A low data quality can cause many problems within an organization. If data is inaccurate, outdated or inconsistent, it can lead to incorrect decisions, inefficient processes, and dissatisfied customers. It can also result in higher costs and loss of competitive advantage. Poor quality can create problems in achieving business objectives and implementing strategies. Additionally, it is important to comply with legal requirements and regulations regarding data protection and privacy. Therefore, it is essential for organizations to implement the right processes, policies, and tools to ensure that their data is of high quality and can be relied upon for decision-making and business activities. For this reason, we have written the attached article on this topic.