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Show Results For
- All HBS Web
(7,599)
- People (3)
- News (1,355)
- Research (5,015)
- Events (123)
- Multimedia (55)
- Faculty Publications (3,413)
- 19 Mar 2015
- News
Startup Raises $40M to Keep Small Businesses’ Cash Flowing
- Article
Using Internet Data for Economic Research
By: Benjamin Edelman
The data used by economists can be broadly divided into two categories. First, structured datasets arise when a government agency, trade association, or company can justify the expense of assembling records. The Internet has transformed how economists interact with... View Details
Keywords: Data and Data Sets; Research; Internet; Cost Management; Information Management; Factories, Labs, and Plants; Reports; Archives; Surveys; Economics
Edelman, Benjamin. "Using Internet Data for Economic Research." Journal of Economic Perspectives 26, no. 2 (Spring 2012): 189–206.
- Fast Answer
Workplace Diversity: Data Sources
Non-profit organization “with a mission to expand opportunities for women and business.” They provide research and data on women and diversity in the workplace both in the US and internationally. By the Numbers gives snapshot... View Details
- October 2002 (Revised February 2003)
- Case
Administrative Data Project (A)
By: Lynda M. Applegate and Donald E. Heller
Encourages analysis of the implementation of a large technical infrastructure and process transformation project within a university setting. Enables an instructor to teach change management, leadership, and technical project management skills. View Details
Keywords: Teaching; Change Management; Management Practices and Processes; Transformation; Learning; Competency and Skills; Leadership Development; Non-Governmental Organizations; Education Industry
Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (A)." Harvard Business School Case 803-051, October 2002. (Revised February 2003.)
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- 27 Sep 2018
- Working Paper Summaries
Large-Scale Demand Estimation with Search Data
Invisible Primes: Fintech Lending with Alternative Data
A key policy question raised by the advent of fintech lenders revolves around the impact on credit availability of credit models that employ alternative data and algorithmic underwriting. We exploit anonymized administrative data provided by a major fintech platform... View Details
- December 1996 (Revised August 1998)
- Teaching Note
General Mills, Inc.: Appendix of Comparable Company Data TN
Teaching Note for (9-197-037). View Details
Keywords: Food and Beverage Industry
- December 2024
- Teaching Note
Assessing the Value of Unifying and De-duplicating Customer Data
By: Elie Ofek and Hema Yoganarasimhan
Teaching Note for HBS Case No. 525-023. View Details
- 23 Dec 2020
- News
Why the Growth of Impact Investing Depends on Data
- July 2015 (Revised October 2017)
- Case
Podium Data: Harnessing the Power of Big Data Analytics
By: Lynda M. Applegate, Karim R. Lakhani and Nicole Bucala
Applegate, Lynda M., Karim R. Lakhani, and Nicole Bucala. "Podium Data: Harnessing the Power of Big Data Analytics." Harvard Business School Case 816-007, July 2015. (Revised October 2017.)
- February 2022
- Case
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in... View Details
Keywords: Analytics and Data Science; Government Administration; Leadership; Transformation; City; Measurement and Metrics; Public Administration Industry; Boston; United States
Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
- 01 Jun 2023
- News
Bridging the ESG Data Gap
“I found lots of ESG buzzwords and messaging,” Murday notes, “but quantitative data was missing.” Nurturing Breakthrough Ideas READ MORE STORIES Nurturing Breakthrough Ideas READ MORE STORIES Her assessment... View Details
Keywords: Deborah Blagg
- 12 Oct 2022
- Video
Brandeis Marshall: The Potential for Data Equity
- November 2019
- Article
How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details
Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
- 18 Feb 2014
- News
Data pioneers watching us work
- Article
The Internal Economics of the Firm: Evidence from Personnel Data
By: George P. Baker, Michael Gibbs and Bengt Holmstrom
Baker, George P., Michael Gibbs, and Bengt Holmstrom. "The Internal Economics of the Firm: Evidence from Personnel Data." Quarterly Journal of Economics 109, no. 4 (November 1994).
- Fast Answer
Commodities Research: data and reports
face="Helvetica Neue, Helvetica, Arial, sans-serif"> and information on the worldwide supply of, demand for, and flow of minerals and... View Details
- Forthcoming
- 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 (forthcoming). (Pre-published online April 22, 2025.)
- 2018
- Simulation
Financial Analysis Simulation: Data Detective
By: Suraj Srinivasan and V.G. Narayanan
In this simulation, students learn to identify typical industry characteristics revealed in financial data. Equipped with an interactive and flexible set of tools, students analyze disguised financials and—using their knowledge of operational practices and reasoning... View Details
Keywords: Financial Analysis; Financial Accounting; Financial Ratios; Accounting; Financial Statements; Analysis
Srinivasan, Suraj, and V.G. Narayanan. "Financial Analysis Simulation: Data Detective." Core Curriculum Readings Series. Simulation and Teaching Note. Boston: Harvard Business Publishing 8742, 2018. Electronic.