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  • All HBS Web  (575)
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    • Research  (356)
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  • 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... View Details
Keywords: Data Science; Big Data; Digital Platforms; Analytics and Data Science; Expansion; Strategic Planning
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Greenstein, Shane, and Christine Snively. "Viacom: Democratization of Data Science." Harvard Business School Case 618-016, January 2018.
  • 01 Jan 1977
  • Conference Presentation

Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data

By: James K. Sebenius and Richard Lehman
Keywords: Forecasting and Prediction; Research; Business and Government Relations; Energy Industry
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Sebenius, James K., and Richard Lehman. "Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data." Paper presented at the American Geophysical Union Annual Meeting, American Geophysical Union, January 01, 1977.
  • 2021
  • Working Paper

Invisible Primes: Fintech Lending with Alternative Data

By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details
Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit
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Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
  • 2020
  • Working Paper

Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
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Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
  • October 2007
  • Article

Supply and Demand Shifts in the Shorting Market

By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy
Using proprietary data on stock loan fees and quantities from a large institutional investor, we examine the link between the shorting market and stock prices. Employing a unique identification strategy, we isolate shifts in the supply and demand for shorting. We find... View Details
Keywords: Analytics and Data Science; Stocks; Financing and Loans; Price; Strategy; Demand and Consumers; Forecasting and Prediction; Investment Return; Markets; Information
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Cohen, Lauren, Karl B. Diether, and Christopher J. Malloy. "Supply and Demand Shifts in the Shorting Market." Journal of Finance 62, no. 5 (October 2007): 2061–2096. (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2007.)
  • March 2003
  • Background Note

A Short Note on the AccuFlow Excel Model

By: Jay O. Light
Describes an Excel spreadsheet workbook that facilitates the analysis of AccuFlow, Inc. View Details
Keywords: History; Analytics and Data Science; Cost of Capital; Negotiation; Capital; Business Model; Economic Systems; Machinery and Machining; Leveraged Buyouts; Business Startups; Equity
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Light, Jay O. "A Short Note on the AccuFlow Excel Model." Harvard Business School Background Note 203-089, March 2003.
  • September 13, 2023
  • Article

How the Best Chief Data Officers Create Value

By: Suraj Srinivasan and Robin Seibert
Despite the rapidly increasing prominence of data and analytics functions, the majority of chief data officers (CDOs) fail to value and price the business outcomes created by their data and analytics capabilities. It comes as no surprise then that many CDOs fall behind... View Details
Keywords: Value Creation; Analytics and Data Science; Measurement and Metrics; Leadership
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Srinivasan, Suraj, and Robin Seibert. "How the Best Chief Data Officers Create Value." Harvard Business Review (website) (September 13, 2023).
  • 2024
  • Case

EPCorp: What Story Does the Data Tell?

By: Jacob M. Cook
In EPCorp: What Story Does the Data Tell?, the Quick Case begins with Shivani Bahl researching problems with her company's website so that she can begin to analyze which option would help EPCorp most: selling all its products on Amazon or improving its own data... View Details
Keywords: Distribution Channels; E-commerce; Analytics and Data Science; Decision Making
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Cook, Jacob M. "EPCorp: What Story Does the Data Tell?" Harvard Business Publishing Case, 2024.
  • 15 May 2017
  • Sharpening Your Skills

The Promises and Limitations of Big Data

age where it was possible to allow data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Keywords: by Sean Silverthorne; Financial Services; Utilities; Public Administration; Health
  • May–June 2015
  • Article

Big Data: Big Deal or Big Hype?

By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Keywords: Big Data; Analytics and Data Science; Management Practices and Processes
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Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
  • 19 Dec 2023
  • Research & Ideas

$15 Billion in Five Years: What Data Tells Us About MacKenzie Scott’s Philanthropy

finished giving, but with more than $15 billion granted to nearly 2,000 organizations, some meaningful patterns have begun to emerge. We parsed all the Yield Giving donation information available to date and matched it with Internal Revenue Service View Details
Keywords: by Matthew Lee, Brian Trelstad, and Ethan Tran
  • 13 Oct 2006
  • Working Paper Summaries

