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Show Results For
- All HBS Web
(6,754)
- News (1,202)
- Research (4,388)
- Events (115)
- Multimedia (62)
- Faculty Publications (3,008)
- 27 Jul 2017
- News
The Revolution in Advertising: From Don Draper to Big Data
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
understand these impacts and values. You set the governance, you set the standards, and you want to be very thoughtful about which ones you set,”... View Details
Keywords: by Kara Baskin
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- 06 Jul 2017
- Working Paper Summaries
Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited
- December 1996 (Revised November 2006)
- Background Note
General Mills, Inc.: Appendix of Comparable Company Data
By: William J. Bruns Jr.
Financial ratios for comparable companies to be used in conjunction with an analysis of the General Mills Annual Report. View Details
Bruns, William J., Jr. "General Mills, Inc.: Appendix of Comparable Company Data." Harvard Business School Background Note 197-037, December 1996. (Revised November 2006.)
- May–June 2018
- Article
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations
By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore
Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details
Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry
Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations Research 66, no. 3 (May–June 2018): 697–715. (Winner, 2014 INFORMS Health Applications Society Pierskalla Award & Finalist, 2014 INFORMS George E. Nicholson student paper competition.)
- November 2001 (Revised October 2017)
- Supplement
GuestFirst Hotel (B): Taking Advantage of Panel Data
By: Frances X. Frei and Dennis Campbell
Supplements the (A) case. View Details
Keywords: Accommodations Industry
Frei, Frances X., and Dennis Campbell. "GuestFirst Hotel (B): Taking Advantage of Panel Data." Harvard Business School Supplement 602-111, November 2001. (Revised October 2017.)
- Fast Answer
Finding a Time Series of Financial Data in Compustat
Select Compustat - Capital IQ Under Other Compustat on left select North America – Annual Updates Choose Fundamentals Annual Step One: Date Range Set Date Variable to Data date View Details
- 02 Apr 2015
- Research & Ideas
Digital Initiative Summit: Freeing Patient Data to Enable Innovation
Patients are not actually the customers in the United States health care system, a fact largely to blame for the dearth of communication and data sharing between providers, according to experts at a recent... View Details
- September 2024
- Supplement
Assessing the Value of Unifying and De-Duplicating Customer Data Spreadsheet Supplement
By: Elie Ofek
- Fast Answer
HBS Alumni Research Tips: Finding Market Data & Insights
How can alumni search for market data, trends, and insights? Statista is a user-friendly aggregator of statistical data from more than 20,000 sources worldwide. Follow instructions to register for a free... View Details
- July 2021
- Article
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details
Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry
Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.
- 09 Nov 2015
- News
Career Data Released for the MBA Class of 2015
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for... View Details
- 24 Jun 2021
- News
COVID-19 Has Stymied Governments’ Efforts to Collect Data
- 24 Feb 2011
- News
Latest sales, price data point to weak, tentative recovery
- 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
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.