Many reporting problems start before the report layer. By the time Power BI authors are asked to make the output stable, the upstream contract is often still unclear.
That usually shows up as:
- inconsistent field meaning
- unstable table grain
- missing ownership on business definitions
- transformations split awkwardly across layers
What a better handoff looks like
A useful analytics-engineering handoff does not need to be heavy. It should make these things explicit:
- what the dataset is meant to support
- the expected grain of each major table
- which definitions are business-approved
- what should stay upstream versus in the semantic model
If those basics are unclear, the reporting layer ends up carrying avoidable interpretation work.
The practical benefit
When handoffs improve, BI delivery usually gets better in three ways:
- semantic models are easier to keep coherent
- report QA becomes faster because the intended output is clearer
- change reviews focus on real decisions instead of reconstructing context
That is why analytics engineering and reporting quality should be treated as connected disciplines, not separate tracks.
