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Show Results For
- All HBS Web
(1,736)
- People (9)
- News (323)
- Research (1,040)
- Events (13)
- Multimedia (10)
- Faculty Publications (859)
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 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.)
- January 2016
- Case
Acxiom
By: John Deighton
Acxiom built the market for personal data, yet sales have been flat for a decade during which marketing's appetite for data has exploded. Will the acquisition of a digital data onboarder LiveRamp give marketers what they want from a data broker? View Details
- 29 Jun 2015
- HBS Case
Consumer-centered Health Care Depends on Accessible Medical Records
Charlotte, which in 2014 owned and managed hospitals and acute care facilities in three states. In 2011, Carolinas launched Dickson Advanced Analytics, which incorporated complex clinical, financial, demographic, and claims data to develop View Details
- 20 Oct 2016
- News
Smart Moves
provider of a whole range of services—parking, fuel-price data, intermodal routing—centered on the connected car. Although the majority of our data comes directly from consumers—think of it as crowd sourcing of traffic information—we’re not a consumer brand. We’re a... View Details
- March 2022 (Revised January 2025)
- Technical Note
Prediction & Machine Learning
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
- May–June 2015
- Article
Big Data: Big Deal or Big Hype?
By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
- 16 Aug 2010
- Lessons from the Classroom
HBS Introduces Marketing Analysis Tools for Managers
The marketing analysis toolkits are a suite of analytical tools that managers can use to inform decision-making in marketing. Each toolkit includes a technical note that outlines the analysis technique, provides examples of how it is used... View Details
Keywords: by Sarah Jane Gilbert
- 2023
- Working Paper
Corporate Website-based Measures of Firms' Value Drivers
By: Wei Cai, Dennis Campbell and Patrick Ferguson
We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details
Cai, Wei, Dennis Campbell, and Patrick Ferguson. "Corporate Website-based Measures of Firms' Value Drivers." SSRN Working Paper Series, No. 4413808, April 2023.
- April 2021
- Case
Glass-Shattering Leaders: Ros Atkins
By: Boris Groysberg and Colleen Ammerman
Ros Atkins launched the 50:50 Project on a BBC news program he anchored, deciding with his team to start tracking the gender of the contributors and experts featured on the show. Before long, it was clear that monitoring the data led to increased awareness of a gender... View Details
Keywords: Gender Equality; Allyship; Representation; Leadership; Gender; Equality and Inequality; Media; Analytics and Data Science
Groysberg, Boris, and Colleen Ammerman. "Glass-Shattering Leaders: Ros Atkins." Harvard Business School Case 421-075, April 2021.
- March 2019
- Case
Wattpad
By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Publishing Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
- Career Coach
Alan Braly
and deploy analytics tools based on real world data sources. He began his career in implantable medical device research and development at Medtronic. Work Experience: Foundation Medicine (Senior Director); Blavatnik Fellow / Start-up... View Details
- 01 Dec 2011
- News
What HBS Learned from West Point
something more holistic. They respond to character—who you are, your values, and your identity.” The parallels for business educators are striking. Business schools have been criticized for relying too heavily on teaching disciplinary knowledge and developing View Details
- Web
Kraft Accelerator
Podcast Podcast Showcasing the business models, technologies, and proof points of data & analytics leaders in precision medicine. Subscribe on Apple Podcasts More Ways to Listen Google Play Stitcher Spotify 25 Sep 2019 Under the Datascope... View Details
- 25 Aug 2022
- News
3-Minute Briefing: Arnon Mishkin (MBA 1989)
in college was mathematics. I’m really interested in politics, and I’m really interested in analytic thinking. Data journalism feels like the ultimate place where politics and math meet. For a while I worked for David Garth on different... View Details
William J. Ruane
Through his strong analytical skills and conservative, bottom-line driven investing approach, Ruane became one of the most successful fund managers on Wall Street. Over the past thirty years, Raune’s value-based investing approach has... View Details
Keywords: Finance
- March–April 2022
- Article
Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize
By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details
Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement
Patil, Shefali V., and Ethan Bernstein. "Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize." Organization Science 33, no. 2 (March–April 2022): 541–570. (*The authors contributed equally to this manuscript.)
- February 2011 (Revised November 2011)
- Supplement
Berkshire Partners: Bidding for Carter's (CW)
By: Malcolm P. Baker and David Lane
Supplemental data on comparable companies to Burger King including both public companies and similar transactions. View Details
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- June 2023
- Article
How New Ideas Diffuse in Science
By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland
What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details
Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science
Cheng, Mengjie, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, and Daniel A. McFarland. "How New Ideas Diffuse in Science." American Sociological Review 88, no. 3 (June 2023): 522–561.