Exploratory Data Analysis - Publications - Faculty & Research - Harvard Business School

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Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market

The prevalence of online platforms opens new doors to traditional businesses for customer reach and revenue growth. This research investigates platform competition in a setting where prices are determined by negotiations between platforms and businesses. We compile a... View Details

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales

By: Ayelet Israeli

April 2012
Article

Bouncing Out of the Banking System: An Empirical Analysis of Involuntary Bank Account Closures

By: Dennis Campbell, F. Asis Martinez-Jerez and Peter Tufano

Using a new database, we document the factors that relate to the extent of involuntary consumer bank account closure resulting from excessive overdraft activity. Consumers who have accounts involuntarily closed for overdraft activity may have limited or no access to... View Details

Keywords: Mathematical Methods; Customers; Social Issues; Outcome or Result; Budgets and Budgeting; Forecasting and Prediction; Competition; Banks and Banking; Policy; Personal Characteristics; Credit; Employment; United States

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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

Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

February 2015
Other Article

Evaluating the Impact of the Baby-Friendly Hospital Initiative on Breast-feeding Rates: A Multi-state Analysis

By: Summer Sherburne Hawkins, Ariel Dora Stern, Christopher F. Baum and Matthew W. Gillman

Objectives: Despite the passage of state laws promoting breast feeding, a formal evaluation has not yet been conducted to test whether and/or what type of laws may increase breast feeding. The enactment of breastfeeding laws in different states in the USA creates a... View Details

Keywords: Race; Nutrition; Laws and Statutes; United States

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July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

By: Ayelet Israeli

The Air War Versus The Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections

This study jointly examines the effects of television advertising and field operations in U.S. presidential elections, with the former referred to as the “air war” and the latter as the “ground game.” Specifically, the study focuses on how different campaign... View Details

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

By: Ayelet Israeli

Web

Research & Data Services for HBS Faculty & Doctoral Students | Baker Library

(Capital IQ excel plug-in, Crunchbase Premium, Morningstar Direct), converting documents to machine-readable files (ABBYY FineReader, Bookeye document scanner), statistical analysis (SAS, StataMP, StatTransfer, R and R Studio),... View Details

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to Artea Teaching Note 521-041. 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; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

August 2019
Case

Bark Gift Shop Ltd.

By: Susanna Gallani, Jan Bouwens and Peter Kroos

This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details

Keywords: Data Analytics; Employees; Behavior; Performance; Management; Goals and Objectives; Motivation and Incentives; Analysis

July 2018 (Revised June 2020)
Case

The Boston Cranberry Company

By: Alan MacCormack

This case describes the operations of a fictitious company that processes Cranberries. The case contains data that allows students to calculate the bottleneck stage in production, and to evaluate alternative investment options for increasing cranberry processing... View Details

Keywords: Process Analysis; Plant Management; Operations; Production; Management; Analysis; Performance Capacity; Investment

August 2018 (Revised September 2018)
Supplement

Predicting Purchasing Behavior at PriceMart (B)

By: Srikant M. Datar and Caitlin N. Bowler

Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction

August 2018 (Revised September 2018)
Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details

Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

September 2013
Teaching Note

The Case of the Unidentified Industries—2013

By: Mihir A. Desai, William E. Fruhan, Jr. and Elizabeth A. Meyer

Helps students to understand how the characteristics of a business are reflected in its financial statements. This case consists of an exercise in which students are given balance sheet data in percentage form and other selected financial data for companies in 14... View Details

Keywords: Financial Management; Accounting Statements; Ratio Analysis; Financial Statements; Finance

November 2017
Article

A Retrospective Analysis of Hypertension Screening at a Mass Gathering in India: Implications for Non-communicable Disease Control Strategies

By: S. Balsari, P. Vemulapalli, M. Gofine, K. Oswal, R. Merchant, S. Saunik, G. Greenough and T. Khanna

Cardiovascular disease is the leading cause of mortality from noncommunicable diseases (NCD) in India. The government’s National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke seeks to increase capacity building, screening,... View Details

Keywords: Health Disorders; Health Care and Treatment; Problems and Challenges; India

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September 2019 (Revised January 2021)
Case

Vispera: Visual Intelligence for Retail

By: Yael Grushka-Cockayne and Gamze Yucaoglu

The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company’s agenda trying to decide how to prioritize the impeding options. The case chronicles the founding of Vispera, the... View Details

Keywords: Computer Vision Technology; Visual Analysis; Retail; Information Technology; Business Model; Operations; Performance Efficiency; Competitive Strategy; Decision Choices and Conditions; Global Strategy; Technology Industry; Retail Industry; Turkey

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

September 2009
Article

A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement

By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill

Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details

Keywords: Experience and Expertise; Health Care and Treatment; Medical Specialties; Outcome or Result; Performance Efficiency; Performance Improvement

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September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli

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 targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

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

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