Data
Data
InRule connects, orchestrates, and validates data instantly, ensuring decision accuracy and quality at enterprise scale.
Connect and use decision-ready data
Enterprises face costly errors when the data model doesn’t align with business needs or when data quality issues appear at execution. InRule integrates seamlessly, validates and enriches data in real time, and ensures decisions run on trusted information.
Data model alignment
Ensure the data model fully supports evolving business requirements.
Execution data quality
Prevent errors by detecting and resolving data quality issues at runtime.
Real-time orchestration
Validate, transform, and enrich data instantly at execution time.
The most important factor in choosing InRule’s platform was its ability to capture all the different data sets … turning it into actionable insights and dashboards was a true game-changer.
– Supply Chain Optimization Manager, Essity (manufacturing)
Data in action with InRule
Connect and ingest data
Use connectors and APIs to pull data from enterprise systems into InRule. This ensures decisions are based on current and relevant information.
Transform and validate at runtime
Apply schema binding and business rules to clean, validate, and transform data as it enters decision flows. This prevents errors and ensures accuracy.
Execute logic where the data lives
Run rules in-process, externally, or with the JavaScript runtime close to the data source. This reduces latency and avoids unnecessary data movement.
Audit, monitor, and refine
Capture logs, traces, and performance data to provide transparency and compliance. Use monitoring and feedback to improve decision accuracy over time.
Quickly integrate
Use your data without delay
Teams connect data sources quickly with validation and schema tools.
Auto-complete, typing, and mapping reduce errors during setup. Data becomes decision-ready fast and stays aligned to implementation plans.
Data model requirements
Integrate seamlessly with enterprise systems
Connectors and APIs link core apps and databases without rework.
Salesforce, Dynamics, and core databases integrate directly, reducing dependence on lengthy IT projects while preserving governance.
Execution data quality
Orchestrate data in real time
Data is transformed, validated, and enriched at execution time.
Business language rules and decision tables shape data on the fly. When movement of data is inefficient, the JavaScript runtime runs rules where the data lives, including Snowflake.
Rule specifications
Scale while maintaining data quality and consistency
Schema binding and strong typing preserve accuracy as volume grows.
Containers and modular services ensure reliable performance as data volume grows, while validation safeguards keep data definitions consistent and trustworthy over time.
Resources
Explore the platform in action
Explore real-world examples of how organizations use InRule to unify rules, processes, and data. Read articles, watch webinars, and access expert insights on building transparent, adaptable automation.
