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Publications

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    • All HBS Web  (1,522)
      • Faculty Publications  (446)

      Data ScienceRemove Data Science →

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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... View Details
      Keywords: Data Science; Digital Marketing; Marketing; Internet and the Web; Analytics and Data Science; Disruption
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      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
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      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... View Details
      Keywords: Patents; Analytics and Data Science; Corporate Finance; Research; Problems and Challenges
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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

      By: Sara Fleiss, Adi Sunderam, Luis M. Viceira and Caitlin Carmichael
      Keywords: Big Data; Hedge Fund; Crowdsourcing; Investment Fund; Quantitative Hedge Fun; Algorithmic Data; Analytics and Data Science
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      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... View Details
      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)
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      Kontokosta, Constantine E., Mitchell Weiss, Christine Snively, and Sarah Gulick. "NYC311." Harvard Business School Case 818-056, October 2017. (Revised November 2017.)
      • 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... View Details
      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
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      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... View Details
      Keywords: Data Science; Analytics and Data Science; Organizational Change and Adaptation; Competitive Strategy; Problems and Challenges; Innovation Leadership
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      Datar, Srikant M., and Caitlin N. Bowler. "Data Science at Target." Harvard Business School Case 118-016, October 2017. (Revised July 2018.)
      • 2017
      • Chapter

      Venture Capital Data: Opportunities and Challenges

      By: Steven N. Kaplan and Josh Lerner
      This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better. View Details
      Keywords: Venture Capital; Analytics and Data Science; Research
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      Kaplan, Steven N., and Josh Lerner. "Venture Capital Data: Opportunities and Challenges." Chap. 10 in Measuring Entrepreneurial Businesses: Current Knowledge and Challenges. Vol. 75, edited by John Haltiwanger, Erik Hurst, Javier Miranda, and Antoinette Schoar. Studies in Income and Wealth (NBER). Chicago: University of Chicago Press, 2017.
      • August 2017 (Revised July 2019)
      • Case

      GROW: Using Artificial Intelligence to Screen Human Intelligence

      By: Ethan Bernstein, Paul McKinnon and Paul Yarabe
      Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro... View Details
      Keywords: Big Data; Artificial Intelligence; Talent and Talent Management; Recruitment; Selection and Staffing; Human Resources; Information Technology; AI and Machine Learning; Analytics and Data Science; Financial Services Industry; Air Transportation Industry; Advertising Industry; Manufacturing Industry; Technology Industry; Japan
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      Bernstein, Ethan, Paul McKinnon, and Paul Yarabe. "GROW: Using Artificial Intelligence to Screen Human Intelligence." Harvard Business School Case 418-020, August 2017. (Revised July 2019.)
      • August 2017 (Revised December 2018)
      • Case

      Tamarin App: Natural Language Processing

      By: Srikant M. Datar and Caitlin N. Bowler
      In this case, students explore the challenges of using sentiment analysis to monitor and understand public perception around a software application, Tamarin SEO App. Technical topics include building a filtering classifier using naive Bayes and sentiment analysis This... View Details
      Keywords: Data Science; Branding; Data Analytics; Analytics and Data Science; Brands and Branding; Analysis; Perception; Planning
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      Datar, Srikant M., and Caitlin N. Bowler. "Tamarin App: Natural Language Processing." Harvard Business School Case 118-015, August 2017. (Revised December 2018.)
      • August 2017 (Revised August 2018)
      • Case

      Busbud: Building a Data Company

      By: Srikant M. Datar, Alistair Croll and Caitlin N. Bowler
      The case features the work of LP Maurice (HBS '08) as he decides to take on the fragmented bus travel industry and launch an online business that aggregates and shares bus schedules for routes around the world. His first challenge: finding that the data he needs is... View Details
      Keywords: Data Science; Analytics and Data Science; Business Startups; Knowledge Acquisition; Customers; Measurement and Metrics; Transportation Industry
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      Datar, Srikant M., Alistair Croll, and Caitlin N. Bowler. "Busbud: Building a Data Company." Harvard Business School Case 118-011, August 2017. (Revised August 2018.)
      • August 2017 (Revised August 2018)
      • Case

