Predictive analytics models
We offer robust data, data science expertise and technical innovation to create high-performing custom models to optimize consumer and commercial strategies while managing risk
Differentiated, high-quality data at your fingertips
Our comprehensive data sets provide blended views of consumer and commercial data. Access our robust library of traditional and alternative data sources to start your data analytics and modeling strategies off on the right foot.
Unlock deeper insights with predictive modeling solutions
No matter your needs, we’ve got the data analytics and modeling solutions that cover both consumer and commercial credit. Our predictive modeling tools and off-the-shelf solutions cover a wide range of customer and client profiles and can be implemented quickly and efficiently.
Deploy explainable and custom models
Gain the edge you need to outperform in today’s market. Differentiate your business from competitors and create predictive analytics models specific to your portfolio. Optimize predictiveness with our ethical and explainable machine-learned models and deployable predictive modeling solutions.
Frequently asked questions
Predictive analytics is a type of data analysis that uses algorithms and modeling to identify patterns in data and make predictions about future events. It involves using historical data to build models and strategies that can be used to predict future outcomes, such as customer behavior or market trends, and take appropriate actions.
A model in data analytics is a mathematical representation of a real-world process or system. It is a simplified version of the system that captures its essential features and behavior, which can be used to make predictions or decisions. Overall, models are an important tool in data analytics, as they allow organizations to represent complex systems and processes in a simplified way — and to use that representation to make predictions, optimize strategies and gain valuable insights.
Predictive analytics can be used in a variety of applications to help organizations make more informed decisions to better meet business goals. The use of predictive analytics can be applied to diverse industries, including marketing, lending, automotive and healthcare.
Advanced Analytics & Modeling
Cloud Applications & Services
Collections & Debt Recovery
Credit Decisioning
Credit Profile Reports
Customer Management
Data Quality & Management
Data Reporting & Furnishing
Data Sources
Fraud Management
Identity Solutions
Marketing Solutions
Regulatory Compliance
Risk Management
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- Solutions
- Advanced Analytics & Modeling
- Cloud Applications & Services
- Collections & Debt Recovery
- Customer Management
- Credit Decisioning
- Credit Profile Reports
- Data Reporting & Furnishing
- Data Sources
- Data Quality & Management
- Employer Services
- Fraud Management
- Identity Solutions
- Marketing Solutions
- Regulatory Compliance
- Risk Management