Validation Before Use

LinkedIn Post 04: Validation Before Use

Your synthetic comparable analysis tool is excellent. It produces realistic value estimates. Clients are happy. Market data gaps are filled.

One question: Have you validated it?

"The vendor says it's accurate" is not validation. Validation means: You tested the algorithm on known transactions. You checked for bias. You assessed the training data quality. You documented performance results.

Without validation, you're trusting algorithm output without evidence of reliability. This is increasingly difficult to defend.

Safe synthetic comparable use requires validation discipline. Document what tests the algorithm passed. Keep those records in the file.

Your future auditor will thank you.

#RealEstate #Valuation #AI #Quality #DataIntegrity