Oracle Data Relationship Management (DRM) is an enterprise change management solution for building and retaining consistency within master data assets despite endless changes necessary to support underlying transactional and analytical systems. As companies grow and evolve, it becomes essential to manage master data across information silos that result from mergers and acquisitions, departmental initiatives, or legacy system proliferation. Data consistency, integrity, quality and accuracy suffer and no one trusts the information and insight that ensues. Oracle DRM provides the industry's first data model-agnostic master data management solution built to enable financial and analytical master data management in dynamic, fast-changing business environments.
Create an enterprise view of financial chart of accounts, cost centers and legal entities with a view to govern on-going financial management and consolidation based on consistent definitions of financial and reporting structures across general ledger systems, financial consolidation, planning and budgeting systems.
Create an enterprise view of analytical dimensions, reporting structures, performance measures and their related attributes and hierarchies using Oracle DRM's data model-agnostic foundation. Construct departmental perspectives that bear referential integrity and consistency with master data constructs based on validations and business rules that enforce enterprise governance policies. Synchronize master data with downstream systems including BI/EPM systems, data warehouses and data marts to gain trustworthy insight.
Through data governance, organizations can exercise business process control and automation over the processes and methods used by their data custodians to handle change management and remediation of enterprise information assets such as master data, enterprise dimensions, hierarchies, relationships, associated attributes and mappings. Oracle Data Relationship Governance (DRG) is a fully configurable, collaborative business application that automates change request approval and data remediation workflows between front-line business users, subject matter experts, signing authorities and data stewards using automated, repeatable business processes to enable data quality, policy compliance, user collaboration, and change awareness across the business community.
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