Power BI
How to plan a Power BI dashboard project
Define the decisions, measures, source systems, and acceptance checks before choosing the visuals.
Read guideInsights
Power BI, databases & data operations
Practical guides for teams planning reliable reporting, connected systems, and a maintainable data foundation.
Power BI
Power BI star schema: grain, relationships, and reliable measures
A reliable model starts with a precise statement of what one row represents.
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Power BI
Power BI data refresh: planning freshness and troubleshooting failures
A green refresh status is useful, but it does not prove that the underlying business data is current.
Read guideDatabases
SQL database vs. data warehouse: what does your organization need?
Choose the workload and ownership model first. The product label comes later.
Read guideDatabases
Database migration checklist: validation, cutover, and rollback
A copied row count is one check. It is not a migration acceptance decision.
Read guideDatabases
How to investigate a slow SQL query before adding indexes
Measure where the time goes, inspect the plan, and change one thing at a time.
Read guideData operations
Data quality checks that make reporting more trustworthy
Connect each quality rule to a business consequence, an owner, and an exception path.
Read guideData operations
CRM data integration: building a reliable reporting pipeline
A working connector is the beginning. Identity, changes, exceptions, and ownership make it dependable.
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Published by AVIZ DATA LLC. AI-assisted guides checked against the linked platform documentation. Examples are illustrative, not client results. Validate environment-specific changes before production use.
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