Data Governance
Applying row-level access to sensitive business data
Define and check row-level BI access using business entitlements, representative users and the right platform roles.
Section
Data Governance
Data Governance
Assigning owners to recurring data quality problems
A data quality alert can identify a fault and still achieve little if no one owns the next step.
Data Governance
BI access and data governance
Set owners, access boundaries and review triggers for BI datasets, metrics and exports, with Australian privacy considerations.
Data Governance
Checking totals between a source and its BI model
When a report total differs from its source, comparing two numbers is only the beginning.
Data Governance
Data quality checks
Data quality checks turn a vague concern about “bad data” into a small set of assertions that a reporting team can run and act on.
Data Governance
Defining which users can build their own reports
Set practical criteria for report creators, distinguish Build from edit and publishing rights, and review access as roles change.
Data Governance
Detecting duplicate business records before aggregation
Duplicate records can inflate a sum without looking obviously wrong in a chart.
Data Governance
Monitoring unexpected null values in critical fields
A null value means a field has no recorded value; it does not always mean a process failed.
Data Governance
Reviewing who can export detailed datasets
Review detailed BI exports by purpose, permission route and effective access, then verify revoked or expired grants.
Data Governance
Separating personal data from management reporting
Design management reports around useful measures while keeping identifying records in a separately controlled data path.