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(6,737)
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Show Results For
- All HBS Web
(6,737)
- News (1,207)
- Research (4,365)
- Events (115)
- Multimedia (63)
- Faculty Publications (2,983)
- January 2021 (Revised March 2021)
- Supplement
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
- August 2020
- Case
Chesapeake Conservancy: Democratizing Data to Protect 30% of the Planet by 2030
By: Lynda M. Applegate and Ankita Panda
Applegate, Lynda M., and Ankita Panda. "Chesapeake Conservancy: Democratizing Data to Protect 30% of the Planet by 2030." Harvard Business School Case 821-017, August 2020.
- 1998
- Working Paper
The Consequences of Labour Market Flexibility: Panel Evidence Based on Survey Data
By: Rafael Di Tella and Robert MacCulloch
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
- 15 Oct 2009
- Other Presentation
Growing Successful Inner City Businesses: Findings From A Decade of ICIC Data
Dr. Michael Porter: Inner City Economic Forum Summit 2009 View Details
Porter, Michael E. "Growing Successful Inner City Businesses: Findings From A Decade of ICIC Data." Inner City Economic Summit, Initiative for a Competitive Inner City, Washington, DC, October 15, 2009.
- 01 Jan 1999
- Conference Presentation
A Framework for Measuring the Quality of Medication Prescribing Using Administrative Data
By: R. S. Stafford, Richard Bohmer and R. Gaudette
- 1 Aug 1997
- Conference Presentation
What Really Happens in Creative Projects: Event Sampling through Electronic Data Collection
By: T. M. Amabile, D. Whitney, J. Weinstock, L. Miller and C. Fallang
- Web
Finding a Time Series of Financial Data in Compustat | Baker Library
Updates Choose Fundamentals Annual Step One: Date Range Set Date Variable to Data date Set Beginning Date month and year View Details
- May 1986
- Case
Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot
By: Shoshana Zuboff
Zuboff, Shoshana. "Data Administration in Citibank Brazil (D): Implementation of the Central Liabilities Pilot." Harvard Business School Case 486-112, May 1986.
- February 1996
- Article
Explaining the Term Structure of Interest Rates: A Panel Data Approach
By: E. S. Mayfield and R. Murphy
Mayfield, E. S., and R. Murphy. "Explaining the Term Structure of Interest Rates: A Panel Data Approach." Journal of Economics and Business 48, no. 1 (February 1996): 11–21.
- Spring 2016
- Article
The Billion Prices Project: Using Online Prices for Inflation Measurement and Research
By: Alberto Cavallo and Roberto Rigobon
New data-gathering techniques, often referred to as “Big Data” have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both... View Details
Keywords: Billion Prices Project; Online Scraped Data; Online Price Index; Economics; Research; Price; Analytics and Data Science
Cavallo, Alberto, and Roberto Rigobon. "The Billion Prices Project: Using Online Prices for Inflation Measurement and Research." Journal of Economic Perspectives 30, no. 2 (Spring 2016): 151–178.
- January 23, 2023
- Article
Click-by-click: Using Alternative Data to Make a Business Case for Culture
By: Jillian Grennan and Joseph Pacelli
Grennan, Jillian, and Joseph Pacelli. "Click-by-click: Using Alternative Data to Make a Business Case for Culture." CMR Insights (January 23, 2023).
- December 2023
- Article
What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data
By: Alberto Cavallo and Oleksiy Kryvtsov
We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020-2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the... View Details
Keywords: Prices; Stockouts; Inventories; Supply Disruptions; COVID-19 Pandemic; Supply Chain; Product; Demand and Consumers
Cavallo, Alberto, and Oleksiy Kryvtsov. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data." Journal of International Economics 146 (December 2023).
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- January 2022
- Article
The Private Impact of Public Data: Landsat Satellite Maps Increased Gold Discoveries and Encouraged Entry
By: Abhishek Nagaraj
How does public data shape the relative performance of incumbents and entrants in the private sector? Using a simple theoretical framework, I argue that public data reduces investment uncertainty, facilitates the discovery of new market opportunities and increases the... View Details
Keywords: Public Data; Maps; Gold; Microeconomic Behavior; Economics; Data and Data Sets; Private Sector; Market Entry and Exit; Mining
Nagaraj, Abhishek. "The Private Impact of Public Data: Landsat Satellite Maps Increased Gold Discoveries and Encouraged Entry." Management Science 68, no. 1 (January 2022): 564–582.
- March 2019
- Case
Wattpad
By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Entertainment and Recreation Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
- 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
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.
- July 9, 2019
- Article
Setting Better Sales Goals with Analytics
By: Doug J. Chung, Isabel Huber, Vinay Murthy, Varun Sunku and Marije Weber
Sales compensation is a critical lever in motivating a salesforce and driving growth in the business-to-business sector: Studies show that revising compensation in line with market trends can have a 50% greater impact on sales than advertisements have, for instance. A... View Details
Keywords: Analytics; Salesforce Management; Compensation and Benefits; Motivation and Incentives; Goals and Objectives
Chung, Doug J., Isabel Huber, Vinay Murthy, Varun Sunku, and Marije Weber. "Setting Better Sales Goals with Analytics." Harvard Business Review (website) (July 9, 2019).