Big data: An introduction to data-driven decision making

Ekene Nwike Okwechime*, Peter Duncan, David Edgar, Elisabetta Magnaghi, Eleonora Veglianti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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: its characteristics and sources. We present 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 and 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.
Original languageEnglish
Title of host publicationOrganizing Smart Buildings and Cities: Promoting Innovation and Participation
EditorsElisabetta Magnaghi, Véronique Flambard, Daniela Mancini, Julie Jacques, Nicolas Gouvy
Place of PublicationSwitzerland
Chapter3
Pages35-46
Number of pages12
Edition1
ISBN (Electronic)9783030606077
Publication statusPublished - 2021

Publication series

NameLecture Notes in Information Systems and Organisation
PublisherSpringer International
Volume36
ISSN (Print)2195-4968

Keywords

  • big data
  • open data
  • data-driven decision making

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