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      • March 2022 (Revised January 2025)
      • Technical Note

      Exploratory Data Analysis

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
      Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Technical Note 622-098, March 2022. (Revised January 2025.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Linear Regression

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
      Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised January 2025.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
      Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
      • March 2022 (Revised January 2025)
      • Technical Note

      Statistical Inference

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details
      Keywords: Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Statistical Inference." Harvard Business School Technical Note 622-099, March 2022. (Revised January 2025.)
      • March 2022
      • Case

      GrowSari (A): Design for the Last Mile Customer

      By: Brian Trelstad, Cam Carag and Michi Ferreol
      Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed to decide how to proceed. The pair,... View Details
      Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines
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      Trelstad, Brian, Cam Carag, and Michi Ferreol. "GrowSari (A): Design for the Last Mile Customer." Harvard Business School Case 322-036, March 2022.
      • March 2022
      • Supplement

      GrowSari (B)

      By: Brian Trelstad, Cam Carag and Michi Ferreol
      Case supplement for HBS Case No. 322-036. Reymund (ER) Rollan and Shivapratim (Shiv) Choudhury, founders of the digital technology platform GrowSari, were at a crossroads. The feedback from their initial product roll-out were not what they had expected, and they needed... View Details
      Keywords: Fast Moving Consumer Goods; Product Launch; Information Technology; Analytics and Data Science; Digital Platforms; Retail Industry; Consumer Products Industry; Technology Industry; Philippines
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      Trelstad, Brian, Cam Carag, and Michi Ferreol. "GrowSari (B)." Harvard Business School Supplement 322-037, March 2022.
      • March 2022
      • Teaching Note

      Digital Manufacturing at Amgen

      By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
      This teaching note provides guidance for instructors teaching “Digital Manufacturing at Amgen,” case no. 621-008. View Details
      Keywords: Change; Change Management; Decision Making; Cost vs Benefits; Decisions; Information Technology; Analytics and Data Science; Innovation and Invention; Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Jobs and Positions; Knowledge; Leadership; Organizational Culture; Science; Strategy; Technology Adoption; Biotechnology Industry; Pharmaceutical Industry; United States; California; Puerto Rico; Rhode Island
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      Greenstein, Shane, Kyle R. Myers, and Sarah Mehta. "Digital Manufacturing at Amgen." Harvard Business School Teaching Note 622-013, March 2022.
      • March 2022 (Revised January 2024)
      • Case

      Moksha Data: Delivering Insights for Public Service

      By: Ashish Nanda and Zack Kurtovich
      Moksha Data, a boutique consulting firm specializing in public sector work, started in January 2017 with a handshake between friends and a shared commitment to the principles of egalitarianism, ownership, and collaboration. The Houston-based firm had built momentum... View Details
      Keywords: Professional Service Firms; Professional Service Firm; Strategy Formulation; Data; Data As A Service; Government Contracting; Consulting; Consulting Firms; Consulting Services; Entrepreneurship; Public Sector; Analytics and Data Science; Growth and Development; Strategy; Consulting Industry; Texas
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      Nanda, Ashish, and Zack Kurtovich. "Moksha Data: Delivering Insights for Public Service." Harvard Business School Case 722-397, March 2022. (Revised January 2024.)
      • 2022
      • White Paper

      Census II of Free and Open Source Software - Application Libraries

      By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou
      Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data... View Details
      Keywords: Open Source Software; Applications and Software; Cybersecurity; Open Source Distribution
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      Nagle, Frank, James Dana, Jennifer Hoffman, Steven Randazzo, and Yanuo Zhou. "Census II of Free and Open Source Software - Application Libraries." White Paper, Linux Foundation and Laboratory for Innovation Science at Harvard, March 2022.
      • March 2022
      • Article

      Where to Locate COVID-19 Mass Vaccination Facilities?

