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Show Results For
-
All HBS Web
(1,199)
- People (1)
- News (391)
- Research (638)
- Events (5)
- Multimedia (7)
- Faculty Publications (199)
- 22 Oct 2019
- News
When It’s OK to Trust Your Gut on a Big Decision
- 22 Mar 2021
- Research & Ideas
How to Learn from the Big Mistake You Almost Make
first survey, the data showed that the closer the situation got to causing patient harm, the more important psychological safety became in determining whether the employees would report the near-miss event. “With near misses that we...
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- 02 Apr 2015
- Research & Ideas
Digital Initiative Summit: Freeing Patient Data to Enable Innovation
listed difficulties translating data into practice, something he has experienced and is trying to address in his transition from practitioner to health care entrepreneur. "About 85 percent of practice today is driven by anecdotal...
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- 25 Apr 2012
- What Do You Think?
How Will the “Age of Big Data” Affect Management?
Summing Up: Will Access To Big Data Further Enable Fact-based Decision Making Or Analysis Paralysis? "To T. S. Eliot's prescient words 'Where is the wisdom we have lost in knowledge? Where is the knowledge...
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Keywords:
Re: James L. Heskett
- May 2021
- Article
The Firm Next Door: Using Satellite Images to Study Local Information Advantage
By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong
We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level...
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Keywords:
Satellite Images;
Store-level Performance;
Institutional Investors;
Local Advantage;
Overweighting;
Processing Costs;
Alternative Data;
Big Data;
Emerging Technologies;
Information;
Quality;
Institutional Investing;
Decision Making;
Behavioral Finance;
Analytics and Data Science
Kang, Jung Koo, Lorien Stice-Lawrence, and Forester Wong. "The Firm Next Door: Using Satellite Images to Study Local Information Advantage." Journal of Accounting Research 59, no. 2 (May 2021): 713–750.
- November–December 2022
- Article
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an...
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Keywords:
Descriptive Analytics;
Big Data;
Synthetic Control;
E-commerce;
Online Retail;
Difference-in-differences;
Martech;
Internet and the Web;
Analytics and Data Science;
Performance;
Marketing;
Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
wasn't as big of a deal, because you could just retrain the model from scratch. Just throw out that data and do it again. That's really not plausible when training a model takes months and costs many...
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- 02 Apr 2015
- Research & Ideas
Digital Initiative Summit: Big Messages, Small Screens, Many Choices
Again, hardly anyone raised a hand. "And that's the problem," Balis said. Other Articles In This Series Big Messages, Small Screens, Many Choices Companies Must Forget—and Borrow The Business of Crowdsourcing Freeing Patient View Details
- 04 Jan 2022
- Research & Ideas
Scrap the Big New Year's Resolutions. Make 6 Simple Changes Instead.
ability to collect and analyze more data more quickly, decision-making and problem-solving have become increasingly complex. Many people look to technology to solve modern problems, but the more technology advances, the more human...
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Keywords:
by Kristen Senz
- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning...
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Keywords:
Big Data;
Data Science And Analytics Management;
Governance And Compliance;
Organizational Systems And Technology;
Anomaly Detection;
Application Performance Management;
Machine Learning;
Enterprise Architecture;
Analytics and Data Science
Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
- October 2015 (Revised October 2016)
- Case
Building Watson: Not So Elementary, My Dear! (Abridged)
By: Willy C. Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the...
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Keywords:
Analytics;
Big Data;
Business Analytics;
Product Development Strategy;
Machine Learning;
Machine Intelligence;
Artificial Intelligence;
Product Development;
AI and Machine Learning;
Information Technology;
Analytics and Data Science;
Information Technology Industry;
United States
Shih, Willy C. "Building Watson: Not So Elementary, My Dear! (Abridged)." Harvard Business School Case 616-025, October 2015. (Revised October 2016.)
- 2021
- Working Paper
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an...
View Details
Keywords:
Descriptive Analytics;
Big Data;
Synthetic Control;
E-commerce;
Online Retail;
Difference-in-differences;
Martech;
Internet and the Web;
Analytics and Data Science;
Performance;
Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Harvard Business School Working Paper, No. 21-067, November 2020. (Revised December 2021. Accepted at Marketing Science.)
- 07 Mar 2023
- HBS Case
ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?
company, Google CEO Sundar Pichai issued an apology. Learning from Google’s mistakes The takeaways from Gebru’s story are hardly singular to Google as Big Tech scrambles to build ever-larger AI data sets...
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- 2012
- Book
Judgment Calls: Twelve Stories of Big Decisions and the Teams That Got Them Right
By: Thomas H. Davenport and Brook Manville
This book includes twelve detailed stories of organizations that have successfully tapped their data assets, diverse perspectives, and deep knowledge to build an organizational decision-making capability. The book introduces a model that utilizes the collective...
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Keywords:
Organizational Judgment;
Decision-making;
Decisions;
Organizational Structure;
Business Processes
Davenport, Thomas H., and Brook Manville. Judgment Calls: Twelve Stories of Big Decisions and the Teams That Got Them Right. Harvard Business Review Press, 2012. (Publisher's Weekly Top 10 Business Book of 2012.)
- 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...
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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 2019 (Revised October 2019)
- Case
Glossier: Co-Creating a Cult Brand with a Digital Community
By: Jill Avery
Glossier’s proclaimed strategy was “born from content; fueled by community.” The digital-first, direct-to-consumer beauty brand had experienced rapid growth, with sales up 600% in 2017 and a customer portfolio that grew by threefold. But, its founder, Emily Weiss, was...
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Keywords:
Brands;
Brand Management;
Brand Communication;
Retailing;
DTC;
Influencer;
Startup;
Internet Marketing;
Big Data;
Crowdsourcing;
Growth and Development Strategy;
Social Media;
E-commerce;
Internet and the Web;
Digital Marketing;
Consumer Products Industry;
Beauty and Cosmetics Industry;
Retail Industry;
United States;
North America
Avery, Jill. "Glossier: Co-Creating a Cult Brand with a Digital Community." Harvard Business School Case 519-022, January 2019. (Revised October 2019.)