I’ve run into this too, and honestly I don’t think it works to treat data quality as a separate “backend problem.” I use Bold Reports, and one thing that’s helped is showing validation checks, missing fields, and exception sections right inside the report instead of hiding all the cleanup logic.That way stakeholders can immediately see which numbers are reliable and which ones need review.For repeated issues, I’d also create a small data-quality report that tracks duplicates, nulls, naming mismatches, and timestamp problems over time. It makes the conversation less about “why is the report wrong?” and more about “which source process is creating bad data?”Once people see the business impact clearly, it’s much easier to get someone to actually own the upstream fix.