Paper Info
Title
Exploring Big Data Governance Frameworks.
Abstract
The recent explosion in ICT and digital data has led organizations, both private and public, to efficient decision-making. Nowadays organizations can store huge amounts of data, which can be accessible at any time. Big Data governance refers to the management of huge volumes of an organization’s data, exploiting it in the organization’s decision-making using different analytical tools. Big Data emergence provides great convenience, but it also brings challenges. Nevertheless, for Big Data governance, data has to be prepared in a timely manner, keeping in view the consistency and reliability of the data, and being able to trust its source and the meaningfulness of the result. Hence, a framework for Big Data governance would have many advantages. There are Big Data governance frameworks, which guide the management of Big Data. However, there are also limitations associated with these frameworks. Therefore, this study aims to explore the existing Big Data governance frameworks and their shortcomings, and propose a new framework. The proposed framework consists of eight components. As a framework validation, the proposed framework has been compared with the ISO 8000 data governance framework.
Year
DOI
Venue
2018
10.1016/j.procs.2018.10.181
Procedia Computer Science
Keywords
Field
DocType
Big Data,Big Data model,Big Data governance,Data management,Big Data governance framework,Big Data analytic
Data science,Corporate governance,Computer science,Data governance,Information and Communications Technology,Artificial intelligence,Big data,Digital data,Data management,Machine learning
Conference
Volume
ISSN
Citations 
141
1877-0509
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Ali H. Al-Badi1156.55
Ali Tarhini212513.40
Asharul Islam Khan341.41