Big Data, Bigger Mistakes: Data analytics can supercharge property valuation, but only if you avoid these common appraisal traps..Relying on Outdated Market Data: Using stale sales and rental data can seriously misprice a property in fast-moving markets..Ignoring Local Neighborhood Factors: Crime rates, schools, and infrastructure upgrades often impact value more than raw numbers..Overfitting Predictive Models: Over-trained models may look accurate but fail when market conditions shift..Skipping Data Quality Checks: Incomplete or biased datasets lead to flawed valuations, no matter how advanced the model is..Misinterpreting Correlation as Causation: Just because two trends move together doesn’t mean one actually drives property prices..Overlooking Economic & Policy Changes: Interest rates, zoning laws, and tax reforms can quickly disrupt data-based predictions..Relying Solely on Automation: AI models can miss nuances that experienced appraisers instantly recognize..Failing to Update Models Regularly: Analytics tools must evolve with new data and changing buyer behavior..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp