Assessing the Impact of Data Governance on Decision Making in Saudi Arabia

Bashayer Alotaibi, Zahyah Alharbi, Tahani Alqurashi

2024

Abstract

There is currently a huge amount of data stored by Saudi Arabian organizations that requires work to make it useful. This has led to the concept of ‘data governance’ as a means of organizing data and managing its use in organizations. This research evaluates how decision making has been influenced by data governance in Saudi Arabia. Twelve interviews were conducted on two aspects of data management, data governance and data analytics, to explore how each approach affects decision making. Both interviewee groups indicated that these approaches had multiple direct and indirect effects on decision making. The interviewees mostly agreed that data governance increased confidence and trust in data and improved its quality. They viewed data governance as being likely to develop a more consistent business terminology and a set of rules and responsibilities for managing data, and that decision making would be made timelier. Despite the potential benefits of data governance for decision making, the lack of awareness about its potential makes it difficult for many Saudi Arabian organizations to benefit from its use. This study provides valuable insights for businesses considering the implementation of data governance practices to optimize their decision-making process.

Paper Citation

in Harvard Style

Alotaibi B., Alharbi Z. and Alqurashi T. (2024). Assessing the Impact of Data Governance on Decision Making in Saudi Arabia. In Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS; ISBN 978-989-758-698-9, SciTePress, pages 114-123. DOI: 10.5220/0012700600003708

in Bibtex Style

@conference{complexis24,
author={Bashayer Alotaibi and Zahyah Alharbi and Tahani Alqurashi},
title={Assessing the Impact of Data Governance on Decision Making in Saudi Arabia},
booktitle={Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS},
year={2024},
pages={114-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012700600003708},
isbn={978-989-758-698-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS
TI - Assessing the Impact of Data Governance on Decision Making in Saudi Arabia
SN - 978-989-758-698-9
AU - Alotaibi B.
AU - Alharbi Z.
AU - Alqurashi T.
PY - 2024
SP - 114
EP - 123
DO - 10.5220/0012700600003708
PB - SciTePress