G2 Vendor Directory

SAS Risk Modeling vs. Creditsafe

A side-by-side comparison based on G2 review data.

MetricSAS Risk Modeling

by SAS Institute

Creditsafe

by Creditsafe

Overall rating4.24.5
Review count12358
Ease of use8.39.4
Ease of setup8.39.4
Quality of support8.79.3
Meets requirements8.79.3
NPS5070.028011
Small Business25.0%39.4%
Mid-Market25.0%53.1%
Enterprise50.0%7.6%
Total page views122,025
Total LLM citations2112,141

SAS Risk Modeling

SAS Risk Modeling delivers an integrated infrastructure to handle data, build models using traditional statistical methods as well as advanced machine learning techniques, backtest the model, and implement them quickly providing a more flexible risk modeling solution than any outsourcing alternative. With SAS Risk Modeling, modelers can create open, explainable models in a well-managed and controlled environment. And they can do it for their regulatory risk, business models and using the latest analytic techniques, such as artificial intelligence (AI) and machine learning.

Pros

  • Implementation Ease
  • Ease of Use
  • Analytics
  • Features

Creditsafe

Creditsafe is a comprehensive data intelligence solution designed to help organizations manage credit risk, compliance, and data hygiene with confidence. By delivering global coverage breadth across more than 430 million businesses in over 200 countries, Creditsafe provides the data freshness & source diversity companies need to make informed, data-driven decisions that fuel growth and operational efficiency. The platform is built around key business drivers that address modern credit and compliance challenges.

Pros

  • Ease of Use
  • Setup Ease
  • Ease of Setup
  • Efficiency
  • Data Management
  • User Interface