Start with a reporting contract
For a fictional order report, define one row as an order line, retain a stable source key and specify how cancellations are represented. State whether the report should show operational events immediately or a reconciled daily snapshot. These choices determine how you interpret a data delay. A refresh that completed successfully can still have loaded incomplete or wrongly duplicated source data.
Choose the store and model separately
A Fabric data store and a Power BI semantic model solve different parts of the problem. Decide how data will be prepared and maintained before selecting a model storage mode. A Lakehouse-oriented workflow may suit a team that maintains notebook transformations; a Warehouse-oriented workflow may suit SQL-focused maintenance. Check current product documentation for supported connections and restrictions. The mere presence of a Fabric workspace does not prove that a report is using Direct Lake.
Reconcile at the handoff
Suppose the approved source batch contains 1,000 order lines and revenue of 82,500 fictional units. Store those control totals with the batch identifier. Compare them with the prepared table and with an unfiltered semantic-model measure. If the prepared table is correct but the measure is too large, investigate model relationships and calculation grain. If the table is already wrong, changing a DAX expression can conceal the ingestion defect instead of correcting it.
source batch -> prepared table -> semantic model -> report
control row count: 1,000 expected revenue: 82,500
record at each handoff: batch ID, completed time, owner, validation resultTest access independently of visuals
Use an authorized viewer account to verify the intended report and underlying data access. Test an account that should see no data as well as one that should see a particular region. A hidden page, report slicer or removed navigation link is not an access-control boundary. Document how a user loses access when their role changes, and avoid copying production personal data into a public demonstration.
Expose freshness honestly
Show the last successful data load and the relevant business period. Distinguish source arrival time from semantic-model refresh time: a recently refreshed model can still be based on yesterday's file. Simulate a failed load and verify the report does not label its data current. Keep a short recovery note covering the failed batch, validation steps and the person responsible for authorizing a replay.
