Effective data management in organizations is crucial for deriving insights, maintaining consistency, and ensuring alignment across teams, with data products playing a central role in this effort. Data products, which are curated datasets or data services designed to meet specific business needs, help in maintaining data quality, governance, and usability, and are categorized into foundational, integrated, and analytical types, each corresponding to stages in a medallion architecture. Fivetran supports the creation and governance of data products by automating data ingestion, supporting transformations, and enforcing governance across the data pipeline, which helps organizations build scalable and governed data architectures. Data products follow a lifecycle that involves design, development, deployment, monitoring, iteration, and eventual sunsetting, with each stage requiring careful governance and oversight to ensure they remain aligned with business goals. Fivetran's tools, including metadata management, role-based access control, and monitoring, provide insights into data flows and product performance, helping organizations maintain high-quality data products and prevent data product sprawl. Data contracts further enhance data operations by setting clear expectations around data quality and consistency between data producers and consumers, fostering collaboration and reducing friction. Through Fivetran's comprehensive capabilities, organizations can effectively govern data products, ensuring they remain compliant and aligned with organizational standards, thereby supporting business objectives and insights.