Total Home Value - Automated Valuation Model
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**Overview**
A nationwide, automated property valuation solution using a state-of-the-art, single model methodology that leverages artificial intelligence and machine learning capabilities built on Cloud technology is available with Total Home Value X from Cotality. A property database of more than 5.5 billion records, updated daily, captures 99.9% of U.S. properties and spans more than 50 years to produce automated valuations that can be used anywhere a current property value is relevant. While Total Home Value X uses a single model methodology, Cotality currently offers four different model tunings for bulk data deliveries:
- Total Home Value X for Marketing: Highest hit-rate AVM for marketing uses, such as segmentation, and validating consumer-reported home value estimates at time of application.
- Total Home Value X for Risk Management: High level of accuracy and hit rate combination for quality control, workflow, new portfolio evaluation, and other risk management uses.
- Total Home Value X for Originations: Highest level of accuracy when performing property valuation during the loan underwriting process for purchases, refinances, and home equity/HELOCs.
- Total Home Value X for Consumers: Highest hit-rate AVM with rounded values for displaying AVM information on a website for consumers.
Total Home Value X supports diverse use cases and markets, spanning mortgage, real estate, FinTech, ReTech, Government, insurance and even consumers. Total Home Value X may be ordered as a standalone bulk product delivery. Total Home Value X data is also available in the Voluntary Lien Status products from Cotality.
**Use cases**
- **Asset Valuation** - Total Home Value - Automated Valuation Model (AVM) provides a reliable, AI-driven valuation of properties, which can be used for validating the worth of a property. Real estate businesses, brokers, and investors can benefit from this data when making property investment decisions or when assessing their portfolio value.
- **Customer Acquisition** - The Total Home Value - AVM can be used for customer acquisition by mortgage lenders and real estate firms. By providing reliable property value estimates, these entities can attract customers looking for accurate information to inform their property purchase, refinancing, or home equity decisions.
- **Risk Analysis** - Total Home Value - AVM supports risk analysis by providing accurate property valuations. Lenders and insurers can use this data to understand the value of a property before making lending or insurance decisions, thereby mitigating their risk exposure.
- **Pricing Analysis** - Real estate professionals, including brokers and real estate appraisers, can use Total Home Value - AVM for pricing analysis. The model provides accurate, AI-driven property valuations that can inform pricing strategies and help ensure properties are priced appropriately for the market.
- **Market Analysis** - Total Home Value - AVM is a valuable tool for conducting market analysis. By providing accurate property valuations, it allows real estate professionals, investors, and policy makers to understand property value trends and dynamics, which can inform investment decisions, policy making, and market forecasting.
- **Machine Learning** - Total Home Value - AVM utilizes AI and machine learning capabilities to generate its property valuations. This can be used as a case study or reference for organizations looking to implement machine learning in their own operations, particularly those in the real estate and financial sectors.
**Product details**
- Datasets represented include THV_MODELX_V1_VIEW.
- Sample fields include CLIP, FIPS_CODE, SITUS_STREET_ADDRESS, SITUS_CITY, SITUS_STATE, SITUS_ZIP_CODE, LAST_MARKET_SALE_DERIVED_DATE, LAST_MARKET_SALE_AMOUNT, ESTIMATED_VALUE_MKTG, CONFIDENCE_SCORE_MKTG and FORECAST_STANDARD_DEVIATION_MKTG.
提供机构:
CoreLogic
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供基于AI和机器学习的全美房产自动估值服务,覆盖99.9%的房产记录,包含四种针对不同场景优化的估值模型。适用于金融、房地产、保险等多个行业的资产评估、风险分析和市场研究等用途。
以上内容由遇见数据集搜集并总结生成



