What is Domain-Oriented Ownership?
Domain-Oriented Ownership: Approach assigning specific business domains to teams, enhancing accountability and expertise.
Domain-Oriented Ownership: Approach assigning specific business domains to teams, enhancing accountability and expertise.
Domain-oriented ownership is a data management strategy that transfers the ownership of data from a centralized IT or data team to domain teams. This approach empowers domain experts with more control over data, potentially leading to improved data quality, expedited decision-making, and enhanced innovation. It involves shifting ownership, including people and processes, and producing data products based on expert knowledge and business experience.
Domain teams in a domain-oriented ownership model are responsible for data production, ingestion, transformation, quality assurance, and serving data to end users. This model promotes a culture of accountability and collaboration, potentially leading to improved governance and utilization of data assets.
Domain-oriented ownership data governance, also known as domain-driven decentralization, is a decentralized model that assigns ownership of data to the domain teams within an organization. This model is a fundamental aspect of a data mesh. In this model, each domain team is responsible for its data's governance, quality, and compliance, which means that domain teams have the autonomy to make decisions about their data needs, such as defining schemas, access controls, and quality standards.
Key components of a data mesh include data domains, business domains, and a central governance team. Data domains are curated collections of data that are directly relevant to a specific business function or process. Business domains are clearly defined units within an organization that hold responsibility for a specific set of activities. The central governance team is responsible for curating and providing the interoperability "guardrails" within which domains can operate.
Domain-oriented ownership offers several benefits, including better control and ownership of data, faster innovation and time-to-market, improved data quality and governance, better collaboration and communication, improved flexibility and adaptability, and better alignment with business goals.
Domain-oriented data pipelines can simplify the delivery of scalable data products, allowing domains to independently build, test, and deploy reusable components. Some benefits of domain-oriented data pipelines include their scalability and the elimination of single points of failure.
Secoda is a data management platform that amalgamates multiple tools into a single platform to streamline data processes. It is designed to aid employees in finding and understanding information swiftly. Secoda's mission is to empower everyone to use data. Its features include data search, catalog, lineage, monitoring, and governance, connection of data quality, observability, and discovery, automated workflows, a data requests portal, an automated lineage model, and role-based permissions.
Secoda tracks relationships between people and data to help visualize interactions between collaborators. It can identify who owns data, who is affected by changes, and what tables are most commonly used together.