Oracle Financial Services Data Management

from Oracle Financial Services

Comprehensive data management solution for banks providing data integration, quality management, governance, and analytics with pre-built banking data models.
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Platforms for storing, processing, and analyzing the bank's data assets.

Data Management analysis
Automation and Workflow Management
(7 Yes /7 Known /10 Possible features)

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1. Bot/Agent Integration
Support for robotic process automation (RPA) or agent-based processing.
No information available
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2. Job Concurrency Limit
Maximum number of simultaneous jobs supported.
No information available
3. User Approval Steps
Insert mandatory human approval into automated workflows.
Supports user approval steps in critical workflows as part of compliance and process automation.
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4. Workflow Version Control
Track and revert to previous workflow configurations.
No information available
5. Exception Handling
Automated mechanisms to manage errors or workflow exceptions.
Exception handling routines are configurable in Oracle workflow tools.
6. Event-driven Automation
Trigger workflows based on external or system events.
Event-driven workflow automation featuring triggers from internal and external sources.
7. Task Prioritization
Ability to prioritize or sequence tasks according to business urgency.
Task prioritization is described as part of workflow automation and business rule configuration.
8. Process Monitoring
Real-time visibility into running and completed automation workflows.
Process and workflow monitoring included in operational dashboards.
9. Scheduled Jobs/Tasks
Automation of routine tasks such as data refresh, backups, or reporting.
Routine automation tasks can be scheduled for data refresh and backup.
10. Workflow Designer
Graphical tools for building and modifying data and infrastructure workflows.
Workflow designer tools available for end-user automation and customization.
Interoperability and Open Standards
(8 Yes /8 Known /10 Possible features)

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User and Identity Management
(9 Yes /9 Known /10 Possible features)

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System Performance and Optimization
(7 Yes /7 Known /10 Possible features)

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Compliance and Regulatory Features
(7 Yes /7 Known /10 Possible features)

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Analytics and Reporting
(8 Yes /8 Known /10 Possible features)

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Data Quality Management
(9 Yes /9 Known /10 Possible features)

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Infrastructure Resilience
(8 Yes /8 Known /10 Possible features)

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Data Storage and Scalability
(6 Yes /6 Known /10 Possible features)

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Data Security
(9 Yes /9 Known /10 Possible features)

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Data Integration
(8 Yes /8 Known /10 Possible features)

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