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  • All HBS Web  (2,044)
    • News  (420)
    • Research  (1,318)
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Show Results For

  • All HBS Web  (2,044)
    • News  (420)
    • Research  (1,318)
    • Events  (25)
    • Multimedia  (3)
  • Faculty Publications  (450)
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  • 21 Aug 2017
  • Lessons from the Classroom

Companies Love Big Data But Lack the Strategy To Use It Effectively

design. Deighton discussed how new sources of data starting to be generated by the Internet of Things will impact the advertising-based hegemony of Google, Amazon, and Facebook. “The best picture we have... View Details
Keywords: by Dina Gerdeman
  • 12 Apr 2022
  • Research & Ideas

Swiping Right: How Data Helped This Online Dating Site Make More Matches

marriages began with online dates. “[Online dating platforms] are an extremely interesting application of the general question of influence and digital interactions,” he says, with lessons that can apply to other online engagement... View Details
Keywords: by Kara Baskin

    A New Analysis of Differential Privacy’s Generalization Guarantees

    We give a new proof of the “transfer theorem” underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
    • October 2018
    • Case

    Fundraising at St. Camillus Hospital

    By: Srikant M. Datar and Caitlin N. Bowler
    St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital... View Details
    Keywords: Data Analysis; Data Privacy; Data Governance; Non-profit; Health Care; Fundraising; Data Security; Analytics and Data Science; Safety; Governance; Ethics; Health Care and Treatment; Cybersecurity
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    Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
    • April 2023
    • Technical Note

    An Art & A Science: How to Apply Design Thinking to Data Science Challenges

    By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
    We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
    Keywords: Decision Making; Framework; Analytics and Data Science
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    Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
    • 15 Nov 2016
    • News

    Cultivating the Next Generation of Thought Leaders

    two reasons for management failures to heed shareholder proposals for greater action on ESG issues: processes within the organization may not be sufficiently developed, and performance incentives may be misaligned. “I went back to the View Details
    • Article

    Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation

    By: Ariel Dora Stern, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann and Jennifer C Goldsack
    In 2019, Germany passed the Digital Healthcare Act, which, among other things, created a “Fast-Track” regulatory and reimbursement pathway for digital health applications in the German market. The pathway explicitly provides for flexibility in how researchers can... View Details
    Keywords: Digital Health; Health Care and Treatment; Technological Innovation
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    Stern, Ariel Dora, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann, and Jennifer C Goldsack. "Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation." Lancet Digital Health 4, no. 3 (March 2022): e200–e206.
    • Fast Answer

    Government data and information sources for public entrepreneurship

    Services (GIS). SimplyAnalytics generates tables and maps for the United States including population, age, race, income, employment, and education. Our subscription also allows access to Experian... View Details
    • 01 Jun 2024
    • News

    Decoding the Promise and Perils of Generative AI

    of dollars and take weeks or months to implement, each of our studies ran in a matter of minutes or hours and the total cost to generate all the data in the paper was under $100,” they wrote. Hima Lakkaraju... View Details
    Keywords: April White
    • May–June 2020
    • Article

    The Agenda for the Next Generation of Health Care Information Technology

    By: Thomas W. Feeley, Zachary Landman and Michael E. Porter
    As the diffusion of value-based health care efforts accelerates globally, the need for interoperable information technology systems that support value-based care is essential. Such systems are needed to facilitate dramatic improvements in patient outcomes and... View Details
    Keywords: Value-based Health Care; Health Care and Treatment; Information Technology; Integration; Performance Improvement; Performance Efficiency
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    Feeley, Thomas W., Zachary Landman, and Michael E. Porter. "The Agenda for the Next Generation of Health Care Information Technology." NEJM Catalyst Innovations in Care Delivery 1, no. 3 (May–June 2020).
    • July 2021
    • Article

    Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time

    By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
    Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details
    Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry
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    Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.
    • Web

    Data Tips & Toolkits - Research Computing Services

    Data Practices Data Tips & Toolkits 77ms Causal Inference R Packages causalTree, CausalImpact, Counterfactual, BayesTree, rrd, FindIt, causaldrf, uplift, Synth, matchIt, pcalg, wfe, matching, med ex, BCEE,... View Details
    • Fast Answer

    Finding a Time Series of Financial Data in Compustat

    How do I find time series of financial data using Compustat in WRDS? You can search for financial data using Compustat in View Details
    • 02 Apr 2015
    • Research & Ideas

    Digital Initiative Summit: Freeing Patient Data to Enable Innovation

    Patients are not actually the customers in the United States health care system, a fact largely to blame for the dearth of communication and data sharing between providers, according to experts at a recent Harvard Business School... View Details
    Keywords: Re: Karim R. Lakhani; Health
    • 2023
    • Book

    Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

    By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
    This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
    Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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    Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
    • 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.)
    • 22 Feb 2024
    • Research & Ideas

    How to Make AI 'Forget' All the Private Data It Shouldn't Have

    Europe’s tougher data privacy regulations went into effect in 2018, they have created complications for companies worldwide. Questions around data privacy will likely become thornier as View Details
    Keywords: by Rachel Layne; Technology; Information Technology
    • 2018
    • Working Paper

    Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

    By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
    Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
    Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
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    Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
    • Web

    GDPR & Other Data Privacy Laws | Information Technology

    information. The most notable is the European Union's General Data Protection Regulation (GDPR), but other countries are adopting similar resolutions. From Harvard's GDPR Resource Website : The View Details
    • Web

    Generative AI for Business Leaders - Course Catalog

    HBS Course Catalog Generative AI for Business Leaders Course Number 1301 Professor Suraj Srinivasan Spring; Q4; 1.5 credits Project Course Overview Generative AI (GenAI) stands at the forefront of a... View Details
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