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

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2011
Working Paper

Inside the Black Box of the Corporate Staff: An Exploratory Analysis Through the Lens of E-Mail Networks

The corporate staff is central in theories of the multi-business firm, but empirical evidence on its function is limited. In this paper, we examine the high-level role of two units of a corporate staff through analysis of electronic communications. We find sharp... View Details

Keywords: Theory; Business Ventures; Internet and the Web; Communication; Employment; Management Teams; Networks

November 2019
Article

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park

This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details

Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry

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August 2018 (Revised September 2018)
Case

LendingClub (A): Data Analytic Thinking (Abridged)

By: Srikant M. Datar and Caitlin N. Bowler

LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details

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

July 2020
Case

Applying Data Science and Analytics at P&G

By: Srikant M. Datar, Sarah Mehta and Paul Hamilton

Set in December 2019, this case explores how P&G has applied data science and analytics to cut costs and improve outcomes across its business units. The case provides an overview of P&G’s approach to data management and governance, and reviews the challenges associated... View Details

Keywords: Data Science; Analytics; Analysis; Information; Information Management; Information Types; Innovation and Invention; Strategy; Analytics and Data Science; Consumer Products Industry; United States; Ohio

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 2018 (Revised June 2018)
Case

Cowen Inc.: Leveraging Data

By: Boris Groysberg, Sarah Abbott and Annelena Lobb

Cowen Inc.’s broker-dealer, Cowen and Company, LLC, boasted a number of analysts who had made prescient stock calls on the basis of creative data analysis. Now Cowen Inc. had opened a new subsidiary, Kyber, which would attempt to monetize new data science products.... View Details

Keywords: Data Science; Equity Research; Research Analysts; Investment; Analytics and Data Science; Equity; Research; Analysis; Competitive Strategy

February 2018 (Revised June 2021)
Case

New Constructs: Disrupting Fundamental Analysis with Robo-Analysts

By: Charles C.Y. Wang and Kyle Thomas

This case highlights the business challenges associated with a financial technology firm, New Constructs, that created a technology that can quickly parse complicated public firm financials to paint a clearer economic picture of firms, remove accounting distortions,... View Details

Keywords: Fundamental Analysis; Machine Learning; Robo-analysts; Financial Statements; Financial Reporting; Analysis; Information Technology; Accounting Industry; Financial Services Industry; Information Technology Industry; North America; Tennessee

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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February 2021 (Revised May 2021)
Case

SafeGraph: Selling Data as a Service

By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover

Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on... View Details

Keywords: Data As A Service; Monetization; Pricing; Business Startups; Analytics and Data Science; Consumer Behavior; Analysis; Business Model; Health Pandemics; Information Industry; United States

16 Jul 2013
Working Paper Summaries

Visualizing and Measuring Enterprise Architecture: An Exploratory BioPharma Case

Keywords: by Robert Lagerstrom, Carliss Baldwin, Alan MacCormack & David Dreyfus

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

Article

Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis

By: R. Metters, F. Frei and V. Vargas

Keywords: Measurement and Metrics; Data and Data Sets; Service Industry

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February 2021 (Revised February 2021)
Background Note

eGrocery and the Role of Data for CPG Firms

By: Ayelet Israeli, Fedor (Ted) Lisitsyn and Mark A. Irwin

This notes provides information about the eGrocery industry and how traditional CPG companies handle this channel and potential data. It is recommended to use together with a series of exercises entitled: "E-Commerce Analytics for CPG Firms (A), (B), and (C)." View Details

2022
Working Paper

Where the Cloud Rests: The Location Strategies of Data Centers

By: Shane Greenstein and Tommy Pan Fang

This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details

Keywords: Cloud Computing; Location Strategies; Data Centers; Information Infrastructure

21 Sep 2022
News

Data Analysis and Intelligent Policy Design—Not Good Intentions—Will Fix Health Care Post COVID

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details

July 2022
Teaching Note

eGrocery and the Role of Data and E-Commerce Analytics for CPG Firms

By: Ayelet Israeli

Teaching Note for HBS Case No. 521-077. View Details

2013
Working Paper

Visualizing and Measuring Enterprise Architecture: An Exploratory BioPharma Case

By: Robert Lagerstrom, Carliss Baldwin, Alan MacCormack and David Dreyfus

We test a method that was designed and used previously to reveal the hidden internal architectural structure of software systems. The focus of this paper is to test if it can also uncover new facts about the components and their relationships in an enterprise... View Details

Keywords: Complexity; Applications and Software; Product Design; Pharmaceutical Industry

Research Summary

Managerial Decision Analysis

By: David E. Bell

David E. Bell and Arthur Schleifer, Jr. are concluding a multiyear project aimed at producing more field-oriented case material for the Managerial Economics course, specifically, materials on decision, data, and risk analysis. A series of case- and textbooks (with... View Details

August 2016 (Revised November 2019)
Case

eSig: Growth Analysis

By: Mark Roberge and Tom Eisenmann

eSig, an early-stage startup, offers an electronic signature application as a "freemium" product, i.e., users can upgrade from a free basic version to a premium version by paying a subscription fee. Using 9 months of data from 50,000 user activations (available as a... View Details

Keywords: Esignature; Computer Software; Business or Company Management; Marketing Channels; Applications and Software; Business Startups; Computer Industry

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