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(6,737)
- News (1,207)
- Research (4,365)
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- Faculty Publications (2,983)
Show Results For
- All HBS Web
(6,737)
- News (1,207)
- Research (4,365)
- Events (115)
- Multimedia (63)
- Faculty Publications (2,983)
- August 2020
- Technical Note
Comparing Two Groups: Sampling and t-Testing
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
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.
- January 1995
- Article
Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term
By: A. E. Roth and I. Erev
Roth, A. E., and I. Erev. "Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term." Special Issue on Nobel Symposium. Games and Economic Behavior 8 (January 1995): 164–212.
- 18 Dec 2024
- Podcast
Using AI and Satellite Data to Transform Agriculture: A Conversation with Alyssa Whitcraft
Dr. Alyssa Whitcraft is a professor at University of Maryland and a leading expert in agricultural remote sensing and climate adaptation. Dr. Whitcraft discusses her journey from co-founding NASA Harvest, a global program addressing food security with satellite data,... View Details
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
- 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
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).
- 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
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.)
- 17 Dec 2015
- News
New Research: Big Data Offers New Possibilities for City Planners
- 11 Apr 2012
- News
5 Founder Lessons From a Decade of Data on Startups
- 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
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.)
- Article
Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis
By: R. Metters, F. Frei and V. Vargas
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.
- 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
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies
Speaker's Box, Journal of Advertising Research
“Speaker’s Box” invites academics and practitioners to identify potential areas of research affecting marketing and advertising. Its intention is to bridge the gap between the length... View Details
- 21 Jun 2018
- Video
KPMA HBX Live: Cracking the Data Aggregation Problem - Paul Giusti
- 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
- 1979
- Chapter
Research Methods and Data Analysis: The Challenge of Knowing How to Do What About Why
By: T. M. Amabile and W. DeJong
- February 1996
- Article
Explaining the Term Structure of Interest Rates: A Panel Data Approach
By: E. S. Mayfield and R. Murphy
Mayfield, E. S., and R. Murphy. "Explaining the Term Structure of Interest Rates: A Panel Data Approach." Journal of Economics and Business 48, no. 1 (February 1996): 11–21.