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Oracle Enterprise Data Quality from Oracle Financial Services
Provides comprehensive data quality capabilities and allows organizations to understand their data landscape, profile, cleanse, and monitor data quality.
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Data Quality & Governance Tools for Data Management
Software that monitors, measures, and improves data quality through validation rules, exception handling, lineage tracking, and governance workflows to ensure accurate and reliable information.
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Data Quality Monitoring
(9 Yes /9 Known /12 Possible features)
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Automated Data Validation Runs predefined validation rules to identify errors or inconsistencies in imported or generated data. |
Oracle Enterprise Data Quality (OEDQ) is widely recognized for its automated data validation capabilities as part of its core data cleansing and quality framework. | |
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Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
OEDQ provides real-time dashboards and monitoring of data quality indicators, including error rates and completeness metrics. | |
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Error Rate Tracks the percentage of data records containing validation errors. |
No information available | |
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Completeness Score Measures how many of the required data fields are populated and valid. |
No information available | |
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Duplicate Detection Identifies and alerts on instances of duplicate data records. |
OEDQ includes robust duplicate detection, matching, and merge/purge tools. | |
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Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
Data consistency checks are available through its validation and data quality project design functions. | |
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Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
Anomaly and outlier detection are available via profiling and advanced data quality rules. | |
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Outlier Identification Flags data points that differ significantly from established patterns or averages. |
Outlier identification features are directly supported in OEDQ profiling and analysis. | |
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Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
Users can define custom metrics and rules in OEDQ. | |
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Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
Data profiling is one of OEDQ’s core strengths, with broad statistics and insights. | |
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Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
Automated notifications such as alerts or workflow triggers are configurable in OEDQ. | |
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Frequency of Data Quality Assessment Specifies how often data quality checks are performed. |
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Validation & Exception Handling
(0 Yes /0 Known /11 Possible features)
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Custom Validation Rule Engine Supports the creation of tailored validation rules for different data entities and workflows. |
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Rule Library Includes a library of standard financial and regulatory data validation rules. |
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Rule Complexity Support Maximum number of conditions per validation rule. |
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Bulk Exception Capture Identifies and logs groups of related exceptions in a single batch process. |
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Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
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Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
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Automated Exception Resolution Suggestions Recommends possible fixes for certain event types based on historical data. |
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SLA Tracking for Exception Resolution Monitors and reports adherence to service-level agreements for resolving exceptions. |
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Exception Closure Time Average time taken to close data exceptions. |
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Role-Based Exception Approval Requires specified roles or hierarchies to approve exception resolutions. |
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Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
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Data Lineage & Traceability
(0 Yes /0 Known /10 Possible features)
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End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
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Field-Level Lineage Tracking Captures lineage at the individual data element level. |
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Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
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Source System Documentation Catalogues originating systems for all ingested data points. |
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Version History Maintains records of data versions and changes over time. |
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Lineage Query Functionality Allows users to query lineage information by data field or process. |
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Lineage Reporting Export Exports lineage maps and details in standard report formats. |
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Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
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Lineage Update Frequency Frequency at which lineage maps are refreshed to reflect new data flows. |
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Change Impact Analysis Assesses downstream implications of changes in source or process. |
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Data Governance & Policy Management
(0 Yes /0 Known /10 Possible features)
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Policy Definition Engine Enables creation and enforcement of custom data policies at field, entity, and process levels. |
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Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
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Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
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Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
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Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
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Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
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Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
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PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
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Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
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Policy Applicability Audit Logs Maintains logs of which data records or events were governed by which policies at all times. |
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Reporting & Analytics
(1 Yes /1 Known /9 Possible features)
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Pre-Built Data Quality Reports Includes standard reports on completeness, accuracy, timeliness, and other core metrics. |
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Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
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Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
OEDQ allows export to multiple report and data formats including CSV, PDF, and integration to BI tools. | |
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Report Scheduling Automates report generation and delivery on a scheduled basis. |
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KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
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Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
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Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
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Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
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Trend Analysis Report Frequency Specifies how frequently system can generate trending analytics. |
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Integration & Interoperability
(3 Yes /3 Known /9 Possible features)
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API Connectivity Supports inbound and outbound data exchange using REST, SOAP, or other standard APIs. |
OEDQ provides native API connectivity and integration capabilities for inbound and outbound data exchanges. | |
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Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
OEDQ offers a rich library of prebuilt connectors for popular databases, applications, and files. | |
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File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
Supported file formats for input/output include CSV, XML, JSON, Excel, among others. | |
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Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
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Data Synchronization Frequency How often system syncs data with connected platforms. |
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Webhooks & Event Driven Notifications Enables instant notification to other systems when data quality events occur. |
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Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
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Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
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Bi-Directional Data Flow Allows both reading from and writing to external sources. |
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Scalability & Performance
(3 Yes /3 Known /9 Possible features)
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Concurrent User Support Maximum number of users who can access the system simultaneously. |
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Peak Data Volume Capacity Maximum volume of data that can be processed daily without degradation. |
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Processing Latency Average time to process and validate an individual record. |
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Load Balancing Support Automated distribution of processing workload across multiple servers. |
Oracle EDQ supports load balancing and distributed deployment, as referenced in official documentation. | |
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Elastic Scaling Dynamically allocates resources based on system load. |
Elastic scaling supported via deployment on Oracle Cloud and containerized infrastructure. | |
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High Availability Ensures system is available and operational with minimal downtime. |
High availability and failover are mentioned as enterprise deployment features. | |
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Disaster Recovery RPO Maximum allowable data loss in the event of a disaster (Recovery Point Objective). |
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Disaster Recovery RTO Time taken to restore system functionality after a disaster (Recovery Time Objective). |
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Scalable Cloud Deployment Supports deployment on scalable public/private cloud infrastructure. |
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Security & Privacy
(3 Yes /3 Known /9 Possible features)
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Data Encryption At Rest Uses strong encryption to secure data stored in databases, file systems, or backups. |
Oracle cloud and on-premises deployments offer strong encryption for data at rest. | |
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Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
Encryption in transit is enforced as standard for all Oracle solutions, including OEDQ. | |
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Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
Multi-factor authentication is available via Oracle Identity and Access Management integration. | |
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Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
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Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
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Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
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Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
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GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
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Security Audit Logging Meticulously records all security-relevant events and access attempts. |
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User Experience & Usability
(0 Yes /0 Known /8 Possible features)
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Modern Web UI Presents a responsive, easy-to-navigate web interface. |
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Role-Based Dashboards Customizes interface and workflows based on user role. |
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Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
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Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
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Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
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Workflow Customization Allows drag-and-drop or configurable business workflow design. |
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Localization & Language Support Available in multiple languages to serve global teams. |
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Accessibility Compliance Meets standards (such as WCAG) for accessibility to all users. |
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Collaboration & Workflow
(0 Yes /0 Known /8 Possible features)
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Task Assignment & Tracking Assigns data governance or quality tasks to specific users and tracks completion. |
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In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
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Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
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Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
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Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
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Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
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Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
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Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
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Audit & Compliance
(2 Yes /2 Known /9 Possible features)
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Comprehensive Audit Logging Systematically records all user actions, changes, and governance events. |
Audit logging is a core part of OEDQ for data quality and governance actions. | |
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Change Log Detail Captures before/after values for all governed data changes. |
Detailed change logs are maintained for governed data and transformations. | |
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Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
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Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
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Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
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Configurable Retention of Audit Data Allows custom specification of how long to store audit trails, by data type or jurisdiction. |
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Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
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Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
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User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
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