Data Engineering, Data Quality, Data Governance, Data, Analytics.
this as you may not want to hold all assets accountable to the same standards. Keeping in mind what data is business-critical, what’s being exposed (e.g., in a dashboard), and what assets should have an SLA (e.g., if data doesn’t arrive on time, there are downstream ramifications) helps you assess