Publications

May 2013
Teaching Note

Launching Krispy Natural: Cracking the Product Management Code (Brief Case)

By: Frank V. Cespedes and Heather Beckham

This case study concerns a review and interpretation of test market results for a new packaged good product. The purpose of the case is to provide students with practice and guidelines in the analysis of quantitative test market data while illustrating the roles of... View Details

Keywords: Analytics and Data Science; Analysis; Product Marketing

Purchase

November 1990
Case

Chemplan Corp.: Paint-Rite Division

By: Paul A. Vatter

An exercise with data that allows a discussion of regression analysis as a tool for forecasting and understanding structure. View Details

Keywords: Forecasting and Prediction; Framework; Analytics and Data Science; Mathematical Methods

23 Oct 2019
News

Preparing Leaders to Leverage Artificial Intelligence

as Competing on Business Analytics and Big Data. In 2018, HBS led the development of the online Harvard Business Analytics Program. This certificate program—taught by business, engineering, and statistics... View Details

Keywords: Intellectual Ambition; Pathbreaking Research; Artificial Intelligence

12 Apr 2018
Blog Post

Reading Between the Lines: How to Spot the Skills You Need Among the Resumes You Get

evidence of management ability and leadership potential, while Tamblyn probes for hard analytical skills. Yet both scrutinize resumes with the equivalent of “x-ray specs,” hoping to find hidden qualities that could be meaningful for their... View Details

Keywords: All Industries

2023
Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details

Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning

September 2016 (Revised March 2017)
Module Note

Strategy Execution Module 3: Using Information for Performance Measurement and Control

By: Robert Simons

This module reading explains how managers use information to control critical business processes and outcomes. The analysis begins by illustrating how managers use information to communicate goals and track performance. Then the focus turns to the choices that managers... View Details

Keywords: Management Control Systems; Implementing Strategy; Strategy Execution; Organization Process; Feedback Model; Innovation; Uses Of Information; Big Data; Benchmarking; Decision Making; Information; Performance Evaluation; Analytics and Data Science

Purchase

October 2000 (Revised April 2003)
Background Note

Project Finance Research, Data, and Information Sources

By: Benjamin C. Esty and Fuaad Qureshi

Documents the major sources of project finance research and data. It is to be a reference guide for MBA students writing for the elective curriculum course, Large-scale Investment, and for others interested in the field of project finance. View Details

Keywords: Analytics and Data Science; Project Finance; Research; Investment

27 Mar 2019
News

Life Is a Startup

between a passion and analytical thinking. How is it that they managed to pull this off and what can we all learn from that example? Wasserman: I remember observing when I was teaching in HBS’s first-year course in entrepreneurship, that... View Details

01 Jun 2005
News

Mookerjee Picked as First Director of New HBS India Research Center

Mookerjee recently served as managing director of Capital One’s Asia business ventures, based in Bangalore, India. When that assignment ended in June 2004, he decided to remain with his family in India and subsequently launched an View Details

Keywords: HBS; India Research Center; Colleges, Universities, and Professional Schools; Educational Services

21 Oct 2021
News

DraftKings Backs New VC Firm

and gaming, media and fan engagement, human performance, and data analytics and monetization.” The $60 million in initial funding, the Globe notes, includes capital from DraftKings as well as the ownership of the New England Patriots,... View Details

2025
Working Paper

Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna

This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details

Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India

2022
Working Paper

Small Campaign Donors

By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons

In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details

Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science

Article

Uninformed Consent

By: Leslie K. John

Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy? View Details

Keywords: Personal Data; Privacy; Customers; Analytics and Data Science; Ethics; Governing Rules, Regulations, and Reforms

winter 2003
Article

Massively Categorical Variables: Revealing the Information in Zip Codes

We introduce the idea of a massively categorical variable, a variable such as zip code that takes on too many values to be treated in the standard manner, and show how to use it directly as explanatory variables in an econometric model. In an application of this... View Details

Keywords: Strategy; Analytics and Data Science; Behavior; Marketing; Standards; Finance