During the setup of a Data Governance framework, which two considerations should a data steward keep in mind?

In establishing a Data Governance framework, one significant consideration is labels. Labels help define and categorize data assets clearly, which is crucial for ensuring that all stakeholders understand what the data represents and how it should be used. Proper labeling fosters consistency across the organization, aiding in data discovery, compliance with regulations, and improving overall data quality.

When data is appropriately categorized through labeling, it becomes easier to manage access rights, track data lineage, and facilitate data governance policies. Additionally, labels play a critical role in establishing the context for the data, helping data stewards and users alike to interpret information correctly and apply it effectively according to governance standards.

While the volume of datasets, budget constraints, and customer feedback are important factors in broader data management strategies, they do not directly pertain to the establishment of the governance framework itself. Labels specifically enhance the framework by promoting organization, clarity, and compliance in how data is handled and utilized within the organization.