Publications

February 2011
Supplement

Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)

By: Dennis Campbell and Francisco de Asis Martinez-Jerez

Datasets of gaming and hotel customers to perform analysis for the case. View Details

Keywords: Analytics and Data Science; Games, Gaming, and Gambling; Las Vegas

09 Dec 2015
Research Event

How Do You Predict Demand and Set Prices For Products Never Sold Before?

explained that the world of business analytics includes descriptive analytics (analyzing what has happened), predictive analytics (analyzing data to figure out what will... View Details

Keywords: by Carmen Nobel; Retail; Apparel & Accessories

Web

Tools & Services | Information Technology

about web design, implementation, management, and support at HBS. Data, Reporting, & Analytics Explore IT supported reporting and analytics platforms for HBS community information assets. Deliver We ensure... View Details

April 2001
Article

Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration

By: T. M. Amabile, C. Patterson, Jennifer Mueller, T. Wojcik, P. Odomirok, M. Marsh and S. Kramer

We present a case of academic-practitioner research collaboration to illuminate three potential determinants of the success of such cross-profession collaborations: collaborative team characteristics, collaboration environment characteristics, and collaboration... View Details

Keywords: Research; Cases; Analytics and Data Science; Theory

2022
Article

Data Poisoning Attacks on Off-Policy Evaluation Methods

By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details

Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods

Career Coach

Phil Wong

cross-sector and cross-asset class team focused on data-driven decision making, and launching an internal portfolio analytics platform. Phil’s journey to becoming a HBS career coach included work with Professor Perlow’s Crafting Your Life... View Details

Keywords: Entrepreneurship; Corporate Finance; Financial Services (All); Investment Banking; Financial Services (All); Investment Management; Financial Services (All); Private Equity; Financial Services (All); Venture Capital; Financial Services (All); Health Care; Startup - Founder; Entrepreneurship

26 Jul 2018
News

Running the Numbers

people to buy into a new vision or better way of doing things is my favorite kind of challenge.” Today, as CEO of the Kraft Analytics Group (KAGR), a Massachusetts-based tech-intensive company focused on data management, strategic... View Details

Keywords: Deborah Blagg

June 2018 (Revised January 2019)
Background Note

Visualizing Data & Effective Communication

By: Srikant M. Datar and Caitlin N. Bowler

This note explores three specific ways an analyst can use visualization. Section 1 considers visualization to explore data. Section 2 discusses visualization as a tool for developing a deeper understanding of trends and phenomena encoded in the data. Section 3... View Details

Keywords: Data Visualization; Graphical Guidelines; Charts; Analytics and Data Science; Communication

Educators

March 2022 (Revised January 2025)
Technical Note

Exploratory Data Analysis

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details

Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis

Educators

2020
Working Paper

A General Theory of Identification

By: Iavor Bojinov and Guillaume Basse

What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree on a definition in the context of parametric statistical models — roughly, a parameter θ in a model P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details

Keywords: Identification; Econometric Models; Analytics and Data Science; Theory

November 1998
Article

Modeling Large Data Sets in Marketing

By: Sridhar Balasubramanian, Sunil Gupta, Wagner Kamakura and Michel Wedel

Keywords: Analytics and Data Science; Marketing

May–June 2025
Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami

We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details

Keywords: Mathematical Methods; Analytics and Data Science

2024
Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details

Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods

SSRN

May 8, 2020
Article

Which Covid-19 Data Can You Trust?

By: Satchit Balsari, Caroline Buckee and Tarun Khanna

The COVID-19 pandemic has produced a tidal wave of data, but how much of it is any good? And as a layperson, how can you sort the good from the bad? The authors suggest a few strategies for dividing the useful data from the misleading: Beware of data that’s too broad... View Details

Keywords: COVID-19 Pandemic; Health Pandemics; Analytics and Data Science

Register to Read

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

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