Reference Data Mastering

REFERENCE DATA
MASTERING

Leverage trusted data as your
competitive and regulatory advantage

  • Unify siloed teams centralizing reference data
  • Eliminate duplication and inconsistencies
  • Strengthen governance and agility

WHO uses it

Risk, Portfolio Management, Compliance, and Reporting Teams all rely on accurate and timely reference data to support front- and back-office operations. But different departments have different requirements, different data consumption patterns, and different data sources.

When reference data is not mastered centrally, each department sources and manages data in isolation, often using different vendors, formats, or legacy systems. This leads to duplication of data acquisition and cleansing efforts, conflicting versions of the ‘truth’ across teams, and significantly higher data management costs.

It means less operational efficiency, more effort to comply with regulations, and less ability to respond quickly to new business needs.

WHAT it’s used for

Reference Data Mastering centralizes, normalizes, and distributes a trusted, enterprise-wide view of reference data from multiple sources and vendors to every team, tailored to their specific requirements.

With a single, ‘golden copy’ of securities and entity data for use throughout the firm, data inconsistencies are eliminated across trading, risk, performance, compliance, and reporting systems.

HOW it works

Data Integration: GoldenSource ingests instrument and issuer data from multiple internal systems and external vendors through managed connections.

Validation & Data Governance: Embedded rules, workflows, and data lineage tools validate, scrub, and standardize the incoming data with a complete audit trail of all data sources and transformations.

Mastering: All cleansed data is stored centrally, ensuring each security, client, or entity is mastered once, with reference links to vendor identifiers.

Data Consistency: The golden copy is published or distributed to portfolio management, risk, compliance, and reporting applications via APIs and tailored data feeds, ensuring data consistency throughout the organization.

Monitoring: Dashboards and business intelligence layers provide visible, actionable insights into data quality, distribution status, and usage.

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Get the right data to support your growth, governance and compliance.

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