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(6,739)
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Show Results For
- All HBS Web
(6,739)
- News (1,207)
- Research (4,361)
- Events (115)
- Multimedia (62)
- Faculty Publications (2,979)
- 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
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.)
- October 18, 2021
- Article
To Regulate Network-Based Platforms, Look at Their Data
By: Chiara Farronato and Daniel Björkegren
Historically, antitrust authorities have taken a laissez-faire approach under the assumption that it is better to err on the side of not intervening when there is uncertainty. This has allowed companies like Google and Facebook to go on a shopping spree to acquire... View Details
Keywords: Antitrust Issues And Policies; Risk and Uncertainty; Digital Platforms; Competitive Advantage; Governing Rules, Regulations, and Reforms; Innovation and Invention; Information Technology Industry
Farronato, Chiara, and Daniel Björkegren. "To Regulate Network-Based Platforms, Look at Their Data." Harvard Business Review Digital Articles (October 18, 2021).
- 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
- 01 Mar 2018
- News
Democratizing Data to Favor Farmers
harvest data with one another to help find the best performing seeds—which represented their largest variable expense. The idea quickly evolved into developing a completely independent, farmer-driven information source identifying top... View Details
Keywords: Sasha Issenberg
How the Best Chief Data Officers Create Value
Despite the rapidly increasing prominence of data and analytics functions, the majority of chief data officers (CDOs) fail to value and price the business outcomes created by their data and analytics capabilities. It comes as no surprise then that many CDOs fall... View Details
- July 1987
- Case
Frito-Lay, Inc.: The New Data Center
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
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.)
- 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
Simons, Robert L., and Hilary Weston. "Automatic Data Processing: The EFS Decision." Harvard Business School Case 190-059, November 1989. (Revised November 1999.)
- 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
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 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
McGahan, Anita M. "Selected Profitability Data on U.S. Industries and Companies." Harvard Business School Background Note 792-066, February 1992. (Revised January 1999.)
- 19 Dec 2023
- Research & Ideas
$15 Billion in Five Years: What Data Tells Us About MacKenzie Scott’s Philanthropy
finished giving, but with more than $15 billion granted to nearly 2,000 organizations, some meaningful patterns have begun to emerge. We parsed all the Yield Giving donation information available to date and matched it with Internal... View Details
- August 1998
- Teaching Note
Electronic Data Systems (EDS) TN
Teaching Note for (9-398-072). View Details
- 1986
- Chapter
Incentive Theory with Data Compression
By: Jerry R. Green and Jean-Jacques Laffont
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
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.)
- Web
Data Storage - Research Computing Services
Compute Cluster and Data Storage Data Storage 3ms There are three different sets of storage locations that are available for research work,... View Details
- 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
- 18 Jun 2013
- News
Data is Worthless if You Don't Communicate It
- 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
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).
- 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
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.)