Reference Data Management (RDM) Services provide a structured approach to managing standardized data sets, such as airport or currenecy codes, Community of Interest and industry classifications, and organizational hierarchies, used across applications and business processes. These services support data standardization, helping organizations ensure that reference data remains accurate, consistent, and easily accessible. RDM Services play a crucial role in data interoperability, ensuring that all systems in an organization adhere to standardized values and definitions, reducing data discrepancies, and enhancing data integrity for both operational and analytical purposes. Both MDM and RDM Services form the backbone of organizational data management strategies, supporting data quality, governance, and consistency across the organization and ensuring that critical data is reliable and accessible for all stakeholders. Key Features: * Standardization & Version Control: Establishes and enforces consistent definitions and classifications across reference data sets, with version control to manage changes and updates. * Controlled Vocabulary & Taxonomy Management: Supports the creation and maintenance of controlled vocabularies, taxonomies, and code lists that ensure consistent use of terms and categories across the organization. * Cross-System Consistency & Integration: Enables integration of reference data with multiple applications, ensuring alignment and reducing inconsistencies across systems and processes. * Audit Trail & Data Lineage: Tracks changes and provides a history of updates, supporting traceability and helping users understand the evolution of reference data over time. * Data Governance & Access Control: Implements governance policies for managing reference data, ensuring appropriate access controls, and supporting data stewardship for reference data maintenance. * Validation & Quality Control: Applies validation checks and quality measures to ensure that reference data adheres to standards, reducing errors and improving data reliability across systems.