Filter Results:
(6,698)
Show Results For
- All HBS Web
(6,698)
- News (1,182)
- Research (4,339)
- Events (107)
- Multimedia (62)
- Faculty Publications (2,959)
Show Results For
- All HBS Web
(6,698)
- News (1,182)
- Research (4,339)
- Events (107)
- Multimedia (62)
- Faculty Publications (2,959)
- August 1984 (Revised May 1992)
- Case
MCI Telecommunications Corp. (C): Data Communications Market Opportunity Assessment
By: John F. Cady and Frank V. Cespedes
Cady, John F., and Frank V. Cespedes. "MCI Telecommunications Corp. (C): Data Communications Market Opportunity Assessment." Harvard Business School Case 585-097, August 1984. (Revised May 1992.)
- December 1987
- Article
A Stochastic Three-Way Unfolding Model for Asymmetric Binary Data
By: Wayne S. DeSarbo, Donald R. Lehmann, Morris B. Holbrook, William J. Havlena and Sunil Gupta
DeSarbo, Wayne S., Donald R. Lehmann, Morris B. Holbrook, William J. Havlena, and Sunil Gupta. "A Stochastic Three-Way Unfolding Model for Asymmetric Binary Data." Applied Psychological Measurement 11 (December 1987): 397–418.
- 25 Jun 2013
- News
For 23andMe, The Real Value Could Be In Its Data
- September 2010
- Article
Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?
By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010): 1519–1533.
Building small business utopia: how artificial intelligence and Big Data can increase small business success
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
- May–June 2015
- Article
Big Data: Big Deal or Big Hype?
By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
- Article
Ensembles of Overfit and Overconfident Forecasts
By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
- August 2001
- Article
Technology as a Complex Adaptive System: Evidence from Patent Data
Fleming, L., and O. Sorenson. "Technology as a Complex Adaptive System: Evidence from Patent Data." Research Policy 30, no. 7 (August 2001).
- February 2021
- Tutorial
Getting Started in RStudio Cloud
By: Chiara Farronato and Caleb Kwon
This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details
- February 2021
- Tutorial
T-tests: Theory and Practice
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- Article
Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis
By: R. Metters, F. Frei and V. Vargas
Metters, R., F. Frei, and V. Vargas. "Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis." Production and Operations Management 8, no. 3 (Fall 1999): 264–281.
- 03 Mar 2022
- News
Data Reveals Where Russia Chip Sanctions Will Sting the Most
- September 1987
- Article
Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data
By: J. Frankel and K. A. Froot
Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Japan; United States
Frankel, J., and K. A. Froot. "Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data." Journal of the Japanese and International Economies 1 (September 1987): 249–274. (Revised from NBER Working Paper No. 2216, April 1987.)
- 20 Apr 2015
- News
Chelsea Clinton on Using Data to Eliminate the Gender Gap
- 2011
- Chapter
Between Global and Local: The Invention of Data Privacy in the United States and France
Keywords: Social Issues; Knowledge Management; Information Management; Rights; United States; France
Trumbull, J. Gunnar. "Between Global and Local: The Invention of Data Privacy in the United States and France." In The Voice of the Citizen Consumer: A History of Market Research, Consumer Movements, and the Political Public Sphere, edited by Kerstin Bruckweh. Oxford: Oxford University Press, 2011.
- January 2021 (Revised March 2021)
- Exercise
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; Direct-to-consumer; DTC; Analytics and Data Science; Sales; Marketing; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Exercise 521-078, January 2021. (Revised March 2021.)