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  • All HBS Web  (1,339)
    • News  (129)
    • Research  (1,003)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (484)
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  • 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
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Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (A)." Harvard Business School Case 803-051, October 2002. (Revised February 2003.)

    Economic Analysis of the Digital Economy

    As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on... View Details
    • Fast Answer

    U.S. economic data

    H.15 - Interest rates for select U.S. government and Federal Reserve series, published every business day. Bureau of Economic Analysis (BEA) Data - U.S. national data and a variety of... View Details
    • 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.
    • 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.
    • 2015
    • Book

    Economic Analysis of the Digital Economy

    By: Avi Goldfarb, Shane Greenstein and Catherine Tucker
    As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on economic... View Details
    Keywords: Information Technology; Economics
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    Goldfarb, Avi, Shane Greenstein and Catherine Tucker, eds. Economic Analysis of the Digital Economy. University of Chicago Press, 2015.
    • May 2014
    • Article

    Incorporating Field Data into Archival Research

    By: Eugene F. Soltes
    I explore the use of field data in conjunction with archival evidence by examining Iliev, Miller, and Roth's (2014) analysis of an amendment to the Securities Exchange Act of 1934. This regulatory amendment allowed depositary banks to cross-list firms without the... View Details
    Keywords: Analytics and Data Science; Research; Financial Reporting
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    Soltes, Eugene F. "Incorporating Field Data into Archival Research." Journal of Accounting Research 52, no. 2 (May 2014): 521–540.
    • 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.
    • 12 Jan 2023
    • News

    ‘Debiasing’ Debt with Data

    records on borrowers, and put the data through a random forest regression, a type of analysis known for producing good predictions that can be readily understood. When they tested the resulting model, the... View Details
    Keywords: Ralph Ranalli
    • 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
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    Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
    • 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).
    • Article

    Collection, Exploration and Analysis of Crowdfunding Social Networks

    By: Miao Cheng, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang and Po-Ling Loh
    Crowdfunding is a recent financing phenomenon that is gaining wide popularity as a means for startups to raise seed funding for their companies. This paper presents our initial results at understanding this phenomenon using an exploratory data driven approach. We have... View Details
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    Cheng, Miao, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang, and Po-Ling Loh. "Collection, Exploration and Analysis of Crowdfunding Social Networks." Proceedings of the International Workshop on Exploratory Search in Databases and the Web 3rd (2016): 25–30.
    • Fast Answer

    Africa: research, news, analysis

    business environment. Search Tip: Go to Data Tool to download specific indicators of interest, including indicators relating to consumer consumption, income, demographics, etc. Oxford Business Group Country Reports Useful for:... View Details
    • 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.)
    • 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
    • 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
    • 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.
    • 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
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