Businesses face significant data management problems that can hinder efficiency and decision-making. Common challenges include data silos, inconsistent formatting, security vulnerabilities, and compliance risks. Organizations often struggle with data duplication, outdated records, and fragmented storage solutions, leading to inaccurate analytics and operational inefficiencies. Additionally, poor data governance and a lack of structured policies can result in unauthorized access, compliance breaches, and data loss. To overcome these issues, companies must implement robust data management strategies, integrating automated tools, AI-driven analytics, and strict access controls to ensure data accuracy, security, and compliance with regulatory standards.
