Data governance is a challenging aspect of big data, ensuring secure and valuable information use. It involves people, processes, technology to protect data, ensure standards, and enhance availability. Effective data governance enhances insights, relying on systematic approaches like data integration, quality, MDM, lifecycle management, and security. Organizational best practices involve defining standards, ensuring data quality, adopting identifiers, categorizing, and updating data. An investment in governance is crucial for leveraging vast data for predictive analytics.