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Big Data: An Introduction to Data-Driven Decision Making

In: Organizing Smart Buildings and Cities

Author

Listed:
  • Ekene Okwechime

    (University of Central Lancashire)

  • Peter B. Duncan

    (Glasgow Caledonian University)

  • David A. Edgar

    (Glasgow Caledonian University)

  • Elisabetta Magnaghi

    (Université Catholique de Lille)

  • Eleonora Veglianti

    (University of Uninettuno)

Abstract

The purpose of this article is to set the groundwork of data-driven decision making. Currently, there are widespread discussions on how society is shaped and changing due to the increased use of data for decision making in the private and public sector. Central to this form of decision making is big data and open data. We present a critical review of big data: it’s characteristics and sources. We also provide a critical review of open data by delineating its difference to big data, i.e. the types and sources of open data. We argue that if the conditions are right, big data can be open data—and vice versa. Most importantly, we present where and how big data can be used applied in various areas of society, e.g. in smart cities. By carrying out this review, we outline the composition of data and where and how it can be applied in society at large. Ultimately, given the accessibility of data, we critically review a fast-moving ecosystem where end-users and decision makers can be guided by data.

Suggested Citation

  • Ekene Okwechime & Peter B. Duncan & David A. Edgar & Elisabetta Magnaghi & Eleonora Veglianti, 2021. "Big Data: An Introduction to Data-Driven Decision Making," Lecture Notes in Information Systems and Organization, in: Elisabetta Magnaghi & Véronique Flambard & Daniela Mancini & Julie Jacques & Nicolas Gouvy (ed.), Organizing Smart Buildings and Cities, pages 35-46, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-60607-7_3
    DOI: 10.1007/978-3-030-60607-7_3
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