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  • All HBS Web  (6,756)
    • News  (1,202)
    • Research  (4,389)
    • Events  (115)
    • Multimedia  (62)
  • Faculty Publications  (3,009)

Show Results For

  • All HBS Web  (6,756)
    • News  (1,202)
    • Research  (4,389)
    • Events  (115)
    • Multimedia  (62)
  • Faculty Publications  (3,009)
← Page 23 of 6,756 Results →
  • 22 Apr 2015
  • News

Big data is key to disrupting the U.S. patent industry

  • August 2020
  • Technical Note

Comparing Two Groups: Sampling and t-Testing

By: Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel
This note describes sampling and t-tests, two fundamental statistical concepts. View Details
Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
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Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
  • 03 Mar 2022
  • News

Data Reveals Where Russia Chip Sanctions Will Sting the Most

  • 20 Apr 2015
  • News

Chelsea Clinton on Using Data to Eliminate the Gender Gap

  • April 1988
  • Article

Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)

By: Hirotaka Takeuchi and Hiroshi Kobayashi
Keywords: Cooperation; Strategy; Business Ventures; Information; Theory
Citation
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Takeuchi, Hirotaka, and Hiroshi Kobayashi. "Nihon Kigyou no Kokusai Teikei Senryaku: Data ni Motozuku Genjou Bunseki (International Collaboration Strategy of Japanese Firms: New Findings from Data Analysis)." Hitotsubashi bijinesu rebyū [Hitotsubashi Business Review] (April 1988).
  • 17 Dec 2015
  • News

New Research: Big Data Offers New Possibilities for City Planners

  • Article

Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis

By: R. Metters, F. Frei and V. Vargas
Keywords: Measurement and Metrics; Data and Data Sets; Service Industry
Citation
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Metters, R., F. Frei, and V. Vargas. "Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis." Production and Operations Management 8, no. 3 (Fall 1999): 264–281.
  • 2025
  • White Paper

Data & Technology in Action: Community Colleges Advancing Economic Mobility

By: Joseph B. Fuller, Kerry McKittrick and Amanda Holloway
Keywords: Higher Education; Demographics; Economic Growth; Competency and Skills; Employment
Citation
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Fuller, Joseph B., Kerry McKittrick, and Amanda Holloway. "Data & Technology in Action: Community Colleges Advancing Economic Mobility." White Paper, Project on Workforce at Harvard, February 2025.
  • 11 Apr 2012
  • News

5 Founder Lessons From a Decade of Data on Startups

  • August 2018 (Revised September 2018)
  • Supplement

LendingClub (B): Decision Trees & Random Forests

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • January 2021 (Revised March 2021)
  • Exercise

E-Commerce Analytics for CPG Firms (A): Estimating Sales

By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Direct-to-consumer; DTC; Analytics and Data Science; Sales; Marketing; E-commerce; Retail Industry; Consumer Products Industry; United States
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Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Exercise 521-078, January 2021. (Revised March 2021.)
  • March 1987
  • Article

Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

By: J. Frankel and K. A. Froot
Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Analytics and Data Science; Finance
Citation
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Frankel, J., and K. A. Froot. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations." American Economic Review 77, no. 1 (March 1987): 133–153. (Revised from NBER Working Paper No. 1672.)

    How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

    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
    • 1979
    • Chapter

    Research Methods and Data Analysis: The Challenge of Knowing How to Do What About Why

    By: T. M. Amabile and W. DeJong
    Keywords: Mathematical Methods; Knowledge Acquisition; Knowledge Management; Knowledge Use and Leverage
    Citation
    Related
    Amabile, T. M., and W. DeJong. "Research Methods and Data Analysis: The Challenge of Knowing How to Do What About Why." In Psychology and Life. 10th ed. Edited by P. G. Zimbardo. Glenview, IL: Scott, Foresman and Company, 1979.
    • 27 Feb 2023
    • Research & Ideas

    How One Late Employee Can Hurt Your Business: Data from 25 Million Timecards

    pandemic fatigue set off a wave of “quiet quitting” and not-so-quiet quitting. "The heart of what we found is that the [quality of work] depends on how much it's accompanied by other employees being late or... View Details
    Keywords: by Ben Rand; Retail
    • February 2016 (Revised February 2017)
    • Case

    The Climate Corporation

    By: David E. Bell, Forest Reinhardt and Mary Shelman
    Climate Corporation is a San Francisco–based data analytics company focused on agricultural applications. It was acquired by Monsanto in 2013. In 2015, Climate's decision support platform was used on 75 million acres of farmland in the U.S.; however, most of those... View Details
    Keywords: Agribusiness Industry; Farming; Big Data; Data Analytics; Agriculture; Agribusiness; Decision Making; Analytics and Data Science; Agriculture and Agribusiness Industry
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    Bell, David E., Forest Reinhardt, and Mary Shelman. "The Climate Corporation." Harvard Business School Case 516-060, February 2016. (Revised February 2017.)
    • 26 Jan 2024
    • Blog Post

    Access Real-World Employment Data from HBS Alumni with the Career Trends Tool

    post-grad compensation and job responsibility levels over time. Default filters include industry and function, but you can customize your data by changing these or adding a... View Details
    • January 2021 (Revised March 2021)
    • Supplement

    E-Commerce Analytics for CPG Firms (A): Estimating Sales

    By: Ayelet Israeli and Fedor (Ted) Lisitsyn
    The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
    Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
    Citation
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    Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Spreadsheet Supplement 521-712, January 2021. (Revised March 2021.)
    • June 2023
    • Simulation

    Artea Dashboard and Targeting Policy Evaluation

    By: Ayelet Israeli and Eva Ascarza
    Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
    Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
    Citation
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    Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
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