Understanding Reference Data Management with a Rules Engine
Reference data is foundational for ensuring consistency and standardization acrosssystems. It includes common datasets such as postal codes, addresses, country codes,and more. Effective management of this data is crucial for seamless operationsand interoperability across applications.
Benefits of Reference Data Management with Higson
Centralized Data Control:Maintain all reference data in a single, easily accessible repository, eliminating duplication and discrepancies.
User-Friendly Management:Non-technical users can manage and update data dictionaries without relying on IT, thanks to Higson’s intuitive user interface.
Enhanced Consistency:Seamlessly integrate reference data across all systems through API connections, ensuring standardized information across your organization.
Customizable Data Structures:Create unique data structures tailored to your business needs, supporting scalability and adaptability.
Improved Operational Efficiency:Reduce errors and manual effort associated with maintaining reference data across multiple systems.
More features
Higson Studio
Web UI that lets users to manage their business rules
Higson Runtime
Engine embeddable as a lightweight jar
Higson Rest api
Evaluate parameters or functions via HTTP
Time Versioning
Create multiple versions of the business logic and schedule them in a timeline
Domain Designer
Design any domain you want to configure with business logic
Functions
Groovy-based scripting language that lets users to extend decision tables
Persistance Engine
Optional fast persister of domain model data
Built-in Profilers
Monitor the usage of decision tables and DSL scripts or functions
Import / Export To Excel
You can import / export configuration from / to Excel
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