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  • All HBS Web  (6,755)
    • News  (1,202)
    • Research  (4,388)
    • Events  (115)
    • Multimedia  (62)
  • Faculty Publications  (3,008)
← Page 13 of 6,755 Results →
  • 20 Sep 2014
  • News

Making Big Data Think Bigger

  • 1986
  • Chapter

Incentive Theory with Data Compression

By: Jerry R. Green and Jean-Jacques Laffont
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Green, Jerry R., and Jean-Jacques Laffont. "Incentive Theory with Data Compression." In Uncertainty, Information and Communication: Essays in Honor of Kenneth J. Arrow, Volume 3, edited by Walter P. Heller, Ross M. Starr, and David A. Starrett. Cambridge, England: Cambridge University Press, 1986.
  • November 1984 (Revised March 1985)
  • Case

Restructuring European Petrochemicals: Regional Data

By: Francis Aguilar, Joseph L. Bower and Benjamin Gomes-Casseres
Keywords: Restructuring; Corporate Strategy; Energy Industry; Chemical Industry; Europe
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Aguilar, Francis, Joseph L. Bower, and Benjamin Gomes-Casseres. "Restructuring European Petrochemicals: Regional Data." Harvard Business School Case 385-217, November 1984. (Revised March 1985.)
  • Article

Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business

By: Marco Iansiti and Karim R. Lakhani
When Google bought Nest, a maker of digital thermostats, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are spreading across even the most traditional industrial segments and creating a staggering array of... View Details
Keywords: Digital Innovation; Digitization; Industrial Internet; Technological Innovation; Production; Competitive Strategy; Engineering; Aerospace Industry
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Iansiti, Marco, and Karim R. Lakhani. "Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business." Harvard Business Review 92, no. 11 (November 2014): 90–99.
  • Web

Historical Data Visualization - Business History

Historical Data Visualization To facilitate understanding the history of global capitalism in its broad societal context, this tool provides historical data on broad economic, social View Details
  • February 1992 (Revised January 1999)
  • Background Note

Selected Profitability Data on U.S. Industries and Companies

Describes the importance of industry structure and competitive positioning to the profitability of U.S. corporations between 1981 and 1994. Cites recent research indicating that persistent industry differences and persistent competitor differences account for 19% and... View Details
Keywords: Competitive Strategy; Industry Structures; Profit; United States
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McGahan, Anita M. "Selected Profitability Data on U.S. Industries and Companies." Harvard Business School Background Note 792-066, February 1992. (Revised January 1999.)
  • 18 Jun 2013
  • News

Data is Worthless if You Don't Communicate It

    Digital Data Design Institute at Harvard

    The Tech for All Lab at the D^3 Institute aims to promote accessibility. It will broaden the benefits of digital innovation to reach more emerging economies. By providing knowledge and tools across the stack, it will serve as a launchpad for start-ups and... View Details
    • 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.)
    • 28 Nov 2016
    • News

    One Obstacle to Curing Cancer: Patient Data Isn’t Shared

    • 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.
    • July 1987
    • Case

    Frito-Lay, Inc.: The New Data Center

    By: James I. Cash Jr.
    Keywords: Information Technology; Food and Beverage Industry
    Citation
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    Cash, James I., Jr. "Frito-Lay, Inc.: The New Data Center." Harvard Business School Case 188-018, July 1987.
    • 27 Aug 2021
    • News

    How Data Literate Is Your Company?

    • August 2015 (Revised September 2016)
    • Case

    Duetto: Industry Transformation with Big Data

    By: Lynda M. Applegate, Gabriele Piccoli and Federico Pigni
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    Applegate, Lynda M., Gabriele Piccoli, and Federico Pigni. "Duetto: Industry Transformation with Big Data." Harvard Business School Case 816-028, August 2015. (Revised September 2016.)
    • September 2021 (Revised December 2021)
    • Case

    Spire, the CubeSat Revolution, and the Government as a Space Data Customer

    By: Matthew Weinzierl, Mehak Sarang and Brendan L. Rosseau
    This case outlines the rise of Spire Global, a young space company using CubeSats to provide weather data and weather prediction services. In addition to tracing the evolution of a space startup from novel idea to publicly-traded company, the case also examines the... View Details
    Keywords: Space; Government Contracting; Remote Sensing; Satellites; Business Startups; Public Sector; Cost vs Benefits; Competition; Weather; Forecasting and Prediction
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    Weinzierl, Matthew, Mehak Sarang, and Brendan L. Rosseau. "Spire, the CubeSat Revolution, and the Government as a Space Data Customer." Harvard Business School Case 722-013, September 2021. (Revised December 2021.)
    • 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).
    • August 2005 (Revised December 2006)
    • Case

    Procter & Gamble: Electronic Data Capture and Clinical Trial Management

    By: Robert S. Huckman and Mark J. Cotteleer
    Considers whether the management of Procter & Gamble (P&G) Pharmaceuticals should adopt Web-based electronic data capture (EDC) as the default standard for the management of its clinical drug trials. Provides a detailed description of the existing paper-based process... View Details
    Keywords: Health Testing and Trials; Internet and the Web; Information Technology; Adoption; Business Processes; Industry Structures; Technological Innovation; Service Operations; Pharmaceutical Industry; United States
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    Huckman, Robert S., and Mark J. Cotteleer. "Procter & Gamble: Electronic Data Capture and Clinical Trial Management." Harvard Business School Case 606-033, August 2005. (Revised December 2006.)
    • 16 Nov 2010
    • Lessons from the Classroom

    Data.gov: Matching Government Data with Rapid Innovation

    Obama-to move government data to the Web-lead to public benefits much faster? Data.gov, the subject of a new HBS case study, taught for the first time this summer, highlights the potential of raw data to... View Details
    Keywords: by Martha Lagace; Technology
    • 2009
    • Chapter

    Entry, Exit and Labour Productivity in U.K. Retailing: Evidence from Micro Data

    By: Jonathan Haskel and Raffaella Sadun
    The paper investigates the U.K. retail sector using store and firm-level data between 1998 and 2003. First, we present the first exhaustive description of the U.K. retail sector using micro data sources. Second, in the spirit of Foster, Haltiwanger, and Krizan (2002),... View Details
    Keywords: Business Ventures; Market Entry and Exit; Organizational Change and Adaptation; Performance Productivity; Retail Industry; United Kingdom
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    Haskel, Jonathan, and Raffaella Sadun. "Entry, Exit and Labour Productivity in U.K. Retailing: Evidence from Micro Data." Chap. 7 in Producer Dynamics: New Evidence from Micro Data, edited by Timothy Dunne, J. Bradford Jensen, and Mark J. Roberts. University of Chicago Press, 2009. (Working Paper version.)
    • Web

    Historical Data & Sources - Business History

    Notes: Literacy rates are based on population surveys which were not conducted on a regular basis and did not cover many developing countries. Download Data Set in Excel Apollo... View Details
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