TITLE:
Implementation Challenges of Data Quality Management —Cases from UAE Public Sector
AUTHORS:
Mounir El Khatib, Aya Yaish, Hessa Al Ali
KEYWORDS:
Data Quality, Data Management, Data Implementation, Data Challenges, UAE Public Sector
JOURNAL NAME:
iBusiness,
Vol.13 No.3,
August
18,
2021
ABSTRACT: Data quality is a significant concern in today’s world.
The majority of organizations are being challenged by the data quality issues
both in the structural and systematic
context. Bad data quality is still being experienced even though
expensive tools have been innovated and incorporated into the data quality
control practices. Common measures of data quality metrics are accuracy,
completeness, proper dissemination, integrity, validity, uniqueness, and
consistency. For this reason, intense analysis and evaluation of the most
applicable ways in managing data quality can serve as a roadmap that can be
utilized by the company’s executive team, practitioners and even learners in
formulating efficient planning as well as implementing feasible data and
information quality control and management programs. This paper is based on
intensive research and the use of practical examples and will seek the
evaluation of the challenges faced in data quality management. The paper will
also provide an analysis of data quality management from the local and global
context by giving critical inspection trends to improve the data quality, the
tools, techniques, and the policies that are necessary for achieving the data
quality management goal. By using the Civil Project Division (CPD) in Abu Dhabi
National oil company (ADNOC) and Dubai Health Insurance Corporation in Dubai
Health Authority (DHA) as the real-world examples, the paper will give a
critical viewpoint of the challenges, trends, policies, and techniques that
apply to data quality management.