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All HBS Web
(1,352)
- News (118)
- Research (985)
- Events (12)
- Multimedia (2)
- Faculty Publications (471)
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- 2006
- Book
Service Productivity Management: Improving Service Performance Using Data Envelopment Analysis
By: H. David Sherman and Joe Zhu
Here is an in-depth guide to the most powerful available benchmarking technique for improving service organization performance—Data Envelopment Analysis (DEA). The book outlines DEA as a benchmarking technique, identifies high cost service units, isolates specific...
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Sherman, H. David, and Joe Zhu. Service Productivity Management: Improving Service Performance Using Data Envelopment Analysis. Boston, MA: Springer, 2006.
- March 2022 (Revised July 2022)
- 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....
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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 July 2022.)
- 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.
- 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...
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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.
- August 2005 (Revised March 2006)
- Exercise
Data Analysis Exercise
By: Frances X. Frei
Frei, Frances X. "Data Analysis Exercise." Harvard Business School Exercise 606-034, August 2005. (Revised March 2006.)
- Teaching Interest
Data Science for Managers
By: Chiara Farronato
This new course is taught as a required course in the first year MBA curriculum as of a.y. 2023-2024. It provides students with the foundations of data science to become effective data-driven managers. The course covers the basics of visualization, statistical and...
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- April 2008
- Background Note
Introduction to Data Analysis with Data Desk
By: Frances X. Frei
Keywords:
Theory
Frei, Frances X. "Introduction to Data Analysis with Data Desk." Harvard Business School Background Note 608-154, April 2008.
- February 2005 (Revised November 2006)
- Background Note
Using Data Desk for Statistical Analysis
By: Frances X. Frei and Dennis Campbell
Describes how to use the Data Desk software package to perform statistical analysis.
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Keywords:
Mathematical Methods
Frei, Frances X., and Dennis Campbell. "Using Data Desk for Statistical Analysis." Harvard Business School Background Note 605-060, February 2005. (Revised November 2006.)
- January 2019
- Supplement
Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis
By: Jill Avery and Gerald Zaltman
In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar...
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Keywords:
Brand Management;
Market Research;
Brand Positioning;
Value Proposition;
Consumer Products;
Fast Moving Consumer Goods;
Qualitative Methods;
Zaltman Metaphor Elicitation Technique;
ZMET;
Data Analysis;
Marketing;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Marketing Communications;
Analytics and Data Science;
Analysis;
Consumer Products Industry;
Food and Beverage Industry;
Advertising Industry;
United States;
North America;
Italy
Avery, Jill, and Gerald Zaltman. "Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis." Harvard Business School Supplement 519-062, January 2019.
- September 2016 (Revised May 2018)
- Case
Zurich Insurance: Global Job Structure and Data Analysis
By: Boris Groysberg and Katherine Connolly
Zurich Insurance was undergoing organizational change after implementing five new people practices focused on manager development, diversity and inclusion, job model and data analytics, recruitment, and talent pipeline. The case “Zurich Insurance: Fostering Key People...
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Keywords:
Managing Change;
Organizational Behavior;
Organizational Architecture;
Organizational Change and Adaptation;
Leadership;
Human Capital;
Change Management;
Organizational Structure;
Insurance;
Organizational Culture;
Globalization;
Human Resources;
Insurance Industry
Groysberg, Boris, and Katherine Connolly. "Zurich Insurance: Global Job Structure and Data Analysis." Harvard Business School Case 417-038, September 2016. (Revised May 2018.)
- Article
DEA Model with Shared Resources and Efficiency Decomposition
By: Yao Chen, Juan Du, H. David Sherman and Joe Zhu
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs. In many real world scenarios, DMUs have a two-stage network process with shared input...
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Chen, Yao, Juan Du, H. David Sherman, and Joe Zhu. "DEA Model with Shared Resources and Efficiency Decomposition." European Journal of Operational Research 207, no. 1 (November 2010): 339–349.
- June 2020
- Background Note
Customer Management Dynamics and Cohort Analysis
By: Elie Ofek, Barak Libai and Eitan Muller
The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s...
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Keywords:
Cohort Analysis;
Customers;
Analytics and Data Science;
Segmentation;
Analysis;
Customer Value and Value Chain
Ofek, Elie, Barak Libai, and Eitan Muller. "Customer Management Dynamics and Cohort Analysis." Harvard Business School Background Note 520-122, June 2020.
- August 2021 (Revised February 2024)
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team...
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Keywords:
Data Science;
Digital Marketing;
Analysis;
Forecasting and Prediction;
Technological Innovation;
Information Technology;
Sports Industry;
San Francisco;
United States
Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised February 2024.)
- May 2018
- Exercise
Data Visualization & Communication Exercise
By: Srikant M. Datar and Caitlin N. Bowler
This exercise uses the 1986 Challenger shuttle disaster to explore the relationship between data visualization, effective communication, and decision-making. Students review and analyze excerpts from the 13 charts engineers presented to NASA executives the night before...
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Keywords:
Visualization;
Data;
Analytics and Data Science;
Communication;
Performance Effectiveness;
Decision Making;
Analysis
Datar, Srikant M., and Caitlin N. Bowler. "Data Visualization & Communication Exercise." Harvard Business School Exercise 118-107, May 2018.
- Article
Evaluating and Managing Tramp Shipping Lines Performances: A New Methodology Combining Balanced Scorecard and Network DEA
By: Ying-Chen Hsu, Cheng-Chi Chung, Hsuan-Shih Lee and H. David Sherman
The shipping industry is essential for the economic development of nations like Taiwan as a means delivering and receiving cargo. Shipping has been depressed since 2008 as a result of the financial crisis increasing pressure for the shipping lines to operate more...
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Keywords:
Network Data Envelopment Analysis;
Shipping Line;
Centralized Approach;
Cross-efficiency;
Balanced Scorecard;
Performance Evaluation
Hsu, Ying-Chen, Cheng-Chi Chung, Hsuan-Shih Lee, and H. David Sherman. "Evaluating and Managing Tramp Shipping Lines Performances: A New Methodology Combining Balanced Scorecard and Network DEA." INFOR: Information Systems and Operational Research 51, no. 3 (August 2013): 130–141.
- February 1992 (Revised March 1992)
- Case
Telefonica de Argentina S.A.: Analysis of Limited Data
By: David F. Hawkins
Hawkins, David F. "Telefonica de Argentina S.A.: Analysis of Limited Data." Harvard Business School Case 192-079, February 1992. (Revised March 1992.)
- 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...
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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.
- August 2018 (Revised September 2018)
- Case
LendingClub (A): Data Analytic Thinking (Abridged)
By: Srikant M. Datar and Caitlin N. Bowler
LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns...
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Keywords:
Data Science;
Data Analytics;
Investing;
Loans;
Investment;
Financing and Loans;
Analytics and Data Science;
Analysis;
Forecasting and Prediction;
Business Model
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
- July 2020
- Case
Applying Data Science and Analytics at P&G
By: Srikant M. Datar, Sarah Mehta and Paul Hamilton
Set in December 2019, this case explores how P&G has applied data science and analytics to cut costs and improve outcomes across its business units. The case provides an overview of P&G’s approach to data management and governance, and reviews the challenges associated...
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Keywords:
Data Science;
Analytics;
Analysis;
Information;
Information Management;
Information Types;
Innovation and Invention;
Strategy;
Analytics and Data Science;
Consumer Products Industry;
United States;
Ohio
Datar, Srikant M., Sarah Mehta, and Paul Hamilton. "Applying Data Science and Analytics at P&G." Harvard Business School Case 121-006, July 2020.