Batch Analytics
Large-volume predictive scoring combined with portfolio-level analytics — VAR, Monte Carlo simulation, and Expected Income Capacity modeling — delivered through secure batch processing or real-time API, with zero disruption to your existing data pipeline.
Organizations managing large credit portfolios need more than individual score lookups. They require the ability to score entire portfolios at scale, quantify expected losses, forecast income capacity, and monitor risk across thousands or millions of records — without overhauling their existing infrastructure.
Standard industry models often lack the granularity and predictive power to identify creditworthy borrowers that other scoring methods overlook, leaving approval rates lower than they could be and risk assessments less precise than they should be.
Batch Analytics
Caltec's Batch Analytics platform combines high-volume predictive scoring with portfolio-level analytical tools in a single, modular solution. The platform supports everything from secure batch file processing to real-time API calls, adapting to your existing data pipeline and hosting environment without disruption.
Our algorithms are built to exceed traditional benchmarks. By leveraging advanced analytics, we provide scores that are more granular and accurate than those from the standard models currently dominating the market — directly increasing approval rates while managing risk.
Predictive Scoring at Scale
High-volume scoring that processes entire portfolios — from thousands to millions of records — through secure batch files or real-time API integration.
Score entire customer bases or prospect lists in a single processing run
More granular and accurate scores than standard market models
Identify creditworthy borrowers that other scoring methods overlook
Directly increase approval rates while managing risk exposure
Delivery Modes
Batch Processing
Secure file-based ingestion — submit a portfolio, receive scored results
Real-Time API
Live scoring via API calls integrated into your existing systems
Value at Risk (VAR) & Monte Carlo Simulation
Portfolio-level risk quantification using Monte Carlo simulation to estimate expected loss and Value at Risk across defined time horizons.
Calculate expected loss and VAR for credit portfolios at 3, 6, 9, and 12-month horizons
Calculate expected provision amounts across the same time horizons
Risk Management System for periodical automated control of credit risk variation
Powered by Caltec's proprietary predictive loss models for measurement precision beyond standard approaches
Expected Income Capacity (EIC) Modeling
Predict the expected income capacity of consumers with a reasonable confidence level, delivering a range of expected income — minimum, most likely, and maximum.
Income estimation for borrowers who cannot provide traditional proof of income
Confidence-range output (minimum, most likely, maximum) rather than a single-point estimate
Sources may include credit bureau report data, vehicle ownership data, social media sources, and employment history
Employs neural networks and Bayesian distributions for analytical precision
Integration & Deployment
We do not force a one-size-fits-all workflow. Our technology adapts to your environment:
Supports secure batch processing and real-time API calls — zero disruption to your current data pipeline
Deploy within your existing private cloud, on-premises servers, or via our secure hosted environment — whatever aligns with your compliance and security protocols
Implementation is a partnership, not a transaction — our team works directly with your engineers to ensure smooth, secure integration calibrated to your specific market needs
Industry Applicability
Batch Analytics serves organizations across multiple industries:
Portfolio scoring, loss forecasting, provision calculation, income estimation
Subscriber portfolio risk scoring and churn prediction at scale
Portfolio-level risk quantification and exposure analytics
Large-volume credit risk scoring for customer bases with diverse risk profiles
Any organization with credit or risk evaluation needs that manages portfolios at scale
Move beyond individual score lookups to portfolio-level analytical power — scoring at scale, quantifying expected losses, forecasting income capacity, and monitoring risk across your entire portfolio with tools that exceed standard market benchmarks.