ASG-metaRDM

 

Fully-integrated, metadata-based Reference Data Management solution

ASG-metaRDM offers companies a governed and controlled masterview of business reference data they can rely on. It provides a comprehensive solution to consolidate, cleanse, govern, and distribute key reference data across the enterprise.

ASG-metaRDM enables you to maintain a consistent representation of reference data across all departments and databases in your organization, and externally. It allows collaboration between IT and business users to manage internal data in one centralized place, and to facilitate the distribution of changes in data to all systems requiring notification, on customized terms and schedules. ASG-metaRDM provides a managed framework for mastering business reference data. This framework allows for mastering of multi-level hierarchies and relationships within reference data, and categorization into business concepts and contexts. It also offers a workflow engine so that reference data entities can be managed according to the internal governance process with online submission, approvals, and notifications.

Differentiators

  • Collects reference data from diverse sources across the enterprise.

  • Creates, manages, and shares the master repository of business reference data.

  • Groups master reference data into concepts and contexts that truly represent your business.

  • Enables the linkage of reference data to business terms/definitions.

  • Identifies poor quality reference data for decision to reject, tolerate, or accept as part of master repository.

  • Exports governed reference data for consumption by downstream applications.

Benefits

  • Increases Business Efficiency, Productivity, and Growth

    Business analysts, data management experts, and IT can readily find business reference data.

  • Single View of Key Business Data

    Provides a single, unified, 360-degree view of business reference data that the whole enterprise can trust and use.

  • Facilitates Data Quality

    Helps identify poor quality data and its root source, and sets quality standards.

  • Increases Data Confidence

    Offers a clear path of data lineage, and provides users with an understanding of the reference data’s heritage that results in more confidence in the data.

  • Establishes Data Stewardship

    Helps establish ownership of the data to manage accountability through audit trails for successful data governance risk and compliance initiatives.

  • Accelerates Data Governance

    Maintains a complete and searchable audit trail of Create, Update, and Delete activity, which is critical for effective governance risk and compliance initiatives.