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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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  • 01 Jun 1997
  • News

Short Takes

statistical data from five hundred business groups in India and spoke to dozens of managers in Malaysia, Indonesia, and Chile. The pair found that companies outside the United States perform better when they replicate the quality... View Details
Keywords: Judith A. Ross
  • 01 Dec 1998
  • News

Short Takes

corporate performance. Using archival sources, Kang examined data from all publicly held firms in the U.S. textile industry from 1983 to 1992. "I was able to look at an industry with different kinds of owners over a long period of time,"... View Details
Keywords: Judith A. Ross
  • 01 Jun 1999
  • News

Short Takes

companies, turnaround companies, and low-performing companies. But in order to focus on how compensation decisions are made, he garnered most of his data from interviews with the compensation committee chairs from fifty of the sample's... View Details
Keywords: Judith A. Ross
  • 01 Feb 1998
  • News

Short Takes

was to provide empirical data answering these questions." In the course of his research, Austin surveyed nearly ten thousand of the School's MBA and Executive Education graduates, held eleven focus groups with managers, interviewed more... View Details
Keywords: Judith A. Ross
  • 01 Dec 1997
  • News

Short Takes

white-collar employment is structured," he says. Gathering data from four temporary staffing agencies that focus on managerial and professional talent, Bradach interviewed 26 skilled temporary workers serving as independent contractors... View Details
Keywords: Judith Ross
  • 01 Jun 1998
  • News

Short Takes

explores these differences in a working paper titled "Limits to Globalization: Organizational Homogeneity and Diversity in the Semiconductor Industry." Extensive interviews with managers at nine major firms (four American and five Japanese) and an analysis of... View Details
Keywords: Orna Feldman and Caroline Chauncey
  • 01 Apr 1999
  • News

Short Takes

Management from 1960 to 2000," Nolan highlights the critical shifts in the four eras in the evolution of IT. The Industrial Era, he writes, created an automation mindset, while the Data Processing Era led to organizational... View Details
Keywords: Eileen K. McCluskey
  • 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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  • Fast Answer

Short interest selling

Where can I find aggregate data for short interest selling on the NYSE? Search Bloomberg Academic: Type: NI SHI and hit Enter Use View Details
  • 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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  • 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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  • 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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  • Fast Answer

Bloomberg: short interest by company

How can I find short interest by company in Bloomberg? Type company ticker, hit EQUITY key, type SI and then hit GO for basic short interest data; e.g., GOOG US [EQUITY] SI [GO] For graphical View Details
  • 17 Jan 2019
  • Blog Post

MBA Curriculum Spotlight: Short Intensive Programs (SIPs)

will be a combination of case discussions, guests, panels, and workshops.  Fintech: Disruptions in Credit, Payments and Real Estate  The advent of new technologies and big data promise to revolutionize the finance world by disintermediate... View Details
  • 18 Feb 2022
  • Blog Post

Short Intensive Program (SIP): Climate Adaptation

Short Intensive Program (SIP) Recap: Climate Adaptation From January 18th through January 21st, approximately 40 students gathered in Aldrich Hall for a SIP on Climate Adaptation. This course was led by HBS Professor John Macomber with... View Details
  • 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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  • 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
Related

    How the Best Chief Data Officers Create Value

    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... View Details
    • 01 Jun 2023
    • News

    Bridging the ESG Data Gap

    demanding better-quality ESG data to evaluate ongoing investment management. During Startup Bootcamp, a short intensive program for first-year MBA students, Murday and a team of classmates explored the idea... View Details
    Keywords: Deborah Blagg