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  • All HBS Web  (1,368)
    • News  (128)
    • Research  (994)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (485)

Show Results For

  • All HBS Web  (1,368)
    • News  (128)
    • Research  (994)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (485)
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  • Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets
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Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
  • February 2021
  • Tutorial

Getting Started in RStudio Cloud

By: Chiara Farronato and Caleb Kwon
This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details
Keywords: Data Analysis; Data Analytics; Experiment; Experimental Design; Analytics and Data Science; Analysis; Applications and Software
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Farronato, Chiara, and Caleb Kwon. Getting Started in RStudio Cloud. Harvard Business School Tutorial 621-708, February 2021.
  • 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... View Details
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
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Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
  • 16 Aug 2010
  • Lessons from the Classroom

HBS Introduces Marketing Analysis Tools for Managers

marketing has undergone immense changes over the past decade, and those changes are driving an increasing need for data analysis. Marketing today combines both art and science: Managers must combine creative thinking with rigorous View Details
Keywords: by Sarah Jane Gilbert
  • November 5, 2021
  • Article

Leaders: Stop Confusing Correlation with Causation

By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide... View Details
Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning
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Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
  • 22 Aug 2005
  • Research & Ideas

The Hard Work of Failure Analysis

of an airliner. Hundreds of hours may go into gathering and analyzing data to sort out exactly what happened and what can be learned. Compare this kind of analysis to what takes place in most organizations... View Details
Keywords: by Amy Edmondson & Mark D. Cannon
  • Research Summary

Finding their voice: Time and the conditions that elevate participation of lower-power members in teams [Dissertation, data analysis and writing]

This dissertation paper develops theory about how gaining voice and “speaking up” by low-power members is not sufficient to create changes that benefit them and their low-power colleagues; that, in fact, speaking up when the team is not ready to listen results in... View Details
  • 04 Jun 2024
  • Research & Ideas

Navigating Consumer Data Privacy in an AI World

be forgotten.” So, if someone asks a company to delete their records because they don't want to be part of any data analysis or algorithms, the company needs to act fast and get it done. Sticking to the... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 16 Oct 2019
  • Working Paper Summaries

Core Earnings? New Data and Evidence

Keywords: by Ethan Rouen, Eric So, and Charles C.Y. Wang
  • 11 May 2021
  • Working Paper Summaries

Time Dependency, Data Flow, and Competitive Advantage

Keywords: by Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani
  • December 2022 (Revised January 2025)
  • Case

Akooda: Charging Toward Operational Intelligence

By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
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Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
  • 2013
  • Chapter

Privacy Breach Analysis in Social Networks

By: Frank Nagle
Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the... View Details
Keywords: Crime and Corruption; Social and Collaborative Networks; Social Media; Cybersecurity; Analytics and Data Science
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Nagle, Frank. "Privacy Breach Analysis in Social Networks." In Mining Social Networks and Security Informatics, edited by Tansel Ozyer, Zeki Erdem, Jon Rokne, and Suheil Khoury, 63–77. Springer Science + Business Media, 2013.
  • 19 Dec 2023
  • Research & Ideas

$15 Billion in Five Years: What Data Tells Us About MacKenzie Scott’s Philanthropy

analysis was tax filings made with the US Internal Revenue Service, which is the most comprehensive and reliable source of nonprofit financial information. Our financial data reflects the year prior to the... View Details
Keywords: by Matthew Lee, Brian Trelstad, and Ethan Tran
  • August 2005 (Revised April 2008)
  • Teaching Note

Store24 (B): 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; Retail Industry
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Frei, Frances X. "Store24 (B): Statistics Review with Data Desk (TN)." Harvard Business School Teaching Note 606-037, August 2005. (Revised April 2008.)
  • 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
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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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. View Details
Keywords: Business Conglomerates; Analytics and Data Science; Food and Beverage Industry
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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.)
  • August 2005 (Revised April 2008)
  • Teaching Note

Store24 (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; Retail Industry
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Frei, Frances X. "Store24 (A): Statistics Review with Data Desk (TN)." Harvard Business School Teaching Note 606-036, August 2005. (Revised April 2008.)
  • 2010
  • Working Paper

The Unbundling of Advertising Agency Services: An Economic Analysis

By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
We address a longstanding puzzle surrounding the unbundling of services occurring over several decades in the U.S. advertising agency industry: What accounts for the shift from bundling to unbundling of services and the slow pace of change? Using Evans and Salinger's... View Details
Keywords: Advertising; Change; Forecasting and Prediction; Cost; Price; Analytics and Data Science; Surveys; Marketing Strategy; Media; Service Operations; Agency Theory; Mathematical Methods; Advertising Industry; United States
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Arzaghi, Mohammad, Ernst R. Berndt, James C. Davis, and Alvin J. Silk. "The Unbundling of Advertising Agency Services: An Economic Analysis." Harvard Business School Working Paper, No. 11-039, September 2010.
  • 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
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Frei, Frances X. "GuestFirst Hotel (A): Statistics Review with Data Desk (TN)." Harvard Business School Teaching Note 606-038, August 2005. (Revised April 2008.)
  • February 2021
  • Tutorial

T-tests: Theory and Practice

By: Michael Parzen, Natalie Epstein, Chiara Farronato and Michael Toffel
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
Keywords: Data Analysis; Data Analytics; Experiment Design; Experimentation; Analytics and Data Science; Analysis
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Parzen, Michael, Natalie Epstein, Chiara Farronato, and Michael Toffel. T-tests: Theory and Practice. Harvard Business School Tutorial 621-707, February 2021.
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