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  • All HBS Web  (1,186)
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    • News  (428)
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    • Events  (6)
    • Multimedia  (7)
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← Page 7 of 1,186 Results →
  • 29 Feb 2016
  • HBS Case

Bigbelly's Big Bet on the Digital Trash Can

cities” field. “I wanted to explore the opportunities and challenges of selling to government in a company that is moving from selling hardware in big chunks to selling software as a service,” says Weiss, the MBA Class of 1961 Senior... View Details
Keywords: by Michael Blanding; Energy
  • March 2024 (Revised January 2025)
  • Case

Hippo: Weathering the Storm of the Home Insurance Crisis

By: Lauren Cohen, Grace Headinger and Sophia Pan
Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically... View Details
Keywords: Fintech; Underwriters; Big Data; Insurance Companies; Business Model Design; Weather Insurance; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Insurance Industry; United States; California
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Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis." Harvard Business School Case 224-080, March 2024. (Revised January 2025.)
  • 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.)
  • 02 Apr 2015
  • Research & Ideas

Digital Initiative Summit: Freeing Patient Data to Enable Innovation

listed difficulties translating data into practice, something he has experienced and is trying to address in his transition from practitioner to health care entrepreneur. "About 85 percent of practice today is driven by anecdotal... View Details
Keywords: Re: Karim R. Lakhani; Health
  • 30 Jun 2016
  • News

Unicorn Instacart Hopes Its Data Scientists Can Calculate a Path to Profits

  • 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.
  • 12 Feb 2015
  • News

How Yelp Can Help

Keywords: Yelp; social media; government policy; big data; public accountability; Government
  • 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.
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

wasn't as big of a deal, because you could just retrain the model from scratch. Just throw out that data and do it again. That's really not plausible when training a model takes months and costs many... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • July 2024
  • Case

Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones

By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan
Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices... View Details
Keywords: Fintech; Innovation And Strategy; Financial Advisors; Big Data; Artificial Intelligence; Digitization; Financial Institutions; Business Strategy; Competitive Advantage; Technology Adoption; Business Plan; Technological Innovation; Interpersonal Communication; Communication Intention and Meaning; Communication Strategy; Transformation; Employee Stock Ownership Plan; Disruptive Innovation; Innovation Strategy; Innovation and Management; Innovation Leadership; Knowledge Acquisition; Knowledge Use and Leverage; Customer Relationship Management; AI and Machine Learning; Digital Strategy; Financial Services Industry; St. Louis; Missouri; United States; Canada
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Cohen, Lauren, Richard Ryffel, Grace Headinger, and Sophia Pan. "Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones." Harvard Business School Case 225-009, July 2024.
  • 22 Oct 2019
  • News

When It’s OK to Trust Your Gut on a Big Decision

  • 25 Apr 2012
  • What Do You Think?

How Will the “Age of Big Data” Affect Management?

Summing Up: Will Access To Big Data Further Enable Fact-based Decision Making Or Analysis Paralysis? "To T. S. Eliot's prescient words 'Where is the wisdom we have lost in knowledge? Where is the knowledge... View Details
Keywords: Re: James L. Heskett
  • 22 Mar 2021
  • Research & Ideas

How to Learn from the Big Mistake You Almost Make

first survey, the data showed that the closer the situation got to causing patient harm, the more important psychological safety became in determining whether the employees would report the near-miss event. “With near misses that we... View Details
Keywords: by Kristen Senz; Health
  • May 2021
  • Article

The Firm Next Door: Using Satellite Images to Study Local Information Advantage

By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong
We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level... View Details
Keywords: Satellite Images; Store-level Performance; Institutional Investors; Local Advantage; Overweighting; Processing Costs; Alternative Data; Big Data; Emerging Technologies; Information; Quality; Institutional Investing; Decision Making; Behavioral Finance; Analytics and Data Science
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Kang, Jung Koo, Lorien Stice-Lawrence, and Forester Wong. "The Firm Next Door: Using Satellite Images to Study Local Information Advantage." Journal of Accounting Research 59, no. 2 (May 2021): 713–750.
  • Web

BiGS Fellows | Institute for Business in Global Society

charging speeds, and consumer reviews—he uses big data and machine learning to reveal strategies for sustainable growth. Gunther Glenk Assistant Professor of Business at the University of Mannheim Corporate... View Details
  • 01 Aug 2018
  • News

Study: Immigrants Form 25% of New U.S. Businesses, With Big Regional Variations

  • 02 Apr 2015
  • Research & Ideas

Digital Initiative Summit: Big Messages, Small Screens, Many Choices

Again, hardly anyone raised a hand. "And that's the problem," Balis said. Other Articles In This Series Big Messages, Small Screens, Many Choices Companies Must Forget—and Borrow The Business of Crowdsourcing Freeing Patient View Details
Keywords: by Carmen Nobel; Advertising
  • 17 Apr 2012
  • News

From founder to CEO: How companies' big thinkers transition to the boardroom

  • 04 Jan 2022
  • Research & Ideas

Scrap the Big New Year's Resolutions. Make 6 Simple Changes Instead.

ability to collect and analyze more data more quickly, decision-making and problem-solving have become increasingly complex. Many people look to technology to solve modern problems, but the more technology advances, the more human... View Details
Keywords: by Kristen Senz
  • November–December 2022
  • Article

The Value of Descriptive Analytics: Evidence from Online Retailers

By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details
Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Difference-in-differences; Martech; Internet and the Web; Analytics and Data Science; Performance; Marketing; Retail Industry
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Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
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