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  • 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.)
  • September 2002 (Revised February 2012)
  • Background Note

Europe: Data Supplement, 1950-2011

By: Huw Pill, Lakshmi Iyer, Marie-Laure Goepfer and Ingrid Vogel
Supplements The Blair Wealth Project: Antecedents and Prospects, Renewing Germany: Kohl's Legacy and Schroder's Dilemma, Italy: A New Commitment to Growth, and The Netherlands: Is the Polder Model Sinking? View Details
Keywords: Data and Data Sets; United Kingdom; Germany; Italy; Netherlands
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Pill, Huw, Lakshmi Iyer, Marie-Laure Goepfer, and Ingrid Vogel. "Europe: Data Supplement, 1950-2011." Harvard Business School Background Note 703-013, September 2002. (Revised February 2012.)
  • Article

Using Internet Data for Economic Research

By: Benjamin Edelman
The data used by economists can be broadly divided into two categories. First, structured datasets arise when a government agency, trade association, or company can justify the expense of assembling records. The Internet has transformed how economists interact with... View Details
Keywords: Data and Data Sets; Research; Internet; Cost Management; Information Management; Factories, Labs, and Plants; Reports; Archives; Surveys; Economics
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Edelman, Benjamin. "Using Internet Data for Economic Research." Journal of Economic Perspectives 26, no. 2 (Spring 2012): 189–206.
  • 2023
  • Working Paper

Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation

By: Sam (Ruiqing) Cao and Marco Iansiti
The increasing availability of data can afford dynamic competitive advantages among data-intensive corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks. We analyze the role of two technological features of data... View Details
Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation
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Cao, Sam (Ruiqing), and Marco Iansiti. "Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation." Harvard Business School Working Paper, No. 21-122, May 2021. (Revised November 2023.)
  • September 22, 2020
  • Article

Improving Data Access Democratizes and Diversifies Science

By: Abhishek Nagaraj, Mathijs de Vaan and Esther Shears
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Nagaraj, Abhishek, Mathijs de Vaan, and Esther Shears. "Improving Data Access Democratizes and Diversifies Science." Proceedings of the National Academy of Sciences 117, no. 38 (September 22, 2020).
  • September 2024
  • Exercise

Assessing the Value of Unifying and De-Duplicating Customer Data

By: Elie Ofek and Hema Yoganarasimhan
This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
Keywords: Customer Relationship Management; Measurement and Metrics; Analytics and Data Science; Value
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Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-Duplicating Customer Data." Harvard Business School Exercise 525-023, September 2024.
  • September 2020 (Revised July 2022)
  • Exercise

Artea (B): Including Customer-Level Demographic Data

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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
  • February 2022
  • Case

CityScore: Big Data Comes to Boston

By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in... View Details
Keywords: Analytics and Data Science; Government Administration; Leadership; Transformation; City; Measurement and Metrics; Public Administration Industry; Boston; United States
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Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
  • October 2002 (Revised February 2003)
  • Case

Administrative Data Project (C)

By: Lynda M. Applegate and Donald E. Heller
Supplements the (A) case. View Details
Keywords: Education Industry
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Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (C)." Harvard Business School Case 803-053, October 2002. (Revised February 2003.)
  • 09 Oct 2020
  • Working Paper Summaries

Where the Cloud Rests: The Economic Geography of Data Centers

Keywords: by Shane Greenstein and Tommy Pan Fang
  • 04 Jun 2024
  • Research & Ideas

Navigating Consumer Data Privacy in an AI World

generative artificial intelligence (AI) explodes, companies face balancing individual privacy, coveted data insights, and the law—all while pursuing competitive advantage. Eva Ascarza, the Jakurski Family... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • October 2018
  • Case

BreezoMeter: Making Air Pollution Data Actionable

By: Frank V. Cespedes, Allison M. Ciechanover and Margot Eiran
The case focuses on an Israeli startup that provides actionable air pollution data and forecasts. The company has over 50 enterprise customers and its tool reached a million people daily in 67 countries. The co-founders wrestle with which markets and customers to focus... View Details
Keywords: Startups; Entrepreneurship; Business Startups; Pollutants; Analytics and Data Science; Sales; Marketing; Decision Choices and Conditions; Technology Industry; Israel; United States
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Cespedes, Frank V., Allison M. Ciechanover, and Margot Eiran. "BreezoMeter: Making Air Pollution Data Actionable." Harvard Business School Case 819-058, October 2018.
  • 2024
  • Working Paper

Sharing Models to Interpret Data

By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
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Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)
  • 2023
  • Working Paper

New Facts and Data about Professors and Their Research

By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
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Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
  • May 2018
  • Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
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Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
  • 05 Mar 2018
  • Working Paper Summaries

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

Keywords: by Edward L. Glaeser, Hyunjin Kim, and Michael Luca
  • January 2002
  • Case

Relational Data Models in Enterprise-Level Information Systems

Provides an overview of some important aspects of the relational data models that underlie today's enterprise-level information technologies, such as enterprise resource planning and customer relationship management. Key concepts covered include relational data and... View Details
Keywords: Information Technology
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Cotteleer, Mark J. "Relational Data Models in Enterprise-Level Information Systems." Harvard Business School Case 602-114, January 2002.
  • March 2024 (Revised May 2024)
  • Case

Amperity: First-Party Data at a Crossroads

By: Elie Ofek, Hema Yoganarasimhan and Alexis Lefort
In the summer of 2023, Amperity management was facing a critical decision on its future direction. Given the dramatic changes occurring within the digital advertising ecosystem, as concerns over consumer privacy placed limits on the ability to engage in third-party... View Details
Keywords: AI and Machine Learning; Technology Adoption; Business Strategy; Digital Marketing; Price; Product; Business or Company Management; Advertising Industry
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Ofek, Elie, Hema Yoganarasimhan, and Alexis Lefort. "Amperity: First-Party Data at a Crossroads." Harvard Business School Case 524-017, March 2024. (Revised May 2024.)
  • 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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Bassamboo, Achal, Antonio Moreno, and Ioannis Stamatopoulos. "Inventory Auditing and Replenishment Using Point-of-Sales Data." Production and Operations Management 29, no. 5 (May 2020): 1219–1231.
  • June 2012
  • Article

A Reexamination of Tunneling and Business Groups: New Data and New Methods

By: Jordan I. Siegel and Prithwiraj Choudhury
One of the most rigorous methodologies in the corporate governance literature uses firms' reactions to industry shocks to characterize the quality of governance. This methodology can produce the wrong answer unless one considers the ways firms compete. Because... View Details
Keywords: Corporate Governance; Mergers And Acquisitions; Business Economics; Firm Organization; Firm Performance; Groups and Teams; Analytics and Data Science
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Siegel, Jordan I., and Prithwiraj Choudhury. "A Reexamination of Tunneling and Business Groups: New Data and New Methods." Review of Financial Studies 25, no. 6 (June 2012): 1763–1798.
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