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Enterprise data management platform specifically designed for financial institutions. Provides capabilities for managing security master, pricing data, corporate actions, and ESG data. Features include data quality tools, workflow automation, audit trails, and regulatory reporting support.
Systems that acquire, process, validate, and distribute market data from various sources, including pricing information, reference data, corporate actions, and benchmarks across the organization.
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Multi-source connectivity Ability to connect to multiple data sources (exchanges, vendors, etc.). |
GoldenSource EDM manages data from multiple source types, including vendor feeds, exchanges, and internal sources, as listed on the product site. | |
Real-time data ingestion Supports real-time streaming ingestion of data feeds. |
Real-time data ingestion is a core selling point mentioned for market data management and integration in product literature. | |
Historical data import Capability to load and process historical datasets. |
The platform explicitly offers historical and time series data loading for backloading and reconciliation. | |
Automated feed scheduling Automatic scheduling and orchestration of data imports. |
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Latency Average time between data publication and ingestion. |
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Concurrent sources supported Maximum number of data sources that can be ingested simultaneously. |
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Custom feed handler Support for custom or user-defined data feed integration. |
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Vendor API compatibility Supports major market data vendor APIs (Bloomberg, Refinitiv, ICE, etc.). |
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Intraday updates Capability to acquire and process intraday or tick-level data. |
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File and message protocol support Handles protocols such as FIX, SFTP, API, and others. |
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Retry mechanisms Automated retry and failover during feed interruptions. |
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Data coverage breadth Number of distinct data asset classes supported. |
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Data normalization Automated standardization of source data into a consistent format. |
GoldenSource EDM emphasizes normalization of inputs to a golden copy data model. | |
Data mapping Maps vendor or source fields to internal data models. |
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Cross-referencing Cross-linking between identifiers (RIC, ISIN, SEDOL, CUSIP, etc.). |
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Identifier management Tracks and manages multiple security identifiers. |
Tracks and manages multi-identifier securities as a security master solution. | |
Data enrichment Augmenting records with additional metadata from internal or third-party sources. |
Data enrichment, including ESG metadata, is listed in solution highlights. | |
Derived values calculation Calculation of derived metrics such as VWAP, moving averages. |
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Business rule engine Configurable rules for custom transformations and enrichment. |
GoldenSource provides workflow and custom rule engines for transformation and enrichment. | |
Processing speed Rate at which data records can be processed. |
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Batch processing support Handles scheduled or on-demand batch jobs for data transformation. |
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Corporate actions adjustment Processes events like dividends, splits, and applies them to security data. |
Corporate actions adjustment processes are documented in product capabilities. | |
Data lineage tracking Tracks the origins and transformation steps for each data element. |
Audit trails and lineage tracking highlighted for regulatory compliance and change management. | |
Benchmark enrichment Integration of benchmark indices for comparison or analytics. |
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Outlier detection Automated checks to identify out-of-range or anomalous values. |
Outlier and data quality checks are part of the platform's data quality toolset. | |
Completeness checks Verification that all required data fields are populated. |
Completeness is validated as part of data quality controls. | |
Data accuracy scoring Assigns data quality scores based on predefined rules. |
Data quality scoring or grading is typically provided for regulatory and internal data quality assurance. | |
Range validation Validates that data falls within expected parameters. |
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Data consistency checks Ensures that data is internally consistent across time and sources. |
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Duplicate detection and resolution Identifies and merges or removes duplicate entries. |
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Exception management workflow Manages data issues and exceptions with audit trails. |
Exception workflow and management is described in published documentation. | |
Alerts and notifications Automatic notifications on validation failures or data anomalies. |
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Repair tools Manual and automated tools for correcting data errors. |
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Validation rule configurability Ability to define and maintain custom validation rules. |
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Audit logs of validations Maintain a full history of validation actions and outcomes. |
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Vendor data comparison Cross-checks data from multiple vendors/sources for discrepancies. |
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Real-time data publishing Sends updates to consumers as soon as new data arrives. |
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Scheduled batch data delivery Supports timed or event-triggered distribution. |
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API access Availability of RESTful or other programmatic interfaces. |
API (including REST) notably available for integration and data distribution. | |
File export Exports to standard file formats (CSV, Excel, XML, JSON). |
File export in standard formats such as CSV and XML is a supported feature. | |
Message queue integration Delivers data via messaging systems (Kafka, MQ, etc.). |
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User-defined delivery channels Support for custom or client-specified distribution mechanisms. |
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Consumer permissions management Controls which users/applications receive which data. |
Consumer/application-level permissions are supported for controlling downstream data access. | |
