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Show Results For
- All HBS Web
(1,736)
- People (9)
- News (323)
- Research (1,040)
- Events (13)
- Multimedia (10)
- Faculty Publications (859)
- February 2011
- Supplement
Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)
By: Dennis Campbell and Francisco de Asis Martinez-Jerez
Datasets of gaming and hotel customers to perform analysis for the case. View Details
- 01 Jun 2011
- News
Eye in the Storm
Other Newsmakers Bob Gannon (OPM 16, 1990) Diana ("Dido") Harding (MBA ’92) David Miller (MBA ’03) Allison O’Kelly (MBA ’99) Mike Stone (MBA ’88) Tom Tiller (MBA ’91) Bill Wyman (MBA ’65) Ammara Yaqub (MBA ’05) As turmoil swept across the Middle East, assessing it... View Details
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- 2020
- Article
Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data
By: Maryam Ghasemaghaei and Goran Calic
In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data." Journal of Business Research 108 (2020): 147–162.
- May 2014
- Article
Incorporating Field Data into Archival Research
By: Eugene F. Soltes
I explore the use of field data in conjunction with archival evidence by examining Iliev, Miller, and Roth's (2014) analysis of an amendment to the Securities Exchange Act of 1934. This regulatory amendment allowed depositary banks to cross-list firms without the... View Details
Soltes, Eugene F. "Incorporating Field Data into Archival Research." Journal of Accounting Research 52, no. 2 (May 2014): 521–540.
- Profile
Kaki Ettinger
how I could make the greatest contribution. I came to HBS to discover and understand the different paths in this sector for someone with an analytical mind, a deep interest in technology, and a passion for storytelling and the creative... View Details
- Profile
Maliha Khan
Why was getting a business education important to you? I saw an MBA as important for two reasons: I wanted key analytical and quantitative skills that would help me make decisions and give me more confidence in my judgment; and secondly,... View Details
- 14 Dec 2015
- Research & Ideas
Deflategate and the Sustained Success of the New England Patriots
organizations involved. But Deflategate isn’t the only issue examined by the case. “What started essentially as an analytics exercise ended up as a much broader analysis of the data, the sport, the NFL, and how it’s organized and how it’s... View Details
- 18 Oct 2016
- News
China, artificial intelligence, and Jim Breyer
partner level,” he said. “They are brilliant, work 100 hours a week and are intensely competitive.” When considering in which startups to invest capital, Breyer said if the company does not include an artificial intelligence data analysis component he will not consider... View Details
Keywords: Jennifer Myers
- 1999
- Article
Commercial Use of UPC Scanner Data: Industry and Academic Perspectives
By: Randolph E. Bucklin and Sunil Gupta
Keywords: Analytics and Data Science; Information Technology; Perspective; Education; Supply and Industry
Bucklin, Randolph E., and Sunil Gupta. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives." Marketing Science 18, no. 3 (1999): 247–273.
- Fast Answer
Real Estate Prices by City
How to find office & residential rental prices by major city worldwide. You may begin with: Moody’s Analytics CRE - Search millions of real estate data points that cover every commercially zoned property in the U.S.... View Details
- 01 Sep 2010
- News
Faculty Books
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance by Marshall Fisher and Ananth Raman (Harvard Business Press) Professor Raman and his coauthor explain how to use View Details
- 01 Mar 2018
- News
Democratizing Data to Favor Farmers
as much for the same seeds. That knowledge would help farmers haggle with dealers, but the real insight would come from analytics that go beyond consolidating seed prices to measuring a seed variety’s potential success. The most important... View Details
Keywords: Sasha Issenberg
- Web
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optout.networkadvertising.org We may use third party analytics such as Google Analytics or similar analytics services. For information on how Google processes and collects... View Details
- Forthcoming
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science (forthcoming). (Pre-published online May 7, 2024.)
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- March 2022 (Revised January 2025)
- Technical Note
Linear Regression
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
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised January 2025.)
- 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).