Too Big to Ignore: The Business Case for Big Data

Phil Simon

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Big Data Technologies and Applications Big Data and Business Intelligence Digital Innovation in Industries

Abstract

Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gami

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2016Big data in the public sector: Uncertainties and readiness 2018Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making?2016The extreme risk of personal data breaches and the erosion of privacy 2016Risk governance: conceptualization, tasks, and research agenda 2018The Big Data Agenda: Data Ethics and Critical Data Studies 2023Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research 2017Big Data in Organizations and the Role of Human Resource Management 2020The Force Awakens: Artificial Intelligence for Consumer Law

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