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(1,326)
- News (118)
- Research (991)
- Events (12)
- Multimedia (2)
- Faculty Publications (471)
Show Results For
-
All HBS Web
(1,326)
- News (118)
- Research (991)
- Events (12)
- Multimedia (2)
- Faculty Publications (471)
- August 2016 (Revised November 2019)
- Case
eSig: Growth Analysis
By: Mark Roberge and Tom Eisenmann
eSig, an early-stage startup, offers an electronic signature application as a "freemium" product, i.e., users can upgrade from a free basic version to a premium version by paying a subscription fee. Using 9 months of data from 50,000 user activations (available as a...
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Keywords:
Esignature;
Computer Software;
Business or Company Management;
Marketing Channels;
Applications and Software;
Business Startups;
Computer Industry
Roberge, Mark, and Tom Eisenmann. "eSig: Growth Analysis." Harvard Business School Case 817-009, August 2016. (Revised November 2019.)
- April 2006
- Background Note
Informing Service Management with Customer Data
By: Frances X. Frei and Dennis Campbell
Taught as the third module in a Harvard Business School course on Managing Service Operations. Explores the role of data analysis in ongoing service management. Describes how to realize the maximum amount of value from analyses and use this information in...
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Keywords:
Decision Making;
Design;
Analytics and Data Science;
Service Operations;
Mathematical Methods;
Value
Frei, Frances X., and Dennis Campbell. "Informing Service Management with Customer Data." Harvard Business School Background Note 606-097, April 2006.
- October 1993 (Revised August 1996)
- Background Note
Forecasting with Regression Analysis
Provides an example of regression in one of its most important roles. Relating probabilistic forecasts based on past data to decision analysis.
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Keywords:
Management Analysis, Tools, and Techniques;
Analytics and Data Science;
Forecasting and Prediction;
Mathematical Methods
Schleifer, Arthur, Jr. "Forecasting with Regression Analysis." Harvard Business School Background Note 894-007, October 1993. (Revised August 1996.)
- 2007
- Text Book
Business Analysis and Valuation: Using Financial Statements
By: Paul M. Healy and Krishna G. Palepu
Financial statements are the basis for a wide range of business analysis. Managers, securities analysts, bankers, and consultants all use them to make business decisions. There is strong demand among business students for course materials that provide a framework for...
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Healy, Paul M., and Krishna G. Palepu. Business Analysis and Valuation: Using Financial Statements. 4th ed. Mason, OH: Thomson South-Western, 2007.
- October 2002 (Revised February 2003)
- Case
Administrative Data Project (A)
By: Lynda M. Applegate and Donald E. Heller
Encourages analysis of the implementation of a large technical infrastructure and process transformation project within a university setting. Enables an instructor to teach change management, leadership, and technical project management skills.
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Keywords:
Teaching;
Change Management;
Management Practices and Processes;
Transformation;
Learning;
Competency and Skills;
Leadership Development;
Non-Governmental Organizations;
Education Industry
Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (A)." Harvard Business School Case 803-051, October 2002. (Revised February 2003.)
- Fast Answer
U.S. economic data
H.15 - Interest rates for select U.S. government and Federal Reserve series, published every business day. Bureau of Economic Analysis (BEA) Data - U.S. national data and a variety of...
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Economic Analysis of the Digital Economy
As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on...
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- Article
Collection, Exploration and Analysis of Crowdfunding Social Networks
By: Miao Cheng, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang and Po-Ling Loh
Crowdfunding is a recent financing phenomenon that is gaining wide popularity as a means for startups to raise seed funding for their companies. This paper presents our initial results at understanding this phenomenon using an exploratory data driven approach. We have...
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Cheng, Miao, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang, and Po-Ling Loh. "Collection, Exploration and Analysis of Crowdfunding Social Networks." Proceedings of the International Workshop on Exploratory Search in Databases and the Web 3rd (2016): 25–30.
- 2015
- Book
Economic Analysis of the Digital Economy
By: Avi Goldfarb, Shane Greenstein and Catherine Tucker
As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on economic...
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Goldfarb, Avi, Shane Greenstein and Catherine Tucker, eds. Economic Analysis of the Digital Economy. University of Chicago Press, 2015.
- October 2018
- Case
Fundraising at St. Camillus Hospital
By: Srikant M. Datar and Caitlin N. Bowler
St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital...
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Keywords:
Data Analysis;
Data Privacy;
Data Governance;
Non-profit;
Health Care;
Fundraising;
Data Security;
Analytics and Data Science;
Safety;
Governance;
Ethics;
Health Care and Treatment;
Cybersecurity
Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
- 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...
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- 12 Jan 2023
- News
‘Debiasing’ Debt with Data
records on borrowers, and put the data through a random forest regression, a type of analysis known for producing good predictions that can be readily understood. When they tested the resulting model, the...
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Keywords:
Ralph Ranalli
- 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...
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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.
- 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...
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Soltes, Eugene F. "Incorporating Field Data into Archival Research." Journal of Accounting Research 52, no. 2 (May 2014): 521–540.
- November 5, 2021
- Article
Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide...
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Keywords:
Behavioral Economics;
Data Analysis;
Organizations;
Decision Making;
Analytics and Data Science;
Analysis;
Learning
Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
- 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...
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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.)
- Fast Answer
Africa: research, news, analysis
business environment. Search Tip: Go to Data Tool to download specific indicators of interest, including indicators relating to consumer consumption, income, demographics, etc. Oxford Business Group Country Reports Useful for:...
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- December 2022 (Revised February 2023)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher T. Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google...
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Keywords:
Data Mining;
Productivity;
Monitoring;
Data Analysis;
AI and Machine Learning;
Knowledge Management;
Operations;
Problems and Challenges;
Employee Relationship Management;
Information Technology Industry;
Technology Industry;
Information Industry;
Boston;
Israel
Stanton, Christopher T., and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised February 2023.)
- 2013
- Chapter
Privacy Breach Analysis in Social Networks
By: Frank Nagle
Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the...
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Keywords:
Crime and Corruption;
Social and Collaborative Networks;
Social Media;
Cybersecurity;
Analytics and Data Science
Nagle, Frank. "Privacy Breach Analysis in Social Networks." In Mining Social Networks and Security Informatics, edited by Tansel Ozyer, Zeki Erdem, Jon Rokne, and Suheil Khoury, 63–77. Springer Science + Business Media, 2013.
- 16 Oct 2019
- Working Paper Summaries