What it does and why
it’s important
A low/no-code solution for logistic regression modelling (robust binning / WOE based) and lifecycle management.
- Inspect, analyse, and visualize datasets
- Automate documentation and reporting
- Build industry best practice logistic regression models with zero coding
- Manage model lifecycle and governance through structured workflows
Key Capabilities
Low/No-Code Model Build
- Load and inspect datasets with visual graphs and statistics
- Automatically preprocess data and explore correlations, PSI, CSI metrics
- Set parameters: build period, out-of-time data, sampling, thresholds, segmentation
- Advanced binning algorithms optimize model performance
- Evaluate model quality visually: weights of evidence, variable stability, population stability, GINI
- AI generated documentation
Control the full model lifecycle
- Create groups and assign roles
- Route models through workflow for review and approval
- Enable comments and adjustments to iterate on models Track status and maintain risk register
- Manage Ownership, Validation & Review Track whether models are active/inactive
- External validators access for validation Supports cross-functional review: finance, data science, credit, collections teams can review models across groups
- Supports cross-functional review: finance, data science, credit, collections teams can review models across groups
Maintain compliance & transparency
- Central repository for all models and artifacts
- Track materiality, ownership, validation, and review schedules
- View version history, approval history, and audit logs
- Ensure approvals are documented, traceable and visible to external validators
- Enable cross-team collaboration while maintaining controlled access
- Elimination of implementation risk (optional with ICMS Decision Engine)
The Solution
ICMS drives innovation in banking, credit, and regulatory compliance.
Discover how our platform achieves exceptional outcomes.
Key Differentiators
Low/no-code model building
Empowers users to create high-quality models efficiently
Auto-deployment of model
Seamless integration into the ICMS Decision Engine (optional)
Advanced binning & optimization
Models are statistically robust and transparent
Visual evaluation
Quickly assess model quality and variable contributions
AI-assisted documentation
Embedment of industry best practice aligned with regulatory requirements
Role-based workflow
Manage model lifecycle, approval, and governance
Centralized model repository
Maintain a single source of truth for all models
Ownership & Validation tracking
Track ownership, validation, review schedules, and model activity
Cross-team collaboration
Enable experts across departments to review and approve models