Big Data: An Introduction to Data-Driven Decision Making

Ekene Okwechime (), Peter B. Duncan, David A. Edgar, Elisabetta Magnaghi () and Eleonora Veglianti ()
Additional contact information
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

A chapter in Organizing Smart Buildings and Cities, 2021, pp 35-46 from Springer

Abstract: 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.

Keywords: Big data; Open data; Data-driven decision-making (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-60607-7_3

Ordering information: This item can be ordered from
http://www.springer.com/9783030606077

DOI: 10.1007/978-3-030-60607-7_3

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().