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Show Results For
-
All HBS Web
(1,700)
- People (9)
- News (315)
- Research (1,021)
- Events (12)
- Multimedia (10)
- Faculty Publications (833)
- 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.)
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective....
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Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- November 1998
- Article
Modeling Large Data Sets in Marketing
By: Sridhar Balasubramanian, Sunil Gupta, Wagner Kamakura and Michel Wedel
Balasubramanian, Sridhar, Sunil Gupta, Wagner Kamakura, and Michel Wedel. "Modeling Large Data Sets in Marketing." Special Issue on Large Data Sets in Business Economics. Statistica Neerlandica 52, no. 3 (November 1998).
- 23 Oct 2019
- News
Preparing Leaders to Leverage Artificial Intelligence
as Competing on Business Analytics and Big Data. In 2018, HBS led the development of the online Harvard Business Analytics Program. This certificate program—taught by business, engineering, and statistics...
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- 26 Jul 2018
- News
Running the Numbers
people to buy into a new vision or better way of doing things is my favorite kind of challenge.” Today, as CEO of the Kraft Analytics Group (KAGR), a Massachusetts-based tech-intensive company focused on data management, strategic...
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Keywords:
Deborah Blagg
- November 2016 (Revised April 2017)
- Case
Basecamp: Pricing
By: Frank Cespedes and Robb Fitzsimmons
A data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture’s latest version of its project management software product.
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Keywords:
Pricing;
Entrepreneurial Management;
Data Analysis;
Marketing;
Customer Acquisition;
Customer Retention;
Value Proposition;
Sales Management;
Product Management;
Market Research;
Life Time Value;
Testing;
Entrepreneurship;
Analytics and Data Science;
Customers;
Value;
Sales;
Product Marketing;
United States
Cespedes, Frank, and Robb Fitzsimmons. "Basecamp: Pricing." Harvard Business School Case 817-067, November 2016. (Revised April 2017.)
- December 1998
- Case
Origins of National Income Accounting
By: David A. Moss and Joseph P Gownder
Set in the Great Depression, this case explores the origins of national income accounting in the United States. Highlights Senator La Follette's 1932 proposal for the federal government to begin collecting national income statistics.
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Keywords:
Accounting;
Financial Crisis;
Analytics and Data Science;
Mathematical Methods;
United States
Moss, David A., and Joseph P Gownder. "Origins of National Income Accounting." Harvard Business School Case 799-080, December 1998.
- Profile
Hayling Price
assumptions. "Digesting complicated topics through the case method has really sharpened my analytical tool kit," says Hayling. "I'm able to methodically unpack complex challenges and apply more intensive View Details
- 21 Oct 2021
- News
DraftKings Backs New VC Firm
and gaming, media and fan engagement, human performance, and data analytics and monetization.” The $60 million in initial funding, the Globe notes, includes capital from DraftKings as well as the ownership of the New England Patriots,...
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- June 2018 (Revised January 2019)
- Background Note
Visualizing Data & Effective Communication
By: Srikant M. Datar and Caitlin N. Bowler
This note explores three specific ways an analyst can use visualization. Section 1 considers visualization to explore data. Section 2 discusses visualization as a tool for developing a deeper understanding of trends and phenomena encoded in the data. Section 3...
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Keywords:
Data Visualization;
Graphical Guidelines;
Charts;
Analytics and Data Science;
Communication
Datar, Srikant M., and Caitlin N. Bowler. "Visualizing Data & Effective Communication." Harvard Business School Background Note 118-114, June 2018. (Revised January 2019.)
- 06 Dec 2021
- News
HBS Curricula Explore the Complexities of Innovation
of data management and analytics also led HBS to introduce Data Science for Managers, a new Required Curriculum elective for first-year MBA students. Then in their second year, they can choose from a range of data science courses (see...
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Keywords:
Jennifer Gillespie
- 01 Jun 2010
- News
The MBA at a Crossroads
criticized business schools for serving up largely vocational training lacking in the analytical rigor deemed necessary to lay claim to academic respectability. Spurred on by the reports, business schools forged an View Details
- Sep 08 2016
- Testimonial
Aligning Your Company's Strategy
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in...
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Keywords:
Empirical Methods;
Empirical Operations;
Statistical Methods And Machine Learning;
Statistical Interferences;
Research Analysts;
Analytics and Data Science;
Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- May 8, 2020
- Article
Which Covid-19 Data Can You Trust?
By: Satchit Balsari, Caroline Buckee and Tarun Khanna
The COVID-19 pandemic has produced a tidal wave of data, but how much of it is any good? And as a layperson, how can you sort the good from the bad? The authors suggest a few strategies for dividing the useful data from the misleading: Beware of data that’s too broad...
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Balsari, Satchit, Caroline Buckee, and Tarun Khanna. "Which Covid-19 Data Can You Trust?" Harvard Business Review (website) (May 8, 2020).
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
explained that the world of business analytics includes descriptive analytics (analyzing what has happened), predictive analytics (analyzing data to figure out what will...
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- 16 Nov 2011
- News
Are Humans Cost-Effective?
to unscramble “Scrambled State Capitals,” a presumably brute-force analytical exercise that should play to Watson’s strengths. Indeed, in a similar category, “The Northernmost Capital City,” Watson ran the table, answering all five...
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Keywords:
Garry Emmons
- July 2021
- Article
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events...
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Keywords:
Analytics and Data Science;
Lawsuits and Litigation;
Digital Transformation;
Welfare;
Health Industry
Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.
- Article
Core Earnings: New Data and Evidence
By: Ethan Rouen, Eric C. So and Charles C.Y. Wang
Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the...
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Keywords:
Core Earnings;
Transitory Earnings;
Non-operating Earnings;
Quantitative Disclosures;
Equity Valuation;
Big Data;
Business Earnings;
Financial Reporting;
Valuation;
Analytics and Data Science
Rouen, Ethan, Eric C. So, and Charles C.Y. Wang. "Core Earnings: New Data and Evidence." Journal of Financial Economics 142, no. 3 (December 2021): 1068–1091.
- February 2021
- Article
Testing the Waters: Behavior across Participant Pools
By: Erik Snowberg and Leeat Yariv
We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments...
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Keywords:
Lab Selection;
External Validity;
Experiments;
Behavior;
Surveys;
Analytics and Data Science;
Analysis
Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.