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What is Paris?

A swift and adaptable decision engine can fully address all your customer management requirements. Paris stands out for its ease of use and seamless adoption, thanks to its user-friendly interface. Paris is a versatile decision engine system that promotes extensive configurability and growth potential. It enables the deployment of various models, including both machine learning and traditional approaches, across a diverse range of products and decision science applications such as marketing, credit scoring, customer management, and collections. Every aspect of the system can be audited, with input, derived, and output variables accessible to any reporting suite for comprehensive analysis. This software emphasizes flexibility and is geared towards business needs. It offers robust visualization and interaction capabilities with decision trees, alongside a thorough analysis and design of an 'open box strategy.' Continuous improvement and strategy testing are integral features, ensuring that route planning and decision-making processes remain trustworthy and precise. Furthermore, it supports multiple bureaus and open banking, enhancing its overall functionality and reach. Overall, the adaptability and depth of features make Paris an invaluable tool for modern businesses.

What is Modeller?

In the current era of machine learning, software designed for model development leverages over three decades of expertise in credit risk modeling. Modeller stands out as a versatile, clear, and interactive tool that empowers organizations to maximize the potential of their analytical teams. It provides a wide range of methodologies, facilitates the swift creation of robust models, ensures comprehensive explanations, and nurtures the growth of junior team members. Users can select from diverse modeling approaches, including machine learning, to attain the highest levels of predictive precision, particularly when dealing with intricate relationships and multicollinearity. With a simple click, one can generate standard industry binary and continuous target models. The software supports decision tree modeling through CHAID trees and CART methods, along with options like logistic regression, elastic net models, survival analysis (Cox PH), random forest, XGBoost, and stochastic gradient descent. Furthermore, it offers export capabilities to SAS, SQL, and PMML, enabling seamless integration with other scoring and decision-making applications. This flexibility ensures that organizations can easily adapt the models to fit their specific operational contexts and requirements.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS
Windows
On-Prem

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Paragon Business Solutions

Date Founded

1991

Company Location

United Kingdom

Company Website

www.credit-scoring.co.uk/paris

Company Facts

Organization Name

Paragon Business Solutions

Date Founded

1991

Company Location

United Kingdom

Company Website

www.credit-scoring.co.uk/modeller

Categories and Features

Credit Management

Not specified

Open Banking

Not specified

Open Finance

Not specified

Categories and Features

Credit Management

Not specified

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Popular Alternatives