Latency to delivery Time taken from data validation to downstream delivery. |
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Downstream system integration Supports integration with trade platforms, analytics, risk, and reporting systems. |
Platform lists integration with downstream systems such as risk and analytics tools. | |
Notifications on data delivery Alerts stakeholders when data is delivered or when delivery fails. |
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Bulk download support Ability to download large datasets on demand. |
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Output data volume Maximum data that can be distributed within a given period. |
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Role-based access control (RBAC) Granular user and system permissions. |
Role-based access control (RBAC) is standard for compliance in enterprise data management. | |
Audit trail Comprehensive logging of all user and system actions for compliance. |
Audit trails are a highlighted capability (regulatory readiness, change tracking). | |
Encryption in transit Secures data as it moves across networks. |
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Encryption at rest Stores data in encrypted format on disk. |
Encryption at rest and in transit is required for financial data management and is covered in the security architecture. | |
Data masking Redacts sensitive fields from unauthorized users. |
No information available | |
Compliance reporting Automated generation of reports for regulatory purposes. |
Compliance and regulatory reporting tools for MiFID, SFDR, and others are a published feature. | |
Data retention management Configurable policies for data storage and deletion. |
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GDPR/CCPA compliance features Functions to support privacy obligations and subject requests. |
GDPR/CCPA support referenced in privacy, data management policies. | |
Vendor access controls Restricts and audits external vendor access to systems and data. |
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Third-party security certifications Holds certifications such as ISO 27001, SOC 2, etc. |
Frequently cited ISO 27001 certification (SOC 2 is often available on request in major providers). | |
Secure API gateway Protects and monitors all API accesses. |
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Penetration tests frequency Number of penetration/security tests performed per year. |
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User management dashboard Admin interface for adding, removing, and managing users. |
Comprehensive user management dashboards discussed as part of admin experience. | |
Configuration management User-friendly tools for configuring data sources, rules, and outputs. |
Configuration management tools for data feeds, validation, and workflow. | |
Customizable dashboards Interactive dashboards for monitoring data flows and system health. |
Operational dashboards for data flow/health are depicted in product screenshots. | |
Self-service data access Allows users to query and retrieve data without IT intervention. |
Self-service data query and extraction (via dashboards and export) is listed. | |
Workflow automation Tools for automating operational processes. |
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Multi-language support User interface available in multiple languages. |
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Onboarding tools Guides and tools for fast setup of new data sources or users. |
Onboarding and data source mapping tools are a standard feature. | |
Custom reporting Users can create ad hoc or scheduled reports. |
Custom, ad hoc, and scheduled reporting are supported. | |
Help and documentation Comprehensive user guides, APIs, and support documentation. |
Comprehensive product and API documentation is made available for clients. | |
Change tracking Logs and highlights system setting changes. |
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User roles supported Number of customizable user roles/groups. |
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Horizontal scalability Supports scaling by adding more servers or nodes. |
Scalability by horizontal scaling or cloud deployment listed under product architecture. | |
High availability Built-in redundancy and failover for continuous operation. |
High-availability and disaster recovery are standard expectations; specifically described as embedded capabilities. | |
Cloud-native deployment Supports cloud and hybrid deployments. |
Cloud-native deployment (AWS, Azure, hybrid) is advertised as a delivery method. | |
Elastic resource allocation Resources scale automatically with demand. |
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Maximum throughput Peak volume of data that can be processed per unit time. |
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Supported concurrent users Maximum number of simultaneous users. |
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Disaster recovery Integrated disaster recovery and rapid restore features. |
Disaster recovery planning (including backup/restore) is part of the solution. | |
Load balancing Automatic distribution of workload across resources. |
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Data partitioning Splits data for scalable storage and processing. |
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Minimum supported response time Fastest guaranteed response for a standard query. |
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Rolling upgrades Enables upgrades without downtime. |
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Edge deployment support Deployable close to data sources for ultra-low-latency. |
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License enforcement Monitors and enforces contractual data usage limits. |
No information available | |
Data vendor entitlement management Controls access to data assets as per vendor contracts. |
Entitlement management for vendor feeds described as part of data usage compliance. | |
Usage analytics Tracks how and by whom data is consumed. |
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Cost allocation tools Allocates and reports data costs by user, team, or business unit. |
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Contract management Stores, tracks, and alerts on market data contracts. |
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Data usage dashboard Visualizes consumption to optimize vendor spend. |
Usage dashboards to optimize licensing and vendor spend are a known capability. | |
Automated entitlements provisioning Automates granting and revoking of data rights. |
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Audit of vendor usage Auditable trails of all vendor data accesses. |
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Inbound/outbound data usage limits Maximum data volumes allowed by licensing contracts. |
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Excess usage alerts Notifications when data access exceeds contractual entitlements. |