      The Oakland Athletics: Strategy & Metrics for a Budget

      By: Srikant M. Datar and Caitlin N. Bowler
      This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
      Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
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      Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
      • May 2017 (Revised March 2018)
      • Case

      Predicting Consumer Tastes with Big Data at Gap

      By: Ayelet Israeli and Jill Avery
      CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
      Keywords: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
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      Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
      • Article

      Selecting the Right Growth Metrics: Fewer but Better

      By: Leonard A. Schlesinger
      Keywords: Supply Chains; Big Data; Corporations; Franchising; Performance Metrics; Analytics and Data Science
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      Schlesinger, Leonard A. "Selecting the Right Growth Metrics: Fewer but Better." Stanford Social Innovation Review (website) (April 21, 2017).
      • April 2017
      • Teaching Note

      Basecamp: Pricing

      By: Frank V. Cespedes
      This Teaching Note accompanies HBS No. 817-067 “Basecamp: Pricing” in which 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. View Details
      Keywords: Analytics and Data Science; Price; Analysis; Customers; Product Marketing
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      Cespedes, Frank V. "Basecamp: Pricing." Harvard Business School Teaching Note 817-128, April 2017.
      • March 2017 (Revised March 2022)
      • Case

      Flashion: Art vs. Science in Fashion Retailing

      By: Kris Ferreira and Karim R. Lakhani
      Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
      Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
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      Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
      • March 27, 2017
      • Article

      How the Water Industry Learned to Embrace Data

      By: Frank V. Cespedes and Amir Peleg
      Most current talk about “big data” seems to assume the disintermediation or replacement of physical assets by digital technologies. But a bigger and more impactful trend is the use of online tools to improve physical asset utilization in many traditional off-line... View Details
      Keywords: Information Technology; Analytics and Data Science; Organizational Change and Adaptation; Utilities Industry
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      Cespedes, Frank V., and Amir Peleg. "How the Water Industry Learned to Embrace Data." Harvard Business Review (website) (March 27, 2017).
      • 2017
      • Working Paper

      Why and How Investors Use ESG Information: Evidence from a Global Survey

      By: Georgios Serafeim
      Using survey data from a sample of senior investment professionals from mainstream (i.e., not SRI funds) investment organizations, we provide insights into why and how investors use reported environmental, social, and governance (ESG) information. The primary reason... View Details
      Keywords: Investment Management; Sustainability; ESG; ESG (Environmental, Social, Governance) Performance; Investment Fund; Investment Strategy; Corporate Accountability; Activist Shareholder; Engagement; Environment; Climate Change; Customers; Customer Satisfaction; Employee Engagement; Global Warming; Investment; Decision Making; Environmental Sustainability; Performance Expectations
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      Serafeim, Georgios. "Why and How Investors Use ESG Information: Evidence from a Global Survey." Harvard Business School Working Paper, No. 17-079, February 2017.
      • February 2017 (Revised August 2018)
      • Case

      Sarah Powers at Automated Precision Products

      By: Jeffrey T. Polzer, Michael Norris, Julia Kelley and Kristina Tobio
      In 2017, Sarah Powers, VP of Sales at an automation hardware firm, is trying to understand why some members of her sales team have been underperforming. She is tasked with analyzing her firm’s email and calendar data to try to find relationships between communications... View Details
      Keywords: People Analytics; Sales Attainment; Communication Networks; Data; Human Resources; Business Processes; Sales; Communication; Analytics and Data Science; Analysis; Industrial Products Industry; Manufacturing Industry; United States
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      Polzer, Jeffrey T., Michael Norris, Julia Kelley, and Kristina Tobio. "Sarah Powers at Automated Precision Products." Harvard Business School Case 417-072, February 2017. (Revised August 2018.)
      • February 2017 (Revised April 2018)
      • Case

      Shopkick: The Power of Shopper Data

      By: John Deighton, Allison Ciechanover and Mike Horia Todorescu
      Keywords: Big Data; Mobile App; Marketing; Mobile and Wireless Technology; Analytics and Data Science
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      Deighton, John, Allison Ciechanover, and Mike Horia Todorescu. "Shopkick: The Power of Shopper Data." Harvard Business School Case 517-069, February 2017. (Revised April 2018.)
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