Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide

Bibliographic Details
Main Authors: Iavor Bojinov, Somit Gupta
Format: Article
Language:English
Published: The MIT Press 2022-07-01
Series:Harvard Data Science Review
Online Access:https://hdsr.mitpress.mit.edu/pub/aj31wj81
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author Iavor Bojinov
Somit Gupta
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Somit Gupta
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spelling doaj.art-54a124d0aab54dbb88bbab822189008c2023-01-04T19:31:37ZengThe MIT PressHarvard Data Science Review2644-23532022-07-0110.1162/99608f92.a579756eOnline Experimentation: Benefits, Operational and Methodological Challenges, and Scaling GuideIavor Bojinov0https://orcid.org/0000-0002-3470-8539Somit Gupta1Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, Massachusetts, United States of America; Technology and Operations Management Unit, Harvard Business School, Harvard University, Cambridge, Massachusetts, United States of America; Harvard Data Science Initiative, Harvard University, Cambridge, Massachusetts, United States of AmericaExperimentation Platform Team, Microsofthttps://hdsr.mitpress.mit.edu/pub/aj31wj81
spellingShingle Iavor Bojinov
Somit Gupta
Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
Harvard Data Science Review
title Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
title_full Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
title_fullStr Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
title_full_unstemmed Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
title_short Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
title_sort online experimentation benefits operational and methodological challenges and scaling guide
url https://hdsr.mitpress.mit.edu/pub/aj31wj81
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