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Show Results For
-
All HBS Web
(1,702)
- People (9)
- News (315)
- Research (1,021)
- Events (12)
- Multimedia (10)
- Faculty Publications (834)
- Article
Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute
By: Josh Lerner and Leslie Jeng
Private markets are becoming an increasingly important way of financing rapidly growing and mature firms, and private investors are reputed to have far-reaching economic impacts. These important markets, however, are uniquely difficult to study. This paper explores...
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Lerner, Josh, and Leslie Jeng. "Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 157–160.
- October 2018
- Case
Fundraising at St. Camillus Hospital
By: Srikant M. Datar and Caitlin N. Bowler
St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital...
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Keywords:
Data Analysis;
Data Privacy;
Data Governance;
Non-profit;
Health Care;
Fundraising;
Data Security;
Analytics and Data Science;
Safety;
Governance;
Ethics;
Health Care and Treatment;
Cybersecurity
Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
- 01 Jun 1996
- News
Reinventing Marketing
technologically savvy, analytically sophisticated, and expansive in its industry coverage. Within this context, several major initiatives are under way in Marketing. First on the agenda is faculty staffing and development. With several...
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- Fast Answer
Affordable housing resources
href="http://www.library.hbs.edu/guides/realestate.html" title="Real Estate Research Guide">Real Estate Research Guide Moody’s Analytics CRE Associations & Institutes Trade, industry, and professional associations are...
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- 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...
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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.
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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?
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Rick Grinnell
(acquired by Deloitte). As an experienced venture capitalist and operator, Rick has invested in some of the most dynamic companies in security, storage, analytics and SaaS applications during his 20+ years in the venture capital industry....
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Keywords:
Venture Capital
- Student-Profile
Patrick Ferguson
sports analytics consulting group, where he helped professional sports teams identify undervalued players. His next position—as an accounting research assistant at his alma mater—brought these threads together. The senior faculty members...
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- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if...
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Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
- 2014
- Working Paper
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent...
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Keywords:
Peer Firm;
EDGAR Search Traffic;
Revealed Preference;
Co-search;
Industry Classification;
Analytics and Data Science;
Internet and the Web;
Mathematical Methods;
Corporate Finance
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
- Career Coach
Lee Scott
Lee started her career in the nonprofit sector. She has spent the last few years transitioning into an impact investing role. She can provide advice on switching sectors and strategizing how to build out relevant skillsets. Work Experience: J.P. Morgan (MBA...
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- August 23, 2018
- Article
Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost
By: Katy French, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel and Thomas W. Feeley
Patients and providers are frustrated with seemingly endless data entry. We used our patients’ vested interest in their own health care by actively engaging them in the entry of their own medical information into the EHR. Prior to the implementation of the new EHR we...
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Keywords:
Health Care and Treatment;
Analytics and Data Science;
Performance Efficiency;
Cost Management
French, Katy, Barbra Bryce Speer, Alexis B. Guzman, Tayab Andrabi, Iris Recinos, Keith A. Shook, James R. Incalcaterra, John C. Frenzel, and Thomas W. Feeley. "Using a New EHR System to Increase Patient Engagement, Improve Efficiency, and Decrease Cost." NEJM Catalyst (August 23, 2018).
- February 2021
- Technical Note
Probability Distributions
By: Michael Parzen and Paul Hamilton
This technical note introduces students to the concept of random variables, and from there the normal and binomial distributions. After a brief introduction to random variables, the note describes the standard properties of the normal distribution: a single peak, and a...
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Parzen, Michael, and Paul Hamilton. "Probability Distributions." Harvard Business School Technical Note 621-704, February 2021.
- 2017
- Chapter
Venture Capital Data: Opportunities and Challenges
By: Steven N. Kaplan and Josh Lerner
This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better.
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Kaplan, Steven N., and Josh Lerner. "Venture Capital Data: Opportunities and Challenges." Chap. 10 in Measuring Entrepreneurial Businesses: Current Knowledge and Challenges. Vol. 75, edited by John Haltiwanger, Erik Hurst, Javier Miranda, and Antoinette Schoar. Studies in Income and Wealth (NBER). Chicago: University of Chicago Press, 2017.
- February 1994
- Background Note
Causal Inference
Discusses what causation is and what one can (and cannot) learn about causation from observational (nonexperimental) data.
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Schleifer, Arthur, Jr. "Causal Inference." Harvard Business School Background Note 894-032, February 1994.
- 14 Dec 2015
- Research & Ideas
Deflategate and the Sustained Success of the New England Patriots
organizations involved. But Deflategate isn’t the only issue examined by the case. “What started essentially as an analytics exercise ended up as a much broader analysis of the data, the sport, the NFL, and how it’s organized and how it’s...
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- 2020
- Working Paper
An Empirical Guide to Investor-Level Private Equity Data from Preqin
By: Juliane Begenau, Claudia Robles-Garcia, Emil Siriwardane and Lulu Wang
This note provides guidance on the use of investor-level private equity data from Preqin for empirical research. Preqin primarily sources its cash flow data through Freedom of Information Act (FOIA) requests with U.S. public pensions. Our focus is on the components of...
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Keywords:
Private Equity Returns;
Prequin Data;
Private Equity;
Analytics and Data Science;
Investment Return
Begenau, Juliane, Claudia Robles-Garcia, Emil Siriwardane, and Lulu Wang. "An Empirical Guide to Investor-Level Private Equity Data from Preqin." Working Paper, December 2020.
- 2019
- Article
Big Data
By: John A. Deighton
Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified that, the paper argues, have large consequences for the social order. The infrastructure that runs...
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Keywords:
Big Data;
Digital Infrastructure;
Privacy;
Algorithm;
Data Generators;
Marketplace Icon;
Analytics and Data Science;
Infrastructure;
Power and Influence;
Society
Deighton, John A. "Big Data." Consumption, Markets & Culture 22, no. 1 (2019): 68–73.
- Web
Entrepreneurs Promise Signers - Alumni
Loktev (MBA 2011), Index Ventures Leonardo Lujan (MBA 2020), Nilus Freddie Martignetti (MBA 2011), Nava Ventures Nate Maslak (MBA 2017), Ribbon Health Sumir Meghani (MBA 2008), Instawork Rahul Mehendale (MBA 2003), Pace Analytics Inc....
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