Floating-point (double) column
"Floating-point (double) column" is one of the reliability checks Auditabi runs on a Power BI semantic model. n column(s) use the double data type. It is a low-severity finding: hygiene and maintainability, worth fixing when you next touch the object. Use Fixed decimal number (currency / decimal) for amounts and int64 for counts.
What is detected
n column(s) use the double data type. Floating point accumulates rounding errors in sums and compares unreliably (0.1 + 0.2 ≠ 0.3).
Why it matters
Hygiene and maintainability. Fix when touching the object.
How to fix it
Use Fixed decimal number (currency / decimal) for amounts and int64 for counts.
Reference
Tabular Editor BPA: Avoid floating point data types
Does your model fail this check?
Free static audit with the exact objects, no account, nothing stored.