Coerced Confessions: Self-Policing in the Shadow of the Regulator

Keywords: by Jodi L. Short & Michael W. Toffel
  • 2020
  • Article

Public Sentiment and the Price of Corporate Sustainability

By: George Serafeim
Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong... View Details
Keywords: Sustainability; ESG; ESG (Environmental, Social, Governance) Performance; Investment Management; Investment Strategy; Big Data; Machine Learning; Environment; Environmental Sustainability; Corporate Governance; Performance; Asset Pricing; Investment; Management; Strategy; Human Capital; Public Opinion; Value; Analytics and Data Science
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Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
  • October 2015 (Revised October 2016)
  • Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details
Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States
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Shih, Willy C. "Building Watson: Not So Elementary, My Dear! (Abridged)." Harvard Business School Case 616-025, October 2015. (Revised October 2016.)
  • March 2019 (Revised July 2020)
  • Case

MoviePass: The 'Get Big Fast' Strategy

By: Benjamin C. Esty and Daniel W. Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams from related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Entrepreneurship; Market Entry and Exit; Growth and Development Strategy; Business Strategy; Value Creation; Disruption; Motion Pictures and Video Industry; United States
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Esty, Benjamin C., and Daniel W. Fisher. "MoviePass: The 'Get Big Fast' Strategy." Harvard Business School Case 719-455, March 2019. (Revised July 2020.)
  • June 2016 (Revised May 2017)
  • Case

A Note on Activist Investors and the Tech Sector

By: David B. Yoffie and Eric Baldwin
This short note provides background and data on the growing role of corporate activists, especially in high-technology industries. View Details
Keywords: Governance; Activist Investors; Strategy; Investment Activism; Financial Services Industry; Technology Industry
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Yoffie, David B., and Eric Baldwin. "A Note on Activist Investors and the Tech Sector." Harvard Business School Case 716-462, June 2016. (Revised May 2017.)
  • January 2020 (Revised July 2020)
  • Supplement

MoviePass: The 'Get Big Fast' Strategy

By: Benjamin C. Esty and Daniel Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses... View Details
Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Business Strategy; Value Creation; Consolidation; Cash Flow; Growth Management; Business Startups; Entrepreneurship; Disruptive Innovation; Mobile Technology; Motion Pictures and Video Industry; Entertainment and Recreation Industry; Advertising Industry; Information Industry; United States
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Esty, Benjamin C., and Daniel Fisher. "MoviePass: The 'Get Big Fast' Strategy." Harvard Business School Spreadsheet Supplement 720-854, January 2020. (Revised July 2020.)
  • October 2018 (Revised July 2023)
  • Case

Innovation at Uber: The Launch of Express POOL

By: Chiara Farronato, Alan MacCormack and Sarah Mehta
Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This product offers a reduced price to riders willing to carpool, walk a short distance to/from their pick-up and drop-off points, and wait a... View Details
Keywords: Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Information Technology; Mobile and Wireless Technology; Applications and Software; Digital Platforms; Decision Making; Technology Industry; California; San Francisco
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Farronato, Chiara, Alan MacCormack, and Sarah Mehta. "Innovation at Uber: The Launch of Express POOL." Harvard Business School Case 619-003, October 2018. (Revised July 2023.)
  • December 2017
  • Response

Reply: Do Powerful Politicians Really Cause Corporate Downsizing?

By: Lauren Cohen, Joshua D. Coval and Christopher J. Malloy
While we commend the initiative of Snyder and Welch (2017), we lay out in this short reply why we remain highly confident in our results and our interpretation thereof. We welcome authors to continue to explore the data for themselves and look forward to the new... View Details
Keywords: Spending; Private Sector; Taxation; Interest Rates; Business and Government Relations; Investment; Employment; Power and Influence
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Cohen, Lauren, Joshua D. Coval, and Christopher J. Malloy. "Reply: Do Powerful Politicians Really Cause Corporate Downsizing?" Journal of Political Economy 125, no. 6 (December 2017): 2232–2237.
  • February 2010
  • Article

The Optimal Taxation of Height: A Case Study of Utilitarian Income Redistribution

By: N. Gregory Mankiw and Matthew C. Weinzierl
Should the income tax include a credit for short taxpayers and a surcharge for tall ones? The standard Utilitarian framework for tax analysis answers this question in the affirmative. Moreover, a plausible parameterization using data on height and wages implies a... View Details
Keywords: Taxation; Wages; Personal Characteristics
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Mankiw, N. Gregory, and Matthew C. Weinzierl. "The Optimal Taxation of Height: A Case Study of Utilitarian Income Redistribution." American Economic Journal: Economic Policy 2, no. 1 (February 2010): 155–176.
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