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Show Results For
- All HBS Web
(6,930)
- News (1,270)
- Research (4,453)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,096)
- Web
Global Crises Data by Country - Behavioral Finance & Financial Stability
Data Global Crises Data by Country Download Data Set in Excel On this page we present data collected over many years by Carmen Reinhart (with her... View Details
- January 2022
- Supplement
Apple Inc. in 2020 – Select Market Data
By: David B. Yoffie
Supplement to HBS Case No. 720-454, "Apple Inc. in 2020." View Details
Yoffie, David B. "Apple Inc. in 2020 – Select Market Data." Harvard Business School Supplement 722-387, January 2022.
- January 2008 (Revised April 2008)
- Teaching Note
Pilgrim Bank (C): Statistics Review with Data Desk
By: Frances X. Frei
Teaching Note for [602103]. View Details
- April 1986
- Teaching Note
Data Administration in Citibank Brazil (Abridged), Teaching Note
By: Shoshana Zuboff
- 27 Feb 2024
- Research & Ideas
Why Companies Should Share Their DEI Data (Even When It’s Unflattering)
products. “At the moment, many companies aren’t disclosing data on their workforce diversity,” Nam explains. “Simply disclosing this information is enough to improve customer attitudes.” The research comes amid mounting concern that DEI... View Details
Keywords: by Shalene Gupta
- 23 Sep 2017
- Working Paper Summaries
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity at Scale
Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business
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... View Details
- July 2025
- Article
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review 100, no. 4 (July 2025): 135–159.
- 22 Feb 2024
- News
How to Make AI ‘Forget’ All the Private Data It Shouldn’t Have
- June 21, 2017
- Article
A New Approach to Safely Sharing Cancer Patients' Data
By: Richard G. Hamermesh and Kathryn E. Giusti
Hamermesh, Richard G., and Kathryn E. Giusti. "A New Approach to Safely Sharing Cancer Patients' Data." Harvard Business Review (website) (June 21, 2017).
- July 1990
- Case
Gillette Co.: Evolution of Electronic Data Interchange Strategy (A)
Konsynski, Benn R. "Gillette Co.: Evolution of Electronic Data Interchange Strategy (A)." Harvard Business School Case 191-010, July 1990.
- August 2005 (Revised April 2008)
- Teaching Note
GuestFirst Hotel (A): Statistics Review with Data Desk (TN)
By: Frances X. Frei
Presents an overview of the statistical analysis covered in the case discussion. View Details
Keywords: Mathematical Methods
- 09 Nov 2015
- News
Career Data Released for the MBA Class of 2015
- 24 Feb 2011
- News
Latest sales, price data point to weak, tentative recovery
- 20 Dec 2023
- News
Micron Gives Upbeat Forecast, Sees Strong Data Center Demand
- 22 Mar 2023
- News
Indian Data Reveals Adani Empire’s Reliance on Offshore Funding
- 2025
- Working Paper
Turning Points in Inflation: A Structural Breaks Approach with Micro Data
By: Alberto Cavallo and Gastón García Zavaleta
We introduce a novel methodology for detecting inflation turning points that combines high-frequency, disaggregated price data with standard structural break techniques to provide policymakers with more precise and timely signals of inflation dynamics. The methodology... View Details
Cavallo, Alberto, and Gastón García Zavaleta. "Turning Points in Inflation: A Structural Breaks Approach with Micro Data." Working Paper, May 2025. (Preliminary draft.)
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- 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.)