Insurance Data

Merkle is a data aggregator. We take an analytic quantitative approach leveraging our Data Valuation Lab, a rigorous analytical framework used to evaluate and bring together data sources from across the entirety of the data marketplace. DataSource™ merges more than 40 distinct data inputs selected from a field of several hundred providers, tested over the 25-year history of the product. For each data category, Merkle leverages the Data Valuation Lab to isolate the best source of data on the market and supplement it with additional inputs to maximize coverage and consensus, ultimately resulting in a superior solution. Merkle grades this work based on a battery of statistical measures and continuous input from Merkle's acclaimed analytics team and performance marketer clients to optimize our offering. Because of this unyieldingly rigorous methodology, DataSource™ consistently outperforms competitive offerings based on back-testing and in-market results. Also built using our proprietary Data Valuation Lab process to assess and bring together industry-leading data are Merkle's B2B Connect and specialty data products, such as Merkury Life Events. Sample Tables Include: -Premium Finance -DataSourceTM Core -Summarized Credit Scores/Elements -Customer Propensity Scores -Premium Auto Data Sample Fields Included: -Change in Income last 12 months -Disposable Income Predictor -Liquid Assets Ratio -Wealth Predictor Score -Wealth Profiles -Home Affordability Index -Stocks/Bonds -Probable Switching Auto Insurance Policy -Probable Purchasing Life Insurance -Automobile Count -In Market Predictor -New Car Model Propensity -Average Vehicle Age -Total Vehicle Count -Style, Class, Make, Model, Year

搜集汇总

背景与挑战

背景概述

该数据集由Merkle公司通过其Data Valuation Lab框架整合保险市场数据，融合了40多个精选数据源并经过长期验证。它包含财务、信用评分、车辆属性等多类表格和字段，专门用于保险行业的分析和预测应用。