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All HBS Web
(1,523)
- Faculty Publications (424)
- 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.)
- June 2018
- Article
Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged
By: Clarence Lee, Elie Ofek and Thomas Steenburgh
We study how digital service firms can develop an active customer base, focusing on two questions. First, how does the way that customers use the service postadoption to meet their own needs (personal usage) and to interact with one another (social usage) vary across...
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Keywords:
Customer Engagement;
Adoption Routes;
Word-of-Mouth;
Digital Marketing;
Bayesian Estimation;
Customers;
Communication;
Consumer Behavior;
Marketing;
Internet and the Web;
Analytics and Data Science
Lee, Clarence, Elie Ofek, and Thomas Steenburgh. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged." Management Science 64, no. 6 (June 2018): 2473–2495. (Lead Article.)
- May 2018 (Revised February 2019)
- Case
The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft
By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb
As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the...
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Keywords:
Internet and the Web;
Business Ventures;
Customers;
Analytics and Data Science;
Safety;
Corporate Strategy;
Competitive Strategy;
Technology Industry
Rayport, Jeffrey F., Julia Kelley, and Nathaniel Schwalb. "The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft." Harvard Business School Case 818-111, May 2018. (Revised February 2019.)
- May 2018 (Revised June 2018)
- Case
Cowen Inc.: Leveraging Data
By: Boris Groysberg, Sarah Abbott and Annelena Lobb
Cowen Inc.’s broker-dealer, Cowen and Company, LLC, boasted a number of analysts who had made prescient stock calls on the basis of creative data analysis. Now Cowen Inc. had opened a new subsidiary, Kyber, which would attempt to monetize new data science products....
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Keywords:
Data Science;
Equity Research;
Research Analysts;
Investment;
Analytics and Data Science;
Equity;
Research;
Analysis;
Competitive Strategy
Groysberg, Boris, Sarah Abbott, and Annelena Lobb. "Cowen Inc.: Leveraging Data." Harvard Business School Case 418-035, May 2018. (Revised June 2018.)
- May 2018
- Case
The Multiple Myeloma Research Foundation's Answer Fund
By: Richard G. Hamermesh and Matthew G. Preble
Keywords:
Data Analytics;
Customer Focus and Relationships;
Customer Relationship Management;
Cost vs Benefits;
Investment Return;
Health Care and Treatment;
Innovation Leadership;
Intellectual Property;
Knowledge Sharing;
Knowledge Dissemination;
Leadership;
Leading Change;
Resource Allocation;
Goals and Objectives;
Marketing Communications;
Performance;
Programs;
Projects;
Business and Community Relations;
Business and Stakeholder Relations;
Networks;
Partners and Partnerships;
Research and Development;
Genetics;
Behavior;
Motivation and Incentives;
Social and Collaborative Networks;
Nonprofit Organizations;
Strategy;
Health Industry;
Pharmaceutical Industry;
Biotechnology Industry;
United States
- 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.
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing...
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Keywords:
Forecasting Models;
Simulation Methods;
Regional Economic Activity: Growth, Development, Environmental Issues, And Changes;
Geographic Location;
Local Range;
Transition;
Analytics and Data Science;
Measurement and Metrics;
Economic Growth;
Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- February 2018
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques.
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- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural...
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- 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...
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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.
- January 2018
- Article
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for...
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Glaeser, Edward L., Scott Duke Kominers, Michael Luca, and Nikhil Naik. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life." Economic Inquiry 56, no. 1 (January 2018): 114–137.
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated...
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Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- December 2017
- Teaching Note
Yemeksepeti: Growing and Expanding the Business Model through Data
By: William R. Kerr and Alexis Brownell
Teaching Note for HBS No. 817-095.
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- Article
Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies
By: John A. Deighton
The article discusses the notion of advertising as a profession in relation to the impact of digital analytics and data-driven marketing. Topics include the history of internet marketing, the investments of the content-driven internet firms Facebook Inc. and Google...
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Keywords:
Data Science;
Digital Marketing;
Marketing;
Internet and the Web;
Analytics and Data Science;
Disruption
Deighton, John A. "Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies." Journal of Advertising Research 57, no. 4 (December 2017): 357–361.
- November 28, 2017
- Editorial
Active Investing v.2.0
By: Gabriel Karageorgiou and George Serafeim
Keywords:
Investment;
Investing;
Technology;
Big Data;
Quantitative Analysis;
ESG;
ESG (Environmental, Social, Governance) Performance;
Sustainability;
Analytics and Data Science
Karageorgiou, Gabriel, and George Serafeim. "Active Investing v.2.0." Pensions & Investments (online) (November 28, 2017).
- 2017
- Working Paper
The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond
By: Josh Lerner
Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative...
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Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond." Harvard Business School Working Paper, No. 18-042, November 2017.
- October 2017
- Case
Quantopian: A New Model for Active Management
Keywords:
Big Data;
Hedge Fund;
Crowdsourcing;
Investment Fund;
Quantitative Hedge Fun;
Algorithmic Data;
Analytics and Data Science
Fleiss, Sara, Adi Sunderam, Luis M. Viceira, and Caitlin Carmichael. "Quantopian: A New Model for Active Management." Harvard Business School Case 218-046, October 2017.
- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded...
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Keywords:
New York City;
NYC;
311;
NYC311;
Big Data;
Equal Access;
Bias;
Data Analysis;
Public Entrepreneurship;
Urban Informatics;
Predictive Analytics;
Chief Data Officer;
Data Analytics;
Cities;
City Leadership;
Analytics and Data Science;
Analysis;
Prejudice and Bias;
Entrepreneurship;
Public Sector;
City;
Public Administration Industry;
New York (city, NY)
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I...
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Keywords:
Machine Learning;
Policy Implementation;
Empirical Research;
Inspection;
Occupational Safety;
Occupational Health;
Regulation;
Analysis;
Forecasting and Prediction;
Policy;
Operations;
Supply Chain Management;
Safety;
Manufacturing Industry;
Construction Industry;
United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- 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...
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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.)