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  • 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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  • December 2017
  • Teaching Note

Yemeksepeti: Growing and Expanding the Business Model through Data

By: William R. Kerr and Alexis Brownell
Teaching Note for HBS No. 817-095. View Details
Keywords: Turkey; Internet; Online Ordering; Restaurants; Big Data; Entrepreneurship; Analytics and Data Science; Internet and the Web; Growth and Development Strategy; Food and Beverage Industry; Turkey
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  • August 2018 (Revised April 2019)
  • Supplement

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis
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  • August 1997
  • Case

Orbital Sciences Corporation: ORBCOMM

By: Das Narayandas and John A. Quelch
In late 1993, Orbital Communications Corp. (OCC), a subsidiary of Orbital Sciences Corp., is developing a global two-way wireless data communications system, called "ORBCOMM," based on a 26-satellite constellation in low earth orbit. Service is scheduled to begin in... View Details
Keywords: Business Subsidiaries; Business Model; Business Startups; Price; Global Strategy; Marketing Strategy; Demand and Consumers; Partners and Partnerships; Salesforce Management; Telecommunications Industry
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    Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies

    Speaker's Box, Journal of Advertising Research
    “Speaker’s Box” invites academics and practitioners to identify potential areas of research affecting marketing and advertising. Its intention is to bridge the gap between the length... View Details
    • June 2022 (Revised January 2025)
    • Technical Note

    Causal Inference

    By: Iavor I Bojinov, Michael Parzen and Paul Hamilton
    This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
    Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
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    • 30 May 2013
    • News

    Big Data Lessons from Silicon Valley

    • Article

    One Obstacle to Curing Cancer: Patient Data Isn't Shared

    By: Richard G. Hamermesh and Kathy Giusti
    Precision Medicine requires large datasets to identify the mutations that lead to various cancers. Currently, genomic information is hoarded in fragmented silos within numerous academic medical centers, pharmaceutical companies, and some disease-based foundations. For... View Details
    Keywords: Healthcare; Technological And Scientific Innovation; Cancer Care In The U.S.; Cancer Treatment; Precision Medicine; Personalized Medicine; Data Sharing; Technological Innovation; Analytics and Data Science; Health Disorders; Medical Specialties; Research and Development; Customization and Personalization; Health Industry; United States
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    • August 2018 (Revised February 2023)
    • Case

    Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing

    By: Jill Avery and Ayelet Israeli
    As its Series A extension round approaches, the founders of Hubble, a subscription-based, social-media fueled, direct-to-consumer (DTC) brand of contact lenses, are reflecting on the marketing strategies that have taken them to a valuation of $200 million and debating... View Details
    Keywords: DTC; Direct To Consumer Marketing; Health Care; Mobile; Attribution; Experimentation; Experiments; Churn/retention; Customer Lifetime Value; Internet Marketing; Big Data; Analytics; A/B Testing; CRM; Advertising; Marketing; Marketing Channels; Marketing Strategy; Media; Brands and Branding; Marketing Communications; Digital Marketing; Consumer Behavior; Acquisition; Growth and Development Strategy; Customer Focus and Relationships; Social Media; E-commerce; Analytics and Data Science; Health Industry; Consumer Products Industry; United States; North America; Europe
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    • July 2022
    • Teaching Note

    eGrocery and the Role of Data and E-Commerce Analytics for CPG Firms

    By: Ayelet Israeli
    Teaching Note for HBS Case No. 521-077. View Details
    Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
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    • 12 Oct 2022
    • Video

    Brandeis Marshall: The Potential for Data Equity

    • 2021
    • Chapter

    Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success

    By: Karen G. Mills and Annie Dang
    Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
    Keywords: Big Data; Fintech; Artificial Intelligence; Small Business; Financing and Loans; Capital; Success; AI and Machine Learning; Analytics and Data Science
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    • 12 Jul 2010
    • Research & Ideas

    Rocket Science Retailing: A Practical Guide

    The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance (Harvard Business Press). As a practical guide, The New Science of Retailing helps retailers mine their... View Details
    Keywords: by Martha Lagace; Retail; Auto
    • October 2022
    • Supplement

    Single Earth: Science White Paper Supplement

    By: Rembrand Koning and Emer Moloney
    Science White Paper prepared by Single.Earth to give an overview of the models and solutions it has developed. View Details
    Keywords: Business Startups; Entrepreneurship; Climate Change; Environmental Sustainability; Green Technology; Natural Resources; Pollution; Analytics and Data Science; Marketing; Product Marketing; Product Launch; Product Positioning; Markets; Market Timing; Strategy; Green Technology Industry; Estonia
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    • Spring 2016
    • Article

    Has Social Science Taken Over Electoral Campaigns and Should We Regret It?

    By: Vincent Pons
    Keywords: Data Analytics; Elections; Electoral Campaigns; Persuasion; Randomized Experiments
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    • Teaching Interest

    Overview

    Teaching has been a lifelong passion of mine. As the third generation of academics in my family, I see good teaching as a means to give back and to encourage others to share my passion for discovery. I’ve been very lucky to have many teaching opportunities, both as an... View Details
    Keywords: Big Data; Technology Strategy; Machine Learning; Data Science; ＂Marketing Analytics＂; Data Visualization; Analysis; Technological Innovation; Innovation and Invention; Intellectual Property; Corporate Strategy; Software; Information Technology; Entrepreneurship; Marketing; Technology Industry; Information Technology Industry; Green Technology Industry; Computer Industry; Advertising Industry
    • 2021
    • Working Paper

    Time and the Value of Data

    By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

    Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

    Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
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    • May 8, 2020
    • Article

    Which Covid-19 Data Can You Trust?

    By: Satchit Balsari, Caroline Buckee and Tarun Khanna
    The COVID-19 pandemic has produced a tidal wave of data, but how much of it is any good? And as a layperson, how can you sort the good from the bad? The authors suggest a few strategies for dividing the useful data from the misleading: Beware of data that’s too broad... View Details
    Keywords: COVID-19 Pandemic; Health Pandemics; Analytics and Data Science
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    • May 2024 (Revised January 2025)
    • Technical Note

    Education Technology: A Technical Note

    By: Boris Groysberg
    This note considers educational technology as it intersects with HR technology. View Details
    Keywords: Edtech; HR; AI; Data Science; Competency and Skills; Talent and Talent Management; Human Resources; Personal Development and Career; Education Industry; Technology Industry; United States
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    • August 2024
    • Technical Note

    Introduction to Data Analysis in Python

    By: Michael Parzen and Jo Ellery
    This note introduces Python as a tool for data science, including the Pandas library for data analysis. View Details
    Keywords: Analytics and Data Science
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