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Flexible entitlement models Supports complex licensing structures (by asset class, geography, user type, etc.). |
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License exception handling Processes permissions for exceptional or urgent access needs. |
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Feed health monitoring Continuous monitoring of inbound/outbound data feeds for up/down states. |
Feed health monitoring and status dashboards are core monitoring functions. | |
Application performance monitoring Monitors resource usage, latency, and system responsiveness. |
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Custom alert configuration Allows users to set specific alerting conditions. |
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Alert notification channels Supports email, SMS, dashboard pop-ups, etc. |
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Incident tracking integration Integrates with ticketing/incident systems (ServiceNow, Jira, etc.). |
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Downtime tracking Measures and logs system or feed outages. |
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SLA monitoring Checks if platform performance meets service-level agreements. |
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Event log retention Length of time logs and metrics are stored. |
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Proactive anomaly detection AI/ML-driven detection of unexpected system behaviors. |
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User activity monitoring Tracks user-level activity for security and compliance. |
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Dashboard visualization of alerts Consolidated view of all operational metrics and alerts. |
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Escalation workflow for critical alerts Automated escalation process for unresolved incidents. |
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Multi-identifier support Manages various instrument and counterparty identifiers (ISIN, LEI, SEDOL, etc.). |
GoldenSource EDM supports multiple instrument and party identifiers as security master. | |
Entity relationship mapping Captures relationships between entities (issuer, parent, subsidiary, etc.). |
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Corporate actions feed integration Integrates with standardized action feeds from vendors and custodians. |
Integrated corporate actions feeds from SWIFT/other vendors shown in documentation. | |
Corporate action event validation Validates and confirms authenticity of announced events. |
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Event impact calculation Determines the effect of actions (splits, mergers, etc.) on security data. |
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Audit history of changes Maintains a trail of changes to reference data and corporate action processing. |
Audit trail/history of changes to reference/corporate action data forms part of compliance feature set. | |
Golden copy management Maintains a single validated version of key reference data. |
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Exception workflow for action events Routes problematic events for manual review or escalation. |
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Cross-asset class reference data Supports all asset types: equities, fixed income, derivatives, etc. |
Cross-asset data and support for multiple asset classes and instruments is a main selling point. | |
Automated data refresh frequency Frequency at which reference data is automatically refreshed. |
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Source reconciliation Cross-verifies reference data from multiple sources. |
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Orphaned record detection Identifies reference data without supporting records (for deprecation/removal). |
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Standard report library Pre-built reports for common market data, quality, and usage metrics. |
Provides standard and custom business/quality reports for reference and market data. | |
Custom report builder Create, schedule, and distribute custom reports. |
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Data lineage analysis Visualize the data’s journey from source through transformation to consumer. |
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Audit and compliance reporting Dedicated reports for compliance review and audits. |
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Usage statistics dashboard Interactive dashboard for visualizing consumption, errors, and bottlenecks. |
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Drill-down analytics Enables detailed exploration of underlying datasets. |
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Time series analytics Analyzes trends and patterns in price or reference data over time. |
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Export to BI tools Integration with popular business intelligence platforms. |
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Scheduled report delivery Automated report generation and emailing. |
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Ad hoc query support On-demand querying and analysis of market or reference data. |
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Large dataset reporting performance Maximum data volume supported for interactive reporting. |
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Custom visualization tools Built-in tools for data charting and visualization. |
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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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Automated Data Validation Runs predefined validation rules to identify errors or inconsistencies in imported or generated data. |
GoldenSource EDM has integrated data quality tools including automated validation rules, as referenced in the product notes and documentation. | |
Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
Real-time dashboards for data quality are typical of EDM platforms; marketing materials for GoldenSource specifically mention dashboards for data quality metrics. | |
Error Rate Tracks the percentage of data records containing validation errors. |
No information available | |
Completeness Score Measures how many of the required data fields are populated and valid. |
No information available | |
Duplicate Detection Identifies and alerts on instances of duplicate data records. |
Duplicate detection is a standard data quality control provided by GoldenSource EDM. | |
Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
Product materials describe built-in data consistency checks between fields and across datasets. | |
Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
Anomaly detection capabilities are available for spotting suspicious or out-of-pattern data entries. | |
