TY - CHAP
T1 - Big data: An introduction to data-driven decision making
AU - Okwechime, Ekene Nwike
AU - Duncan, Peter
AU - Edgar, David
AU - Magnaghi, Elisabetta
AU - Veglianti, Eleonora
N1 - AAM: permitted by publisher. Requested file ET 24/11/21
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - big data
KW - open data
KW - data-driven decision making
UR - https://www.springer.com/gp/book/9783030606060
U2 - 10.1007/978-3-030-60607-7_3
DO - 10.1007/978-3-030-60607-7_3
M3 - Chapter (peer-reviewed)
SN - 9783030606060
T3 - Lecture Notes in Information Systems and Organisation
SP - 35
EP - 46
BT - Organizing Smart Buildings and Cities: Promoting Innovation and Participation
A2 - Magnaghi, Elisabetta
A2 - Flambard, Véronique
A2 - Mancini, Daniela
A2 - Jacques, Julie
A2 - Gouvy, Nicolas
PB - Springer International
CY - Switzerland
ER -
