)  Separate logics into unique metrics and nonunique metrics  Build and Monitor data pipelines (ideally in real-time) with automation and alerting in mind in the event of error conditions and inconsistencies  Ensure the organization’s data lineage, data quality and data governance as a whole is consistent and reliable  Create independent and discrete processes within data models that don’t rely on others