Analytics and Data Science - Publications - Faculty & Research - Harvard Business School

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February 2001 (Revised April 2001)
Background Note

Note on Valuing Private Businesses

By: Dwight B. Crane and Indra Reinbergs

This case provides a brief overview of valuation for owners of closely held companies. The focus is on a comparable transactions approach, although rules of thumb and discounted cash flow are mentioned. Earnings multiples and their drivers are discussed. It uses... View Details

Keywords: Earnings Management; Finance; Cash Flow; Analytics and Data Science; Private Ownership; Valuation

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:... View Details

Keywords: by Sarah Jane Gilbert

March–April 2023
Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis

Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details

Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing

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2025
Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details

Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science

February 2021
Technical Note

Probability Distributions

By: Michael Parzen and Paul Hamilton

This technical note introduces students to the concept of random variables, and from there the normal and binomial distributions. After a brief introduction to random variables, the note describes the standard properties of the normal distribution: a single peak, and a... View Details

Keywords: Analysis; Risk and Uncertainty; Theory; Analytics and Data Science

Zhongming Jiang

Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details

2012
Article

Do Voters Demand Responsive Governments? Evidence from Indian Disaster Relief

By: Shawn Cole, Andrew Healy and Eric Werker

Using rainfall, public relief, and election data from India, we examine how governments respond to adverse shocks and how voters react to these responses. The data show that voters punish the incumbent party for weather events beyond its control. However, fewer voters... View Details

Keywords: Political Elections; System Shocks; Natural Disasters; Policy; Motivation and Incentives; Public Opinion; India

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June 2021
Article

From Predictions to Prescriptions: A Data-driven Response to COVID-19

By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details

Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science

June 1982 (Revised May 1995)
Case

Ellis Manufacturing Co.

By: Roy D. Shapiro

Ellis finds itself in a weakening competitive position largely due to the lack of rationalization in its plants. Driven by a strong traditionally decentralized sales organization, Ellis finds that all plants want control over all product lines. As a result, overall... View Details

Keywords: Factories, Labs, and Plants; Cost; Analytics and Data Science; Brands and Branding; Performance Capacity; Competitive Strategy; Construction Industry

28 Jan 2016
News

What Flint's Water Crisis Means For The Future of U.S. Cities

November 22, 2022
Article

Is Novel Research Worth Doing? Evidence from Peer Review at 49 Journals

By: Misha Teplitskiy, Hao Peng, Andrea Blasco and Karim R. Lakhani

There are long-standing concerns that peer review, which is foundational to scientific institutions like journals and funding agencies, favors conservative ideas over novel ones. We investigate the association between novelty and the acceptance of manuscripts submitted... View Details

Keywords: Research; Journals and Magazines

March 2024
Supplement

Madrigal: Conducting a Customer-Base Audit

By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross

This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details

Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States

March 2022
Supplement

Winning Business at Russell Reynolds (B)

By: Ethan Bernstein and Cara Mazzucco

In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details

16 Jun 2020
News

Why Do People Avoid Facts That Could Help Them?

March 2024
Supplement

Madrigal: Conducting a Customer-Base Audit

By: Eva Ascarza, Peter Fader, Bruce G.S. Hardie and Michael Ross

This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details

Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States

2020
Working Paper

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details

Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis

January 2021
Case

Bespoken Spirits: Disrupting Distilling

By: Benjamin C. Esty and Daniel Fisher

On October 7, 2020, Bespoken Spirits publicly announced it had received $2.6 million of seed funding for its “sustainable maturation process,” a process that could produce award-winning whiskeys in just days rather than years using a novel technology and data science. ... View Details

Keywords: Business Ventures; Business Strategy; Competitive Advantage; Disruption; Entrepreneurship; Environmental Sustainability; Cash Flow; Disruptive Innovation; Innovation Strategy; Brands and Branding; Business Model; Consumer Products Industry; Food and Beverage Industry; Service Industry; United States; California

March 2024
Supplement

Madrigal: Conducting a Customer-Base Audit

By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross

This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details

Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States

2023
Working Paper

PRIMO: Private Regression in Multiple Outcomes

We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details

Keywords: Analytics and Data Science; Mathematical Methods

21 Dec 2010
First Look

First Look: December 21

lead to reduced economic productivity subsequent to exposure to temptation. Using a design inspired by the classic "Marshmallow Test," we report data from a field experiment in which children between the ages of 6 View Details

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