$75.00
Oracle Enterprise Data Management Cloud Service (EDMCS) is a cloud-based platform designed to centralize and govern enterprise master and metadata across complex systems. This development and support service focuses on customizing, integrating, and maintaining Oracle EDMCS to meet the specific data governance, hierarchy management, and metadata synchronization needs of an organization.
Through tailored development of data models, workflows, integration connectors, and automated processes, this service ensures that Oracle EDMCS operates efficiently, supports collaboration between business and IT teams, and maintains data integrity across the enterprise.
Custom Data Model Development: Build and refine hierarchical data models tailored to organizational structures and governance policies.
Workflow Automation: Design and implement approval workflows and data change processes to streamline collaboration.
Integration Development: Create connectors for seamless synchronization between EDMCS and ERP, EPM, and other enterprise systems.
Validation and Rules Engine: Develop custom validation rules and data quality checks to ensure accuracy.
Technical Support: Provide ongoing troubleshooting, upgrades, performance tuning, and user assistance.
Consistent Data Governance: Customized models and workflows ensure uniform master data management.
Improved Collaboration: Automated workflows enhance cooperation between IT and business users.
Seamless Integration: Data synchronization reduces silos and improves accuracy across systems.
Data Quality Assurance: Validation rules and audits prevent errors and ensure compliance.
Reliable System Support: Continuous maintenance and support keep the platform running smoothly.
This service is ideal for data governance teams, IT departments, and business leaders in medium to large enterprises who require advanced customization and ongoing support for their Oracle EDMCS deployments.
Requirement Gathering: Analyze current data governance challenges and development needs.
Development: Customize data models, workflows, integrations, and validations.
Testing: Validate data accuracy, workflow functionality, and integration reliability.
Training: Provide technical training and documentation for administrators and users.
Support: Offer ongoing maintenance, troubleshooting, and system upgrades.
