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Beyond Big Data

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  • Hal R Varian

Abstract

This talk describes the new directions in computers and communication and their implications for the analysis of massive amounts of data, development of customized marketing plans that go hand in glove with sophisticated digital assistants, continuous computerized experiments to distinguish causation from correlation, and the role of monitoring in market research and the conduct of efficient transactions. Taking full advantage of the potential of these new directions will require increasing sophistication in knowing what to do with the massive amounts of data that are now available.

Suggested Citation

  • Hal R Varian, 2014. "Beyond Big Data," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 49(1), pages 27-31, January.
    • Handle: RePEc:pal:buseco:v:49:y:2014:i:1:p:27-31
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    Citations

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    Cited by:

    1. Christian Trudeau & Zheng Wang, 2015. "Help us to help you: how consumer data can alter quality races," Working Papers 1501, University of Windsor, Department of Economics.
    2. Mucha, Tomasz & Seppälä, Timo, 2020. "Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy," ETLA Working Papers 76, The Research Institute of the Finnish Economy.
    3. Chaohong Na & Xue Chen & Xiaojun Li & Yuting Li & Xiaolan Wang, 2022. "Digital Transformation of Value Chains and CSR Performance," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    4. Ehlers, Melf-Hinrich & Huber, Robert & Finger, Robert, 2021. "Agricultural policy in the era of digitalisation," Food Policy, Elsevier, vol. 100(C).
    5. Yann Braouezec, 2015. "Public versus Private Insurance System with (and without) Transaction Costs: Optimal Segmentation Policy of an Informed monopolistPublic versus Private Insurance System with (and without) Transaction ," Working Papers 2013-ECO-23, IESEG School of Management, revised May 2014.
    6. Haftor, Darek M. & Costa Climent, Ricardo & Lundström, Jenny Eriksson, 2021. "How machine learning activates data network effects in business models: Theory advancement through an industrial case of promoting ecological sustainability," Journal of Business Research, Elsevier, vol. 131(C), pages 196-205.
    7. Bessen, James & Impink, Stephen Michael & Reichensperger, Lydia & Seamans, Robert, 2022. "The role of data for AI startup growth," Research Policy, Elsevier, vol. 51(5).
    8. Dirk Nicolas Wagner, 2020. "Economic patterns in a world with artificial intelligence," Evolutionary and Institutional Economics Review, Springer, vol. 17(1), pages 111-131, January.
    9. Michela Chessa & Patrick Loiseau, 2017. "Enhancing Voluntary Contribution in a Public Goods Economy via a Minimum Individual Contribution Level," GREDEG Working Papers 2017-24, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Feb 2023.
    10. Angelo Moro & Matteo Rinaldini & Jacopo Staccioli & Maria Enrica Virgillito, 2019. "Control in the era of surveillance capitalism: an empirical investigation of Italian Industry 4.0 factories," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 347-360, September.
    11. Onorante, Luca & Raftery, Adrian E., 2016. "Dynamic model averaging in large model spaces using dynamic Occam׳s window," European Economic Review, Elsevier, vol. 81(C), pages 2-14.
    12. Andreas Georg Scherer & Andreas Rasche & Guido Palazzo & André Spicer, 2016. "Managing for Political Corporate Social Responsibility: New Challenges and Directions for PCSR 2.0," Journal of Management Studies, Wiley Blackwell, vol. 53(3), pages 273-298, May.
    13. Karen Yeung, 2018. "Algorithmic regulation: A critical interrogation," Regulation & Governance, John Wiley & Sons, vol. 12(4), pages 505-523, December.
    14. Steffen, Nico & Wiewiorra, Lukas & Kroon, Peter, 2021. "Wettbewerb und Regulierung in der Plattform- und Datenökonomie," WIK Discussion Papers 481, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
    15. Oliver Falck & Johannes Koenen, 2020. "Resource “Data”: Economic Benefits of Data Provision," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 31-41, September.

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