Publications

Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified which, the paper argues, have large consequences for the social order. The infrastructure that... View Details

May 2017 (Revised March 2018)
Case

Predicting Consumer Tastes with Big Data at Gap

By: Ayelet Israeli and Jill Avery

CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details

Article

A 5-Step Process to Get More Out of Your Organization's Data

By: Jon M. Jachimowicz

Keywords: Data

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Data Files

2012
Book

Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data

By: Thomas H. Davenport

This book, an edited collection of research papers from the International Institute of Analytics, addresses a wide variety of key topics in managing business analytics and big data at the enterprise level. It includes key applications of analytics, human and... View Details

Keywords: Business Analytics; Big Data; Business or Company Management; Analytics and Data Science; Management Practices and Processes; Mathematical Methods; Information Management

Web

Employment Data

Employment Data Employment Data Review HBS Hiring Trends Browse industry, function and location destinations and gain insights around compensation. Class of 2024 Career Data... View Details

March 5, 2020
Editorial

Murky Data Calls into Question Quarantine Strategy

By: Amar Bhide

Like sepsis, a life-threatening, uncontrolled immune response to infections, draconian efforts to contain the coronavirus outbreak may cause more harm than the infection itself. Yet the measures now paralysing the western world before many have actually died are based... View Details

Keywords: Coronavirus; Coronavirus Pandemic; Data; Health Pandemics; Data and Data Sets

27 Jan 2016
News

How Big Data Is Changing Disruptive Innovation

Keywords: big data; disruptive innovation

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

Article

Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies

By: John A. Deighton

The article discusses the notion of advertising as a profession in relation to the impact of digital analytics and data-driven marketing. Topics include the history of internet marketing, the investments of the content-driven internet firms Facebook Inc. and Google... View Details

Keywords: Data Science; Digital Marketing; Marketing; Internet and the Web; Analytics and Data Science; Disruption

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Data Appendix

September 2018
Case

Verisk: Trailblazing in the Big Data Jungle

By: Andrew Wasynczuk, Francesca Gino and Karim Sameh

This case revolves around Verisk Analytics' initiatives to drive innovation throughout the firm's many business verticals. Verisk, originally named ISO, started life as an insurance rating agency in the early 1970s, acting as an intermediary between insurance companies... View Details

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Micro Data

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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

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Data

2006
Book

Service Productivity Management: Improving Service Performance Using Data Envelopment Analysis

By: H. David Sherman and Joe Zhu

Here is an in-depth guide to the most powerful available benchmarking technique for improving service organization performance—Data Envelopment Analysis (DEA). The book outlines DEA as a benchmarking technique, identifies high cost service units, isolates specific... View Details

Keywords: Data Envelopment Analysis; Economics; Operations; Mathematical Methods

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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March 2021
Article

The Impact of the General Data Protection Regulation on Internet Interconnection

By: Ran Zhuo, Bradley Huffaker, KC Claffy and Shane Greenstein

The Internet comprises thousands of independently operated networks, where bilaterally negotiated interconnection agreements determine the flow of data between networks. The European Union’s General Data Protection Regulation (GDPR) imposes strict restrictions on... View Details

Keywords: Personal Data; Privacy Regulation; GDPR; Interconnection Agreements; Internet and the Web; Governing Rules, Regulations, and Reforms