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features
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support

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Description

Boost your acquisition and retention outcomes by utilizing analytics models that effectively pinpoint and engage ideal prospects tailored to your specific criteria and priorities. From the initial report of loss throughout the duration of the claim process, integrating predictive analytics models into your operations can significantly reduce the claim's age, facilitate earlier fraud detection, reveal concealed patterns, and optimize resource allocation towards high-priority cases. Collaborate with a sophisticated analytics partner that specializes in creating predictive models designed to assist insurance clients in reaching their distinct business objectives. A committed and knowledgeable team actively engages with relevant state regulatory agencies throughout the development and implementation phases to address inquiries and gather valuable insights. By classifying risks appropriately using these predictive models, you can enhance both your volume and overall profitability while staying ahead of industry trends and challenges.

Description

Enhance the efficiency of the data mining workflow to expedite model development. Gain insight into critical relationships and identify the most significant patterns. Significantly reduce the time it takes for data miners and statisticians to create models. An intuitive, self-documenting process flow diagram environment effectively outlines the complete data mining procedure to yield optimal outcomes. Furthermore, it boasts a wider array of predictive modeling techniques than any other available commercial data mining software. Why settle for anything less than the best? Business professionals and domain experts with minimal statistical expertise can easily construct their own models using SAS Rapid Predictive Modeler. Its user-friendly interface guides them through a sequence of data mining activities. The analytics findings are presented in straightforward charts that deliver the clarity required for improved decision-making. Leverage cutting-edge algorithms and industry-adapted methods to develop superior models. Additionally, confirm the accuracy of results through visual evaluations and validation metrics, ensuring a robust modeling process. This comprehensive approach not only enhances model performance but also empowers users to make informed choices with confidence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Bridger Insight XG
Juris
LexisNexis Prospect Portfolio
Nexis Data+
Nexis Diligence
Nexis Social Analytics
SAS Data Loader for Hadoop
SAS MDM
UniVoIP
UniVoIP Cloud Contact Center
VerifyRX
eCitation

Integrations

Bridger Insight XG
Juris
LexisNexis Prospect Portfolio
Nexis Data+
Nexis Diligence
Nexis Social Analytics
SAS Data Loader for Hadoop
SAS MDM
UniVoIP
UniVoIP Cloud Contact Center
VerifyRX
eCitation

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

LexisNexis

Founded

1970

Country

United States

Website

risk.lexisnexis.com/products/predictive-modeling

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/enterprise-miner.html

Product Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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