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
      The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
      Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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      Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
      • 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.
      • February 2022
      • Teaching Plan

      Community Solutions

      By: Brian Trelstad and Tom Quinn
      Teaching Plan for HBS Case No. 322-021. Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached... View Details
      Keywords: Homelessness; Social Issues; Housing; Human Needs; Poverty; Welfare; Business and Community Relations; Analytics and Data Science; Business Strategy; Corporate Social Responsibility and Impact; Philanthropy and Charitable Giving
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      Trelstad, Brian, and Tom Quinn. "Community Solutions." Harvard Business School Teaching Plan 322-060, February 2022.
      • 2022
      • Working Paper

      The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

      By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
      As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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      Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
      • 2022
      • Chapter

      Measuring Compliance Risk and the Emergence of Analytics

      By: Eugene F. Soltes
      Corporate compliance manages a diverse set of regulatory and reputational concerns ranging from fraud to privacy to discrimination. However, effectively managing such risks has often been hampered by a lack of adequate information about when, where, and why misconduct... View Details
      Keywords: Compliance; Risk; Analytics; Governance Compliance; Governing Rules, Regulations, and Reforms; Risk Management; Analytics and Data Science
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      Soltes, Eugene F. "Measuring Compliance Risk and the Emergence of Analytics." Chap. 8 in Measuring Compliance: Assessing Corporate Crime and Misconduct Prevention, edited by Melissa Rorie and Benjamin van Rooij, 137–152. Cambridge University Press, 2022.
      • January 2022 (Revised February 2022)
      • Case

      Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?

      By: Jonas Heese, Charles C.Y. Wang and James Weber
      In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say... View Details
      Keywords: Jobs and Positions; Compensation and Benefits; Performance; Performance Productivity; Measurement and Metrics; Analytics and Data Science; Value; Business or Company Management; Performance Evaluation; Business and Shareholder Relations
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      Heese, Jonas, Charles C.Y. Wang, and James Weber. "Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?" Harvard Business School Case 122-061, January 2022. (Revised February 2022.)
      • January 2022
      • Article

      Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems

      By: David R. Clough and Andy Wu
      Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
      Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry
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      Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
      • December 2021
      • Case

      Burning Glass Technologies: From Data to Product

      By: Suraj Srinivasan and Amy Klopfenstein
      In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial... View Details
      Keywords: Information Technology; Applications and Software; Digital Platforms; Internet and the Web; Strategy; Expansion; Business Strategy; Labor; Employment; Human Capital; Jobs and Positions; Job Design and Levels; Job Search; Human Resources; Selection and Staffing; Recruitment; Employees; Retention; Competency and Skills; Experience and Expertise; Talent and Talent Management; Analytics and Data Science; Business Model; Technology Industry; North and Central America; United States
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      Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.
      • Article

      Core Earnings: New Data and Evidence

      By: Ethan Rouen, Eric C. So and Charles C.Y. Wang
      Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details
      Keywords: Core Earnings; Transitory Earnings; Non-operating Earnings; Quantitative Disclosures; Equity Valuation; Big Data; Business Earnings; Financial Reporting; Valuation; Analytics and Data Science
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      Rouen, Ethan, Eric C. So, and Charles C.Y. Wang. "Core Earnings: New Data and Evidence." Journal of Financial Economics 142, no. 3 (December 2021): 1068–1091.
      • November 2021 (Revised December 2021)
      • Supplement

      PittaRosso (B): Human and Machine Learning

      By: Ayelet Israeli
      This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
      Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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      Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
      • October 2021 (Revised February 2022)
      • Case

      Newsweek: Driving a Digital First Strategy

      By: Lynda M. Applegate and Suraj Srinivasan
      The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as... View Details
      Keywords: Transformation; Strategy; Internet and the Web; Analytics and Data Science; Performance Evaluation; Partners and Partnerships
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      Applegate, Lynda M., and Suraj Srinivasan. "Newsweek: Driving a Digital First Strategy." Harvard Business School Case 822-052, October 2021. (Revised February 2022.)
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