What is LexisNexis Predictive Modeling?
Enhance your customer acquisition and retention strategies by employing advanced analytics models that adeptly identify and attract your ideal target audience based on your unique requirements and goals. By monitoring the initial loss report throughout the entirety of the claims process, the integration of predictive analytics can lead to a notable decrease in the duration of claims, enable prompt fraud detection, uncover hidden trends, and ensure that resources are allocated effectively to high-priority cases. Partner with an expert analytics firm that specializes in crafting predictive models tailored to help insurance companies achieve their specific business targets. A dedicated and experienced team will work closely with pertinent state regulatory bodies throughout both the design and execution stages, facilitating responses to queries and gathering essential insights. Furthermore, by accurately categorizing risks through these predictive models, you can boost both your claim volume and overall profitability, while remaining proactive in navigating industry developments and obstacles. This proactive approach not only enhances your operational efficiency but also establishes a competitive edge in a constantly evolving market.
Pricing
Free Trial Offered?:
Yes
Integrations
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Company Facts
Company Name:
LexisNexis
Date Founded:
1970
Company Location:
United States
Company Website:
risk.lexisnexis.com/products/predictive-modeling
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Webinars
Video Library
Support
Standard Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
LexisNexis Predictive Modeling Categories and Features
Predictive Analytics Software
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis