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Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl

Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details

Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets

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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

30 May 2013
News

Big Data Lessons from Silicon Valley

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

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

August 2021
Case

Precision Paint Co.

By: Iavor I. Bojinov, Chiara Farronato, Janice H. Hammond, Michael Parzen and Paul Hamilton

Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details

Keywords: Regression; Prediction; Forecasting; Data Science; Analysis; Forecasting and Prediction

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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12 Oct 2022
Video

Brandeis Marshall: The Potential for Data Equity

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

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

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

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

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

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

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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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

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

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

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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01 Dec 2014
News

Making Big Data Fashionable

styles are resonating with consumers. By monitoring data such as social media chatter, shared images, and Google searches, Trendalytics can identify specific trends that a brand can then use to guide everything from the product mix to... View Details

Keywords: Christine Lejeune; fashion; Market Research, Photo, Translation, Veterinary and Other Services; Professional Services

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