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Show Results For
- All HBS Web
(7,586)
- People (3)
- News (1,357)
- Research (5,004)
- Events (123)
- Multimedia (55)
- Faculty Publications (3,396)
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- August 1994
- Case
Data Flow
By: Norman A. Berg and James Weber
Berg, Norman A., and James Weber. "Data Flow." Harvard Business School Case 395-030, August 1994.
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity." Decision Support Systems 120 (2019): 38–49.
- January 2018
- Case
Viacom: Democratization of Data Science
By: Shane Greenstein and Christine Snively
In two short years, Viacom’s Data Science & Advanced Analytics team built a web platform called Science Central that allowed employees from Viacom’s 20+ cable networks to access television audience insights through three data science apps. In the past, employees would... View Details
Keywords: Data Science; Big Data; Digital Platforms; Analytics and Data Science; Expansion; Strategic Planning
Greenstein, Shane, and Christine Snively. "Viacom: Democratization of Data Science." Harvard Business School Case 618-016, January 2018.
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- 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.
- March 2022 (Revised January 2025)
- Technical Note
Exploratory Data Analysis
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Technical Note 622-098, March 2022. (Revised January 2025.)
- September 1994 (Revised June 2017)
- Case
Chemalite, Inc. (B): Cash Flow Analysis
By: Robert Simons and Antonio Davila
Students are asked to use actual and pro forma financial statements to prepare a statement of cash flows under both the direct and indirect method. View Details
Keywords: Cash Flow Analysis; Strategy Execution; Management Control Systems; Analysis; Cash Flow; Financial Statements
Simons, Robert, and Antonio Davila. "Chemalite, Inc. (B): Cash Flow Analysis." Harvard Business School Case 195-130, September 1994. (Revised June 2017.)
- October 2012
- Article
Data Scientist: The Sexiest Job of the 21st Century
Key to the effective use of big data are the analytical professionals known as "data scientists," who can both manipulate large and unstructured data sources and create insights from them. Data scientists are difficult to hire and retain, but their skills will be... View Details
Keywords: Big Data; Data Scientists; Business Analytics; Analytics and Data Science; Mathematical Methods; Jobs and Positions
Davenport, Thomas H., and D. J. Patil. "Data Scientist: The Sexiest Job of the 21st Century." Harvard Business Review 90, no. 10 (October 2012): 70–76.
- Forthcoming
- Article
Transitory and Permanent Cash Flow Shocks in Debt Contract Design
By: Le Ma, Anywhere Sikochi and Yajun Xiao
We examine how lenders design contracts to account for transitory and permanent cash flow shocks facing borrowers. We find that volatile transitory cash flow shocks are associated with fewer liquidity covenants, indicating financial flexibility that enables firms to... View Details
Keywords: Debt Covenants; Cash Flow Shocks; Debt Contracting; Likelihood Of Default; Cash Flow; System Shocks
Ma, Le, Anywhere Sikochi, and Yajun Xiao. "Transitory and Permanent Cash Flow Shocks in Debt Contract Design." Journal of Financial and Quantitative Analysis (forthcoming). (Pre-published online February 25, 2025.)
- 2019
- Article
Big Data
By: John A. Deighton
Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified that, the paper argues, have large consequences for the social order. The infrastructure that runs... View Details
Keywords: Big Data; Digital Infrastructure; Privacy; Algorithm; Data Generators; Marketplace Icon; Analytics and Data Science; Infrastructure; Power and Influence; Society
Deighton, John A. "Big Data." Consumption, Markets & Culture 22, no. 1 (2019): 68–73.
- 2024
- Working Paper
Transitory and Permanent Cash Flow Shocks in Debt Contract Design
By: Le Ma, Anywhere Sikochi and Yajun Xiao
We examine how lenders design contracts to account for transitory and permanent cash flow shocks facing borrowers. We find that volatile transitory cash flow shocks are associated with fewer liquidity covenants, indicating financial flexibility that enables firms to... View Details
Keywords: Debt Covenants; Cash Flow Shocks; Debt Contracting; Likelihood Of Default; Cash Flow; System Shocks
Ma, Le, Anywhere Sikochi, and Yajun Xiao. "Transitory and Permanent Cash Flow Shocks in Debt Contract Design." Harvard Business School Working Paper, No. 22-026, October 2021. (Revised February 2024. Journal of Financial and Quantitative Analysis, Conditional Accept.)
- Research Summary
Personal Data in Marketing
By: John A. Deighton
Between 10% and 20% of all marketing activity in the United States, and a smaller proportion internationally, relies on data about individuals, whether personally identifying or pseudonomized. These data flow across a system of established and emerging firms operating... View Details
- October 2017 (Revised July 2018)
- Case
Data Science at Target
By: Srikant M. Datar and Caitlin N. Bowler
Paritosh Desai joined Target.com in 2013 as VP of Business Intelligence, Analytics & Testing to explore how the retailer could use its relatively small but thriving e-commerce arm to drive sales and win customers. The case explores the technological and organizational... View Details
Keywords: Data Science; Analytics and Data Science; Organizational Change and Adaptation; Competitive Strategy; Problems and Challenges; Innovation Leadership
Datar, Srikant M., and Caitlin N. Bowler. "Data Science at Target." Harvard Business School Case 118-016, October 2017. (Revised July 2018.)
- 2014
- Chapter
Remapping the Flow of Funds
By: Juliane Begenau, Monika Piazzesi and Martin Schneider
This article argues that quantitative analysis of credit market positions would benefit tremendously if the additional information about the structure of payment streams were more readily available. Most available data on credit market positions, such as the Flow of... View Details
Begenau, Juliane, Monika Piazzesi, and Martin Schneider. "Remapping the Flow of Funds." In Risk Topography: Systemic Risk and Macro Modeling, edited by Markus Brunnermeier and Arvind Krishnamurthy. National Bureau of Economic Research Conference Report. University of Chicago Press, 2014.
- 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
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- July 1992 (Revised December 1992)
- Background Note
Understanding the Statement of Cash Flows
Describes the purpose, preparation, and uses of the statement of cash flows. Intended as an introduction to the statement. Illustrates and explains the differences and similarities between direct cash flow statements, indirect cash flow statements, and funds flow... View Details
Wilson, G. Peter. "Understanding the Statement of Cash Flows." Harvard Business School Background Note 193-027, July 1992. (Revised December 1992.)
- February 2017 (Revised April 2018)
- Case
Shopkick: The Power of Shopper Data
By: John Deighton, Allison Ciechanover and Mike Horia Todorescu
Keywords: Big Data; Mobile App; Marketing; Mobile and Wireless Technology; Analytics and Data Science
Deighton, John, Allison Ciechanover, and Mike Horia Todorescu. "Shopkick: The Power of Shopper Data." Harvard Business School Case 517-069, February 2017. (Revised April 2018.)
- 2017
- Working Paper
Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model
By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna
From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details