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  • All HBS Web  (1,388)
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  • All HBS Web  (1,388)
    • News  (133)
    • Research  (1,000)
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    • Multimedia  (2)
  • Faculty Publications  (487)
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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
Keywords: Entrepreneurial Management; Entrepreneurial Ventures; Turkey; Big Data; Customer Focused Organization; Service Management; Continuous Improvement; Data Analysis; Internet; Growth Strategy; Technological Change; Information Systems; Entrepreneurship; Corporate Strategy; Analytics and Data Science; Analysis; Customer Focus and Relationships; Emerging Markets; Service Operations; Competitive Advantage; Performance Improvement; Internet and the Web; Growth and Development Strategy; Information Technology; Value Creation; Food and Beverage Industry; Turkey
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Kerr, William R., Gamze Yucaoglu, and Eren Kuzucu. "Yemeksepeti: Growing and Expanding the Business Model through Data." Harvard Business School Case 817-095, February 2017.
  • 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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Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
  • 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
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Wang, Charles C.Y., and Kyle Thomas. "New Constructs: Disrupting Fundamental Analysis with Robo-Analysts." Harvard Business School Case 118-068, February 2018. (Revised June 2021.)
  • 2011
  • Chapter

Health Care Applications: From Hospitals to Physicians, from Productive Efficiency to Quality Frontiers

By: Jon Chilingerian and H. David Sherman
This chapter focuses on health-care applications of DEA. The paper begins with a brief history of health applications and discusses some of the models and the motivation behind the applications. Using DEA to develop quality frontiers in health services is offered as a... View Details
Keywords: Data Envelopment Analysis; Physicians; Hospitals; HMOs; Frontier Analysis; Efficiency; Health Care and Treatment; Performance; Quality
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Chilingerian, Jon, and H. David Sherman. "Health Care Applications: From Hospitals to Physicians, from Productive Efficiency to Quality Frontiers." Chap. 16 in Handbook on Data Envelopment Analysis. 2nd edition Vol. 164, edited by William W. Cooper, Lawrence M. Seiford, and Joe Zhu, 445–493. International Series in Operations Research & Management Science. New York, NY: Springer, 2011.
  • 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
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Nanda, Ramana, Abhishek Nagaraj, and Allison Ciechanover. "SafeGraph: Selling Data as a Service." Harvard Business School Case 821-082, February 2021. (Revised May 2021.)
  • 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
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
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Israeli, Ayelet, Fedor (Ted) Lisitsyn, and Mark A. Irwin. "eGrocery and the Role of Data for CPG Firms." Harvard Business School Background Note 521-077, February 2021. (Revised February 2021.)
  • 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
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Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
  • 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
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Greenstein, Shane, and Tommy Pan Fang. "Where the Cloud Rests: The Location Strategies of Data Centers." Harvard Business School Working Paper, No. 21-042, September 2020. (Revised June 2022.)
  • 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
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
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Israeli, Ayelet. "eGrocery and the Role of Data and E-Commerce Analytics for CPG Firms." Harvard Business School Teaching Note 523-012, July 2022.
  • August 2016 (Revised November 2019)
  • Supplement

eSig: Growth Analysis

By: Mark N. Roberge and Thomas R. 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; Entrepreneurship; Business Startups; Management; Marketing Channels; Applications and Software; Computer Industry; United States
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Roberge, Mark N., and Thomas R. Eisenmann. "eSig: Growth Analysis." Harvard Business School Spreadsheet Supplement 817-701, August 2016. (Revised November 2019.)
  • January 1983 (Revised January 1998)
  • Background Note

Note on Analyzing BGIE Data

Introduces students to the process of data analysis in Business, Government, and the International Economy (BGIE) cases. Uses examples from Selected U.S. Statistics: Part I. View Details
Keywords: Data and Data Sets; Analysis
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Rukstad, Michael G. "Note on Analyzing BGIE Data." Harvard Business School Background Note 383-094, January 1983. (Revised January 1998.)
  • 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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Roberge, Mark, and Tom Eisenmann. "eSig: Growth Analysis." Harvard Business School Case 817-009, August 2016. (Revised November 2019.)
  • April 2006
  • Background Note

Informing Service Management with Customer Data

By: Frances X. Frei and Dennis Campbell
Taught as the third module in a Harvard Business School course on Managing Service Operations. Explores the role of data analysis in ongoing service management. Describes how to realize the maximum amount of value from analyses and use this information in... View Details
Keywords: Decision Making; Design; Analytics and Data Science; Service Operations; Mathematical Methods; Value
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Frei, Frances X., and Dennis Campbell. "Informing Service Management with Customer Data." Harvard Business School Background Note 606-097, April 2006.
  • October 1993 (Revised August 1996)
  • Background Note

Forecasting with Regression Analysis

By: Arthur Schleifer Jr.
Provides an example of regression in one of its most important roles. Relating probabilistic forecasts based on past data to decision analysis. View Details
Keywords: Management Analysis, Tools, and Techniques; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods
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Schleifer, Arthur, Jr. "Forecasting with Regression Analysis." Harvard Business School Background Note 894-007, October 1993. (Revised August 1996.)
  • 2007
  • Text Book

Business Analysis and Valuation: Using Financial Statements

By: Paul M. Healy and Krishna G. Palepu
Financial statements are the basis for a wide range of business analysis. Managers, securities analysts, bankers, and consultants all use them to make business decisions. There is strong demand among business students for course materials that provide a framework for... View Details
Keywords: Valuation; Framework; Decision Choices and Conditions; Financial Statements
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Healy, Paul M., and Krishna G. Palepu. Business Analysis and Valuation: Using Financial Statements. 4th ed. Mason, OH: Thomson South-Western, 2007.
  • August 2021 (Revised February 2024)
  • Case

Data Science at the Warriors

By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
Keywords: Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Analytics and Data Science; Sports Industry; San Francisco; United States
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Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised February 2024.)
  • August 2017 (Revised August 2018)
  • Case

The Oakland Athletics: Strategy & Metrics for a Budget

By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
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Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
  • October 2002 (Revised February 2003)
  • Case

Administrative Data Project (A)

By: Lynda M. Applegate and Donald E. Heller
Encourages analysis of the implementation of a large technical infrastructure and process transformation project within a university setting. Enables an instructor to teach change management, leadership, and technical project management skills. View Details
Keywords: Teaching; Change Management; Management Practices and Processes; Transformation; Learning; Competency and Skills; Leadership Development; Non-Governmental Organizations; Education Industry
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Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (A)." Harvard Business School Case 803-051, October 2002. (Revised February 2003.)
  • 2015
  • Book

Economic Analysis of the Digital Economy

By: Avi Goldfarb, Shane Greenstein and Catherine Tucker
As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on economic... View Details
Keywords: Information Technology; Economics
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Goldfarb, Avi, Shane Greenstein and Catherine Tucker, eds. Economic Analysis of the Digital Economy. University of Chicago Press, 2015.
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