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Reference Data Management

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
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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

Discover how Higson works step by step

Flows - a clear decision graph
November 25, 2025
Tag
May 6, 2025
Adding New User
May 6, 2025
Profiles
May 6, 2025
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