Implementation Challenges of Data Quality Management <br/>—Cases from UAE Public Sector

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 ev en 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.