, Inc.: The New Data Center." Harvard Business School Case 188-018, July 1987.
  • November 1998
  • Article

Modeling Large Data Sets in Marketing

By: Sridhar Balasubramanian, Sunil Gupta, Wagner Kamakura and Michel Wedel
Keywords: Analytics and Data Science; Marketing
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Balasubramanian, Sridhar, Sunil Gupta, Wagner Kamakura, and Michel Wedel. "Modeling Large Data Sets in Marketing." Special Issue on Large Data Sets in Business Economics. Statistica Neerlandica 52, no. 3 (November 1998).
  • 2021
  • Working Paper

Corporate Environmental Impact: Measurement, Data and Information

By: David Freiberg, DG Park, George Serafeim and T. Robert Zochowski
As an organization’s environmental impact has become a central societal consideration, thereby affecting industry and organizational competitiveness, interest in measuring and analyzing environmental impact has increased. We develop a methodology to derive comparable... View Details
Keywords: Environment; Impact; Measurement; Environmental Ratings; Corporate Valuation; Financial Materiality; Sustainability; Environmental Impact; Environmental Strategy; Impact-Weighted Accounts; IWAI; Environmental Sustainability; Corporate Social Responsibility and Impact; Measurement and Metrics; Valuation
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Freiberg, David, DG Park, George Serafeim, and T. Robert Zochowski. "Corporate Environmental Impact: Measurement, Data and Information." Harvard Business School Working Paper, No. 20-098, March 2020. (Revised February 2021.)
  • March–April 1979
  • Article

Managing the Crises in Data Processing

By: R. L. Nolan
Keywords: Management; Data and Data Sets
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Nolan, R. L. "Managing the Crises in Data Processing." Harvard Business Review 57, no. 2 (March–April 1979).
  • April 1991 (Revised May 2017)
  • Teaching Note

Automatic Data Processing: The EFS Decision

By: Robert Simons
Teaching Note for (9-190-059). View Details
Keywords: Strategy And Execution; Management Control Systems; Boundary Systems; Information Technology; Decision Making
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Simons, Robert. "Automatic Data Processing: The EFS Decision." Harvard Business School Teaching Note 191-170, April 1991. (Revised May 2017.)
  • November 1989 (Revised November 1999)
  • Case

Automatic Data Processing: The EFS Decision

By: Robert L. Simons and Hilary Weston
Illustrates how ADP's top management uses formal planning and control systems to establish strategic boundaries for its business units. Top management has developed a detailed list of strategic criteria that ADP managers use to evaluate products and business units, as... View Details
Keywords: Business Units; Strategic Planning; Management Systems; Accounting; Acquisition
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Simons, Robert L., and Hilary Weston. "Automatic Data Processing: The EFS Decision." Harvard Business School Case 190-059, November 1989. (Revised November 1999.)
  • March 1987 (Revised June 1987)
  • Case

Automatic Data Processing, Inc.: Computer Services

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Konsynski, Benn R. "Automatic Data Processing, Inc.: Computer Services." Harvard Business School Case 187-044, March 1987. (Revised June 1987.)
  • 2023
  • Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • November 2023
  • Article

Federated Electronic Health Records for the European Health Data Space

By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
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Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
  • December 2011
  • Article

Data Impediments to Empirical Work on Health Insurance Markets

By: Leemore S. Dafny, David Dranove, Frank Limbrock and Fiona Scott Morton
We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time),... View Details
Keywords: Competition; Analytics and Data Science; Market Participation; Insurance Industry
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Dafny, Leemore S., David Dranove, Frank Limbrock, and Fiona Scott Morton. "Data Impediments to Empirical Work on Health Insurance Markets." B.E. Journal of Economic Analysis & Policy 11, no. 2 (December 2011).
  • 09 Oct 2020
  • Working Paper Summaries

Where the Cloud Rests: The Economic Geography of Data Centers

Keywords: by Shane Greenstein and Tommy Pan Fang
  • October 2021
  • Case

CrisisReady: Private Data for Public Good

By: Tarun Khanna and James Barnett
In October 2021, CRISISREADY.io considers how and if it should scale operations. View Details
Keywords: Decision Making; Ethics; Globalization; Governance; Government and Politics; Intellectual Property; Science; Technology
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Khanna, Tarun, and James Barnett. "CrisisReady: Private Data for Public Good." Harvard Business School Case 722-362, October 2021.
  • August 1982 (Revised January 1989)
  • Teaching Note

Perkin-Elmer: Data Systems Group, Teaching Note

By: Robert J. Dolan
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Dolan, Robert J. "Perkin-Elmer: Data Systems Group, Teaching Note." Harvard Business School Teaching Note 583-030, August 1982. (Revised January 1989.)
  • October 1982
  • Case

Data Resources, Inc.: The Tire-Production Forecast

By: Arthur Schleifer Jr.
Keywords: Forecasting and Prediction
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Schleifer, Arthur, Jr. "Data Resources, Inc.: The Tire-Production Forecast." Harvard Business School Case 183-096, October 1982.
  • August 1992 (Revised February 1994)
  • Background Note

Note on Data Protection in Sweden

By: Lynn S. Paine
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Paine, Lynn S. "Note on Data Protection in Sweden." Harvard Business School Background Note 393-035, August 1992. (Revised February 1994.)
  • May 2018
  • Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
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Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
  • Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
  • 17 May 2007
  • Working Paper Summaries

The Price of Capital: Evidence from Trade Data

Keywords: by Laura Alfaro & Faisal Z. Ahmed
  • 2023
  • Working Paper

Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation

By: Sam (Ruiqing) Cao and Marco Iansiti
The increasing availability of data can afford dynamic competitive advantages among data-intensive corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks. We analyze the role of two technological features of data... View Details
Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation
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Cao, Sam (Ruiqing), and Marco Iansiti. "Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation." Harvard Business School Working Paper, No. 21-122, May 2021. (Revised November 2023.)
  • 16 Oct 2019
  • Working Paper Summaries

Core Earnings? New Data and Evidence

Keywords: by Ethan Rouen, Eric So, and Charles C.Y. Wang
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