Inaccuracies often arise from measurement errors, manual entry mistakes, or extreme outliers that distort model learning – and these problems frequently occur alongside missing values that make simple fixes ineffective. Outdated records can also introduce obsolete signals that skew models meant to reflect current behavior.
For organizations investing in AI, these challenges create more than technical setbacks -they create risk. Organizations report poor data quality costs them on average US $12.9 million per year. When models are trained on flawed data, the outcomes are unpredictable. Business decisions, valuations, and forecasts based on these models can quickly lose credibility.
The Hidden Cost of Dirty Data
Data scientists often spend 60–80 percent of their time cleaning and reconciling inputs rather than analyzing or innovating -a time sink that slows innovation across industries.
Every duplicate entry, mismatched record, and outdated file eats into compute cycles and slows model convergence. Clean, well-structured data, on the other hand, accelerates optimization – removing the noise that wastes resources and reduces accuracy.
That’s why the key to faster, smarter, and fairer AI isn’t more algorithms – it’s better data.
Where Others Wrestle, TWG Clients Start Ahead
While others struggle to clean and reconcile fragmented property records, TWG clients begin with curated, AI-ready datasets built for precision, consistency, and real-world relevance. Each dataset is rigorously verified and standardized — giving organizations the clarity and confidence to power next-generation AI models without the cleanup.
Our comprehensive data solutions include:
- Property Data – verified parcel-level details for millions of U.S. properties.
- Deed & Mortgage Data – accurate, time-stamped lending and transaction histories.
- Building Permit Data – trusted insights into property improvements and infrastructure trends.
- Automated Valuation Model (AVM) Data – predictive valuations backed by consistent, transparent inputs.
- Real Estate Listing & MLS Data – complete visibility into active and historical listings.
- Pre-Foreclosure & Mortgage Assignment Data – early indicators of market shifts and borrower risk.
- HOA, Probate, and Divorce Data – contextual insights that strengthen risk modeling and market analysis.
- NMLS & Loan Originator Contact Data – regulatory and relationship intelligence to power financial workflows.
Together, these interconnected datasets form the clean, consistent foundation that modern AI demands. Instead of spending weeks cleaning messy spreadsheets or reconciling outdated fields, TWG clients start ahead – with data already structured for accuracy, reliability, and performance.
The Result: Faster & Smarter AI
When organizations start with clean, standardized data, they build AI that’s not just faster, but also more reliable and equitable. TWG’s property intelligence eliminates the guesswork – giving data science and engineering teams the foundation they need to move from experimentation to execution, faster.
With The Warren Group, AI doesn’t start with cleanup.
It starts with confidence.
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