data analytics - Publications - Faculty & Research - Harvard Business School

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2022
Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju

As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods

Web

Marketing - Faculty & Research

Models ; Large Language Model ; Generative Ai ; Artificial Intelligence ; Market Research ; Research ; Marketing ; AI and Machine Learning ; Analytics and Data Science ; Analysis ; Customers ; Consumer... View Details

October 2007
Article

Supply and Demand Shifts in the Shorting Market

By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy

Using proprietary data on stock loan fees and quantities from a large institutional investor, we examine the link between the shorting market and stock prices. Employing a unique identification strategy, we isolate shifts in the supply and demand for shorting. We find... View Details

Keywords: Analytics and Data Science; Stocks; Financing and Loans; Price; Strategy; Demand and Consumers; Forecasting and Prediction; Investment Return; Markets; Information

Find at Harvard

2015
Working Paper

Online Word of Mouth and Product Review Disagreement

By: Frank Nagle and Christoph Riedl

Studies of online word of mouth have frequently posited―but never systematically conceptualized and explored―that the level of disagreement between existing product reviews can impact the volume and the valence of future reviews. In this study we develop a theoretical... View Details

Keywords: Online Word Of Mouth; Online Communities; Viral Marketing; Online Product Reviews; Quality; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Social and Collaborative Networks; Digital Marketing; Analytics and Data Science

31 Jan 2022
Research & Ideas

Where Can Digital Transformation Take You? Insights from 1,700 Leaders

decisions. Analytics are important, but judgment and critical thinking ultimately set the roadmap. All employees, not just the data scientists, use data to develop new insights... View Details

Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards

08 Jun 2010
First Look

First Look: June 8

PublicationsThe New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance Authors:Marshall Fisher and Ananth Raman Publication:Harvard Business School Press, 2010 Abstract Retailers today are... View Details

Keywords: Martha Lagace

October 1993 (Revised September 1994)
Background Note

Accounting for Productivity Growth

By: Forest L. Reinhardt

Introduces students to the arithmetic of the accounting for national productivity growth. It defines labor productivity, capital productivity, and total factor productivity, describes the relationships among them, and discusses the phenomena that cause them to change... View Details

Keywords: Performance Productivity; Macroeconomics; Analytics and Data Science; Government and Politics; Mathematical Methods; United States; Singapore

July 2023
Article

Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet

In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details

Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science

February 2022
Teaching Plan

Community Solutions

By: Brian Trelstad and Tom Quinn

Teaching Plan for HBS Case No. 322-021. Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached... View Details

Keywords: Homelessness; Social Issues; Housing; Human Needs; Poverty; Welfare; Business and Community Relations; Analytics and Data Science; Business Strategy; Corporate Social Responsibility and Impact; Philanthropy and Charitable Giving

Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic

Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details

Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History

April 2025 (Revised April 2025)
Case

JPMorganChase: Leadership in the Age of GenAI

By: Iavor I. Bojinov, Karim R. Lakhani and David Lane

This case study examines JPMorgan Chase's (JPMC) journey in adopting and implementing Generative AI (GenAI) following the release of ChatGPT. It outlines JPMC's initial cautious approach focused on data security, followed by strategic investments in internal platforms... View Details

June 2021
Technical Note

Introduction to Linear Regression

By: Michael Parzen and Paul Hamilton

This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details

Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science

March 2024
Teaching Note

Madrigal: Conducting a Customer-Base Audit

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

Teaching Note for HBS Case No. 524-046. 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... View Details

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

March 2022
Case

GrowSari (A): Design for the Last Mile Customer

By: Brian Trelstad, Cam Carag and Michi Ferreol

Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed to decide how to proceed. The pair,... View Details

Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines

Web

Podcast - Business & Environment

which in turn lowers energy costs and lessens climate impact. He also discusses how smart data analytics can identify energy-saving opportunities and the importance of AI in optimizing energy usage patterns.... View Details

30 Nov 2015
HBS Seminar

Soroush Saghafian, Assistant Professor of Public Policy - Harvard Kennedy School, Harvard University

2017
Working Paper

The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond

By: Josh Lerner

Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details

Keywords: Patents; Analytics and Data Science; Corporate Finance; Research; Problems and Challenges

April 2021
Case

Glass-Shattering Leaders: Ros Atkins

By: Boris Groysberg and Colleen Ammerman

Ros Atkins launched the 50:50 Project on a BBC news program he anchored, deciding with his team to start tracking the gender of the contributors and experts featured on the show. Before long, it was clear that monitoring the data led to increased awareness of a gender... View Details

Keywords: Gender Equality; Allyship; Representation; Leadership; Gender; Equality and Inequality; Media; Analytics and Data Science

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details

Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

March 2022
Supplement

GrowSari (B)

By: Brian Trelstad, Cam Carag and Michi Ferreol

Case supplement for HBS Case No. 322-036. Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed... View Details

Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines

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