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  • All HBS Web  (6,895)
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    • Research  (4,436)
    • Events  (116)
    • Multimedia  (73)
  • Faculty Publications  (3,068)

Show Results For

  • All HBS Web  (6,895)
    • News  (1,270)
    • Research  (4,436)
    • Events  (116)
    • Multimedia  (73)
  • Faculty Publications  (3,068)
← Page 10 of 6,895 Results →
  • 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.
  • June 2020
  • Supplement

New Product Sales Data

By: E. Ofek
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Ofek, E. "New Product Sales Data." Harvard Business School Spreadsheet Supplement 520-715, June 2020.
  • Article

Big Data and Discrimination

By: Talia B Gillis and Jann Spiess
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Gillis, Talia B., and Jann Spiess. "Big Data and Discrimination." University of Chicago Law Review 86, no. 2 (April 2019): 459–487.
  • November 1988 (Revised August 1989)
  • Supplement

Mead Data Central (C)

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Hertenstein, Julie H. "Mead Data Central (C)." Harvard Business School Supplement 189-080, November 1988. (Revised August 1989.)
  • November 1988 (Revised August 1989)
  • Supplement

Mead Data Central (B)

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Hertenstein, Julie H. "Mead Data Central (B)." Harvard Business School Supplement 189-079, November 1988. (Revised August 1989.)
  • March 1982 (Revised August 1985)
  • Case

Perkin-Elmer: Data Systems Group

By: Robert J. Dolan
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Dolan, Robert J. "Perkin-Elmer: Data Systems Group." Harvard Business School Case 582-101, March 1982. (Revised August 1985.)
  • Link

Replication Code and Data

  • 2022
  • Article

Data Poisoning Attacks on Off-Policy Evaluation Methods

By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods
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Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
  • 27 Sep 2018
  • Working Paper Summaries

Large-Scale Demand Estimation with Search Data

Keywords: by Tomomichi Amano, Andrew Rhodes, and Stephan Seiler; Retail
  • Video

Introduction to Big Data for Social Good

  • 30 Aug 2016
  • News

Extracting Insights from Vast Stores of Data

  • 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.
  • 2018
  • Simulation

Financial Analysis Simulation: Data Detective

By: Suraj Srinivasan and V.G. Narayanan
In this simulation, students learn to identify typical industry characteristics revealed in financial data. Equipped with an interactive and flexible set of tools, students analyze disguised financials and—using their knowledge of operational practices and reasoning... View Details
Keywords: Financial Analysis; Financial Accounting; Financial Ratios; Accounting; Financial Statements; Analysis
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Srinivasan, Suraj, and V.G. Narayanan. "Financial Analysis Simulation: Data Detective." Core Curriculum Readings Series. Simulation and Teaching Note. Boston: Harvard Business Publishing 8742, 2018. Electronic.
  • 12 Oct 2022
  • Video

Brandeis Marshall: The Potential for Data Equity

  • 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; Retail Industry; Apparel and Accessories Industry; Technology 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.)
  • 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.

    Invisible Primes: Fintech Lending with Alternative Data

    A key policy question raised by the advent of fintech lenders revolves around the impact on credit availability of credit models that employ alternative data and algorithmic underwriting. We exploit anonymized administrative data provided by a major fintech platform... View Details
    • 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.)
    • Web

    Data Practices - Research Computing Services

    Data Practices Data Tips & Toolkits RCS has compiled an array of packages and tools that can help you with your data wrangling, web scraping, and statistical analysis, among... View Details
    • 18 Feb 2014
    • News

    Data pioneers watching us work

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