Data Governance and Digital Transformation in Saudi Arabia

Abstract

Data governance and management solutions are experiencing a continuous data complexity, which make the process very expensive. The sophisticated data usage in many businesses has been a driving factor for new demands in the data handling, which has led to business requiring different ways of managing their data. Many businesses have resolved to the implementation of effective data governance as the most possible way to solve the data issue. Initially, many businesses attempted governing data but the process was not successful due to IT drive and the rigid processes that affected the activities that were carried out on system by system basis. The process has also suffered inadequate support from the organizations and structures for implementation. Data governance has highly recognized significances, but still no advanced research and development directed toward the achievement of the process. Due to the minimum research, this provides a room to advance research in the field in order to widen practice. In this paper, a mini literature review has been conducted to provide a structured and methodical approach for understanding aspects of research in data governance. The main objective is to provide an intellectual foundation for emerging scholars in the field of data governance—principles, models, challenges of data governance and digital transformation, and key dimensions of data governance strategy in Saudi Arabia. The study will incorporate IBM and agility data governance tools and model in integrating the useful information and for establishing and implementing the high level policies and procedures in the study. The mini literature review covered the importance of data governance, data governance principles, data governance models, the challenges facing data governance and digital transformation and the key dimensions in data governance strategy.