Outlier Identification Flags data points that differ significantly from established patterns or averages. |
Outlier identification is supported through data validation and exception handling modules. | |
Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
GoldenSource allows users to define custom quality metrics, per product documentation. | |
Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
Data profiling is a listed feature, including summary statistics and attribute analysis. | |
Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
Automated notifications for quality exceptions and workflow events are part of the workflow automation suite. | |
Frequency of Data Quality Assessment Specifies how often data quality checks are performed. |
No information available |
Custom Validation Rule Engine Supports the creation of tailored validation rules for different data entities and workflows. |
Supports user-defined validation rules through a custom rules engine. | |
Rule Library Includes a library of standard financial and regulatory data validation rules. |
Comes with a library of industry-standard validation rules. | |
Rule Complexity Support Maximum number of conditions per validation rule. |
No information available | |
Bulk Exception Capture Identifies and logs groups of related exceptions in a single batch process. |
Batch exception capture supported per workflow documentation. | |
Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
Workflow supports routing exceptions to user queues based on rules. | |
Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
Audit trails are maintained for exception investigations and resolutions. | |
Automated Exception Resolution Suggestions Recommends possible fixes for certain event types based on historical data. |
Exception resolution suggestions available when configured, based on patterns/historical data. | |
SLA Tracking for Exception Resolution Monitors and reports adherence to service-level agreements for resolving exceptions. |
SLA tracking functionality available for exception handling timelines. | |
Exception Closure Time Average time taken to close data exceptions. |
No information available | |
Role-Based Exception Approval Requires specified roles or hierarchies to approve exception resolutions. |
Role-based approvals are part of workflow configuration options. | |
Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
System supports classification of exceptions by severity/priority. |
End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
Data flow and lineage visualization supported, including end-to-end tracing. | |
Field-Level Lineage Tracking Captures lineage at the individual data element level. |
Field-level lineage is referenced in data stewardship and governance documentation. | |
Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
Data transformations are logged as part of the data pipeline. | |
Source System Documentation Catalogues originating systems for all ingested data points. |
Source system cataloging is available as part of metadata management. | |
Version History Maintains records of data versions and changes over time. |
Versioning of data sets and audit trails for changes are standard functionality. | |
Lineage Query Functionality Allows users to query lineage information by data field or process. |
Users can query lineage data, per product demos and documentation. | |
Lineage Reporting Export Exports lineage maps and details in standard report formats. |
Lineage reporting export is a feature (to PDF, CSV, etc.). | |
Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
Automated dependency analysis is provided in complex data domains. | |
Lineage Update Frequency Frequency at which lineage maps are refreshed to reflect new data flows. |
No information available | |
Change Impact Analysis Assesses downstream implications of changes in source or process. |
Downstream and upstream change impact analysis tools are available. |
Policy Definition Engine Enables creation and enforcement of custom data policies at field, entity, and process levels. |
Policy definition and enforcement engine is part of the governance controls. | |
Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
Data stewardship and assignment module exists in the product. | |
Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
Role-based access control is standard; user roles are configurable. | |
Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
Automated monitoring of policy and regulatory compliance is present. | |
Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
Supports configuration of automated data retention schedules by data type. | |
Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
Data can be classified and flagged for privacy, sensitivity, and regulatory requirements. | |
Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
Data masking is supported for test and reporting workflows. | |
PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
Tracks and traces PII/confidential data, with compliance controls for regulations like GDPR. | |
Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
Approval processes for governance and data requests are automated and customizable. | |
Policy Applicability Audit Logs Maintains logs of which data records or events were governed by which policies at all times. |
Audit logs include which policies governed any data record/event at all times. |
Pre-Built Data Quality Reports Includes standard reports on completeness, accuracy, timeliness, and other core metrics. |
Pre-built data quality reports are provided as part of reporting module. | |
Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
Custom report builder is referenced as part of the reporting/analytics suite. | |
Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
Report exports supported for CSV, PDF, XLSX, and BI platform integration. | |
Report Scheduling Automates report generation and delivery on a scheduled basis. |
Report scheduling (automated, scheduled delivery) is a core feature. | |
KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
KPI definition and tracking is supported for data quality and workflow management. | |
Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
Visualization tools (charts, graphs, heatmaps) are a standard offering. | |
Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
Trend and longitudinal analysis available; visualizes data quality improvement over time. | |
Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
Automated insights/recommendations are generated from data quality analytics. | |
Trend Analysis Report Frequency Specifies how frequently system can generate trending analytics. |
No information available |
API Connectivity Supports inbound and outbound data exchange using REST, SOAP, or other standard APIs. |
Supports both inbound/outbound API data exchange (REST/SOAP). | |
Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
Offers pre-built connectors to major financial systems, as highlighted in integration literature. | |
File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
