What ensures the quality, privacy, and security of data within an organization?

Data governance is the framework that ensures the quality, privacy, and security of data within an organization. It encompasses a set of processes, policies, standards, and responsibilities that dictate how data is managed, maintained, and utilized. By establishing accountability and clarity regarding data handling, data governance promotes consistent data quality and adherence to privacy and security regulations. This includes defining data ownership, data stewardship, and compliance with external and internal standards, which are critical for protecting sensitive information and maintaining trust.

The other options, while related to data in various contexts, do not provide a comprehensive structure specifically focused on ensuring quality, privacy, and security. For instance, prompt engineering pertains to designing effective prompts in interactions with AI models rather than data management. Machine learning is a subset of artificial intelligence that provides models for data analysis but does not govern the data itself. Lastly, digital transformation involves integrating digital technology into all areas of a business, fundamentally changing operations and value delivery, but it does not inherently guarantee data quality, privacy, or security without the necessary governance frameworks in place.