Filter Results:
(4,412)
Show Results For
- All HBS Web
(7,140)
- News (1,262)
- Research (4,412)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,086)
Show Results For
- All HBS Web
(7,140)
- News (1,262)
- Research (4,412)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,086)
Sort by
- March 1982 (Revised August 1985)
- Case
Perkin-Elmer: Data Systems Group
By: Robert J. Dolan
Dolan, Robert J. "Perkin-Elmer: Data Systems Group." Harvard Business School Case 582-101, March 1982. (Revised August 1985.)
- 2022
- Article
Data Poisoning Attacks on Off-Policy Evaluation Methods
By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
- 11 May 2021
- Working Paper Summaries
Time Dependency, Data Flow, and Competitive Advantage
- 2018
- Simulation
Financial Analysis Simulation: Data Detective
By: Suraj Srinivasan and V.G. Narayanan
In this simulation, students learn to identify typical industry characteristics revealed in financial data. Equipped with an interactive and flexible set of tools, students analyze disguised financials and—using their knowledge of operational practices and reasoning... View Details
Keywords: Financial Analysis; Financial Accounting; Financial Ratios; Accounting; Financial Statements; Analysis
Srinivasan, Suraj, and V.G. Narayanan. "Financial Analysis Simulation: Data Detective." Core Curriculum Readings Series. Simulation and Teaching Note. Boston: Harvard Business Publishing 8742, 2018. Electronic.
- 27 Sep 2018
- Working Paper Summaries
Large-Scale Demand Estimation with Search Data
- January 2002
- Case
Relational Data Models in Enterprise-Level Information Systems
Provides an overview of some important aspects of the relational data models that underlie today's enterprise-level information technologies, such as enterprise resource planning and customer relationship management. Key concepts covered include relational data and... View Details
Keywords: Information Technology
Cotteleer, Mark J. "Relational Data Models in Enterprise-Level Information Systems." Harvard Business School Case 602-114, January 2002.
- February 2022
- Case
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in... View Details
Keywords: Analytics and Data Science; Government Administration; Leadership; Transformation; City; Measurement and Metrics; Public Administration Industry; Boston; United States
Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
- October 2018
- Case
BreezoMeter: Making Air Pollution Data Actionable
By: Frank V. Cespedes, Allison M. Ciechanover and Margot Eiran
The case focuses on an Israeli startup that provides actionable air pollution data and forecasts. The company has over 50 enterprise customers and its tool reached a million people daily in 67 countries. The co-founders wrestle with which markets and customers to focus... View Details
Keywords: Startups; Entrepreneurship; Business Startups; Pollutants; Analytics and Data Science; Sales; Marketing; Decision Choices and Conditions; Technology Industry; Israel; United States
Cespedes, Frank V., Allison M. Ciechanover, and Margot Eiran. "BreezoMeter: Making Air Pollution Data Actionable." Harvard Business School Case 819-058, October 2018.
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- March 2024 (Revised May 2024)
- Case
Amperity: First-Party Data at a Crossroads
By: Elie Ofek, Hema Yoganarasimhan and Alexis Lefort
In the summer of 2023, Amperity management was facing a critical decision on its future direction. Given the dramatic changes occurring within the digital advertising ecosystem, as concerns over consumer privacy placed limits on the ability to engage in third-party... View Details
Keywords: AI and Machine Learning; Technology Adoption; Business Strategy; Digital Marketing; Price; Product; Business or Company Management; Advertising Industry
Ofek, Elie, Hema Yoganarasimhan, and Alexis Lefort. "Amperity: First-Party Data at a Crossroads." Harvard Business School Case 524-017, March 2024. (Revised May 2024.)
- November 2019
- Article
How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details
Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
- 1995
- Book
Data Analysis, Regression, and Forecasting
By: A. Schleifer Jr. and D. E. Bell
Keywords: Forecasting and Prediction
Schleifer, A., Jr., and D. E. Bell. Data Analysis, Regression, and Forecasting. Cambridge, MA: Course Technology Inc. (CTI), 1995.
- May 1983 (Revised November 1987)
- Case
Technical Data Corp.: Business Plan
Contains materials extracted from a business plan developed by the company in 1980. The purpose of the business plan was to raise $100,000 to finance the commencement of operations. The firm intended to provide analytical services to bond market traders. The product... View Details
Keywords: Business Plan
Sahlman, William A. "Technical Data Corp.: Business Plan." Harvard Business School Case 283-073, May 1983. (Revised November 1987.)
- January 2020
- Case
Kaggle 2019 Data Science Survey
By: Yael Grushka-Cockayne, Michael Parzen, Paul Hamilton and Steven Randazzo
Grushka-Cockayne, Yael, Michael Parzen, Paul Hamilton, and Steven Randazzo. "Kaggle 2019 Data Science Survey." Harvard Business School Case 620-091, January 2020.
- August 1981
- Background Note
Overview of Data Communications Technology
Keywords: Information Technology
Cash, James I., Jr. "Overview of Data Communications Technology." Harvard Business School Background Note 182-018, August 1981.
- September 13, 2023
- Article
How the Best Chief Data Officers Create Value
By: Suraj Srinivasan and Robin Seibert
Despite the rapidly increasing prominence of data and analytics functions, the majority of chief data officers (CDOs) fail to value and price the business outcomes created by their data and analytics capabilities. It comes as no surprise then that many CDOs fall behind... View Details
Srinivasan, Suraj, and Robin Seibert. "How the Best Chief Data Officers Create Value." Harvard Business Review (website) (September 13, 2023).
- October 2023 (Revised April 2024)
- Case
TetraScience: Unlocking the Power of Scientific Data
By: Satish Tadikonda and William Marks
After pivoting from a focus on hardware to a focus on scientific data, TetraScience, led by veteran SaaS executive, Patrick Grady and Founder Spin Wang, has embarked on a journey from nearly cash-out to a player in the scientific data management space. This case... View Details
Keywords: Business Model; Change Management; Entrepreneurship; Information Management; Business Strategy; Market Entry and Exit; Information Technology Industry
Tadikonda, Satish, and William Marks. "TetraScience: Unlocking the Power of Scientific Data." Harvard Business School Case 824-072, October 2023. (Revised April 2024.)
- 2024
- Case
EPCorp: What Story Does the Data Tell?
By: Jacob M. Cook
In EPCorp: What Story Does the Data Tell?, the Quick Case begins with Shivani Bahl researching problems with her company's website so that she can begin to analyze which option would help EPCorp most: selling all its products on Amazon or improving its own data... View Details
Cook, Jacob M. "EPCorp: What Story Does the Data Tell?" Harvard Business Publishing Case, 2024.
- July 2021
- Article
Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance
By: Goran Calic and Maryam Ghasemaghaei
Over the last decade, the use big data in firms has seen a rapid increase. Whilst scholars have begun to unpack the relationship between big data utilisation and financial performance, significant uncertainty exists about the ethical uses of this new asset. Whether... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Performance Improvement; Organizational Change and Adaptation
Calic, Goran, and Maryam Ghasemaghaei. "Big Data for Social Benefits: Innovation as a Mediator of the Relationship between Big Data and Corporate Social Performance." Journal of Business Research 131 (July 2021): 391–401.