The Challenge: Processing Large-Scale
Decisions Efficiently
Many organizations handle high-volume data processing—whether it’s calculating thousands of salaries, updating pricing across a product catalog or applying policies to aid compliance.
Each transaction often needs to go through a structured set of business rules, pulling information from multiple sources. Traditional processing methods can create inefficiencies, increase operational workload and slow decision-making. Batch rule execution streamlines this process by applying business logic at scale, reducing latency and improving operational efficiency.
Adjusting product prices based on demand and inventory
Running payroll calculations with tax and benefits adjustments
Evaluating claims for processing and policy alignment
How the Corticon Decision Management System Supports High-Volume Decision Processing
The Progress Corticon business rules engine is designed for efficient batch rule execution, helping organizations automate large-scale business decisions.
Processes thousands to millions of records in a structured and efficient manner
Performance
Leverages a multi-threaded approach to enable distribution of workloads across processing capacity
Pulls and writes data within existing systems for an automated workflow
Helps maintain consistency by identifying records that need further review before processing
Enhancing Data Processing Reliability
When managing high-volume transactions, having structured validation and processing controls helps maintain accuracy and operational efficiency. The Corticon platform enables:
Aligns rule enforcement with specific business requirements for flexible compliance and control
Delivers consistent execution of decision logic for reliable, repeatable outcomes
Surfaces outliers and anomalies through tracking and reporting, enabling focused intervention where it matters most
Benefits
With the Corticon platform’s batch rule execution capabilities, organizations can efficiently automate complex, high-volume decision-making while maintaining control over data processing workflows.
Control
Fine-tune queries to efficiently retrieve and process only the necessary data, improving overall performance.
Processing
Execute large volumes of rule-driven transactions quickly and efficiently for streamlined decision automation.
Connectivity
Easily integrate with multiple data sources, with built-in support for various systems and the flexibility to extend further as needed.
