Data Governance

Improving Data Quality in Microsoft Purview Using Synthetic Healthcare Data (Synthea)

Data governance, Azure, Data quality

Data quality is a critical foundation for modern analytics, artificial intelligence (AI), and enterprise decision-making. Organizations increasingly rely on data-driven insights to guide strategic initiatives, optimize operations, and improve customer experiences. However, these insights are only as reliable as the data they are built upon.

Data Governance in the Age of AI: Best Practices and Strategies

Data, Ai

In today’s AI-driven world, data governance is critical to ensure that organizations manage their data responsibly, ethically, and securely. Proper governance ensures compliance, builds trust, and enhances the quality and reliability of AI systems. As organizations increasingly rely on AI for decision-making, poor data governance can result in biased outcomes, security risks, and regulatory violations.