Identify problems related to Data Management?

Common problems related to data management include data silos, where information is isolated within specific departments, leading to inconsistencies and inefficiencies. Poor data quality, including inaccuracies and outdated information, can hinder decision-making and undermine trust in data-driven insights. Additionally, inadequate data governance and compliance can result in security vulnerabilities and legal issues, particularly with regulations like GDPR. Lastly, insufficient integration of data across systems can limit organizations' ability to leverage their data effectively for analytics and business intelligence.