Data Architecture defines what within a business?

Data Architecture is primarily concerned with the structure and management of data within a business. It encompasses the definition of how data is organized, stored, and accessed, which is crucial for effective decision-making and operational efficiency. This includes establishing frameworks for data storage solutions, data flow, data integration, and ensuring data consistency across various platforms.

By focusing on the definition, storage, and movement of data, Data Architecture enables an organization to optimize its data assets and make them accessible and actionable for stakeholders. It plays a critical role in ensuring that data supports business objectives, aligns with data governance policies, and complies with regulatory requirements. Having a solid Data Architecture can thus lead to improved analytics, better customer insights, and enhanced strategic capabilities.

The other options, while important elements of business operations, do not fall under the scope of Data Architecture. Employee roles, supply chain processes, and financial budgeting are managed through different aspects of business architecture that focus more on organizational structure, operational management, and financial planning rather than the technical and systemic aspects of data management.