Multi-format file support, including CSV, XML, JSON, Excel, provided. | |
Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
Automated/scheduled and trigger-driven data import/export processes are configurable. | |
Data Synchronization Frequency How often system syncs data with connected platforms. |
No information available | |
Webhooks & Event Driven Notifications Enables instant notification to other systems when data quality events occur. |
Webhooks/event-driven notifications are available for integration scenarios. | |
Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
Multiple authentication protocols (OAuth, SAML, LDAP) supported. | |
Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
Integration health monitoring and failure alerting functionality exists. | |
Bi-Directional Data Flow Allows both reading from and writing to external sources. |
Bi-directional connectivity for reading and writing data from/to external sources supported. |
Concurrent User Support Maximum number of users who can access the system simultaneously. |
No information available | |
Peak Data Volume Capacity Maximum volume of data that can be processed daily without degradation. |
No information available | |
Processing Latency Average time to process and validate an individual record. |
No information available | |
Load Balancing Support Automated distribution of processing workload across multiple servers. |
Load balancing and distributed deployment capabilities provided for scalability. | |
Elastic Scaling Dynamically allocates resources based on system load. |
Supports elastic scaling for performance under varying load. | |
High Availability Ensures system is available and operational with minimal downtime. |
High availability architecture is standard for GoldenSource cloud and on-prem deployment. | |
Disaster Recovery RPO Maximum allowable data loss in the event of a disaster (Recovery Point Objective). |
No information available | |
Disaster Recovery RTO Time taken to restore system functionality after a disaster (Recovery Time Objective). |
No information available | |
Scalable Cloud Deployment Supports deployment on scalable public/private cloud infrastructure. |
Scalable deployment on public/private cloud architectures is supported. |
Data Encryption At Rest Uses strong encryption to secure data stored in databases, file systems, or backups. |
Data encryption at rest is enforced in the platform. | |
Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
Data encryption in transit (TLS/SSL) is mandated for all data exchanges. | |
Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
Multi-factor authentication available for user logins. | |
Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
Regular vulnerability scanning performed as part of product security posture. | |
Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
Intrusion detection and active monitoring features available. | |
Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
Granular access rights can be set for users/groups/data domains. | |
Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
Automated data breach notifications configured per product security documentation. | |
GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
GDPR and CCPA compliance is a supported use case with features and documentation available. | |
Security Audit Logging Meticulously records all security-relevant events and access attempts. |
Comprehensive security audit logging available across system components. |
Modern Web UI Presents a responsive, easy-to-navigate web interface. |
Modern, responsive web interface is core to the EDM platform. | |
Role-Based Dashboards Customizes interface and workflows based on user role. |
Dashboards and workflows are role-centric and customizable. | |
Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
Self-service data quality tools available for business users. | |
Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
Contextual help and inline documentation is available throughout the platform. | |
Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
Mobile accessibility for monitoring and some workflows is enabled. | |
Workflow Customization Allows drag-and-drop or configurable business workflow design. |
Workflow customization via drag-and-drop/configurable builders. | |
Localization & Language Support Available in multiple languages to serve global teams. |
Localization and global language support referenced in product internationalization documentation. | |
Accessibility Compliance Meets standards (such as WCAG) for accessibility to all users. |
No information available |
Task Assignment & Tracking Assigns data governance or quality tasks to specific users and tracks completion. |
Task assignment and pipeline tracking is a standard part of workflow module. | |
In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
Direct in-app notification for workflow events and issues is listed as a feature. | |
Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
Collaborative resolution features are highlighted in workflow tools. | |
Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
Complete audit trails including activity feeds for transparency. | |
Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
Workflow automation is available for reviews, approvals, and escalations. | |
Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
Commenting on individual data records is a collaborative feature. | |
Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
Approval chain setup is supported for data changes and governance. | |
Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
Workflow analytics reporting available to show process efficiency and bottlenecks. |
Comprehensive Audit Logging Systematically records all user actions, changes, and governance events. |
Comprehensive audit logging across user activity and governance events. | |
Change Log Detail Captures before/after values for all governed data changes. |
Change log includes before/after values for all data changes. | |
Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
Automated compliance reporting and generation of regulatory evidence packages. | |
Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
Regulatory framework templates included for common global regulations. | |
Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
Supports integration and export to third-party audit tools. | |
Configurable Retention of Audit Data Allows custom specification of how long to store audit trails, by data type or jurisdiction. |
Configurable audit data retention schedules available. | |
Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
Advanced audit query interface for investigating records based on multiple criteria. | |
Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
Scheduled/manual compliance checklist automation as part of compliance module. | |
User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
User certification/signoff workflows available for compliance. |
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