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May 2018
Case

The Multiple Myeloma Research Foundation's Answer Fund

By: Richard G. Hamermesh and Matthew G. Preble

Teaching Interest

Data Science for Managers

By: Dennis Campbell

Data science has become the new language of business. Many roles across the enterprise in finance, marketing, human resources, operations, innovation, and strategy now rely heavily on data science for important managerial decisions. Given the increasing ubiquity and... View Details

May 1983 (Revised December 1987)
Case

Technical Data Corp.

By: William A. Sahlman

Describes a decision confronting the president of a small company about selling some or all of the shares in his company to another firm. Technical Data Corp. provides analytical services to professional bond market traders over a system of computer terminals operated... View Details

Keywords: Stocks; Entrepreneurship; Business Startups; Internet and the Web; Information Infrastructure; Mobile and Wireless Technology; Valuation; Negotiation Tactics; Mergers and Acquisitions; Corporate Strategy; Horizontal Integration; Information Industry; Service Industry

February 2018
Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details

Keywords: Analytics and Data Science; Forecasting and Prediction; Recruitment; Analysis

Fall 2012
Article

How 'Big Data' Is Different

Many people today in the information technology world and in corporate boardrooms are talking about "big data." Many believe that, for companies that get it right, big data will be able to unleash new organizational capabilities and value. But what does the term "big... View Details

Keywords: Big Data; Analytics; Mathematical Methods; Information Management; Information Technology Industry

February 2017
Case

Yemeksepeti: Growing and Expanding the Business Model through Data

By: William R. Kerr, Gamze Yucaoglu and Eren Kuzucu

In October 2016, Nevzat Aydin, co-founder and CEO of Yemeksepeti, the Turkish online food-ordering company, was looking over the company's quarterly results and projections for the upcoming year with his management team. It had been almost a year and a half since Aydin... View Details

May 2020
Article

Inventory Auditing and Replenishment Using Point-of-Sales Data

By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos

Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an... View Details

Keywords: Shelf Availability; Inventory Record Inaccuracy; Optimal Replenishment; Retail Analytics; Performance Effectiveness; Analysis; Mathematical Methods

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March 2020
Article

Diagnosing Missing Always at Random in Multivariate Data

By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin

Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details

Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods

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April 2020
Case

Ment.io: Knowledge Analytics for Team Decision Making

By: Yael Grushka-Cockayne, Jeffrey T. Polzer, Susie L. Ma and Shlomi Pasternak

Ment.io was a software platform that used proprietary data analytics technology to help organizations make informed and transparent decisions based on team input. Ment was born out of founder Joab Rosenberg’s frustration that, while organizations collected ever... View Details

Keywords: Decision Making; Information Technology; Knowledge; Knowledge Acquisition; Knowledge Management; Operations; Information Management; Product; Product Development; Entrepreneurship; Business Startups; Communications Industry; Information Industry; Information Technology Industry; Web Services Industry; Middle East; Israel

Article

Gathering Data for Archival, Field, Survey, and Experimental Accounting Research

By: Robert Bloomfield, Mark W. Nelson and Eugene F. Soltes

In the published proceedings of the ﬁrst Journal of Accounting Research Conference, Vatter (1966) lamented that “Gathering direct and original facts is a tedious and difﬁcult task, and it is not surprising that such work is avoided.” For the 50th JAR Conference,... View Details

Keywords: Archival; Data; Experiment; Empirical Methods; Field Study; Analytics and Data Science; Surveys; Financial Reporting

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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

April 29, 2014
Column

Corporate Reporting in the Big Data Era

By: George Serafeim

Advancements in information technology can improve corporate communication with shareholders, but not through incessant data dumps. Instead, companies will more likely be poised for continued success if they use digital platforms for long-term oriented engagement and... View Details

Keywords: Integrated Reporting; Big Data; Corporate Reporting; Sustainability; Corporate Social Responsibility; Corporate Governance; Accounting; Reporting; Organizational Change and Adaptation; Corporate Accountability; Analytics and Data Science; Information Technology; Communication; Financial Reporting; Business and Shareholder Relations

August 2015 (Revised May 2017)
Case

TSG Hoffenheim: Football in the Age of Analytics

By: Feng Zhu, Karim R. Lakhani, Sascha L. Schmidt and Kerry Herman

In 2015, Dietmar Hopp, owner of Germany's Bundesliga football team TSG Hoffenheim and co-founder of the global enterprise software company SAP, was considering how to ensure long-term sustainability and competitiveness for TSG Hoffenheim. While historically a small... View Details

Keywords: Information Technology; Measurement and Metrics; Sports; Sports Industry

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

December 2022
Article

The Rise of People Analytics and the Future of Organizational Research

By: Jeff Polzer

Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,... View Details

Keywords: Organizational Change and Adaptation; Analytics and Data Science; Technology Adoption; Employees

Teaching Interest

Data Science for Managers

Served as a teaching fellow; assisted MBA students with classroom coding exercises.
Developed course materials, including new case studies, technical notes, and code notebooks students used to analzye case data.
Developed interactive web... View Details

Article

Core Earnings: New Data and Evidence

By: Ethan Rouen, Eric C. So and Charles C.Y. Wang

Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details

Keywords: Core Earnings; Transitory Earnings; Non-operating Earnings; Quantitative Disclosures; Equity Valuation; Big Data; Business Earnings; Financial Reporting; Valuation; Analytics and Data Science

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December 2017
Teaching Note

Yemeksepeti: Growing and Expanding the Business Model through Data

By: William R. Kerr and Alexis Brownell

Teaching Note for HBS No. 817-095. View Details

Keywords: Turkey; Internet; Online Ordering; Restaurants; Big Data; Entrepreneurship; Analytics and Data Science; Internet and the Web; Growth and Development Strategy; Food and Beverage Industry; Turkey

December 2020
Supplement

VIA Science (B)

By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman

Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details

Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan

February 2021
Tutorial

Getting Started in RStudio Cloud

By: Chiara Farronato and Caleb Kwon

This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details

Keywords: Data Analysis; Data Analytics; Experiment; Experimental Design; Analytics and Data Science; Analysis; Applications and Software

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