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DataRobot AI Platform from DataRobot
Offers automated data preparation, model building, and performance monitoring, with governance and validation features integrated to ensure data integrity and accessibility.
Product analysis by function
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.
More Data Quality & Governance Tools
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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. |
DataRobot AI Platform offers automated data prep and validation steps as part of its data pipeline and model lifecycle, implying automated data validation. | |
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Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
Notes and website resources highlight real-time dashboards for monitoring model, data, and prediction health, which cover data quality 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. |
DataRobot's data prep includes duplicate detection and removal among its automated data preparation features. | |
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Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
Cross-field consistency and validation are part of the data prep pipelines enabling data consistency checks. | |
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Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
Anomaly detection and outlier identification are core to model building and data quality monitoring in DataRobot. | |
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Outlier Identification Flags data points that differ significantly from established patterns or averages. |
DataRobot offers outlier detection as part of data profiling and model explainability workflows. | |
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Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
User-defined metrics and validation rules are supported via GUI and APIs. | |
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Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
Data profiling is supported before modeling and for data governance assessment. | |
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Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
Automated email and in-platform notifications are part of the monitoring and governance workflow. | |
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Frequency of Data Quality Assessment Specifies how often data quality checks are performed. |
No information available |
Validation & Exception Handling
(7 Yes /7 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. |
Custom validation rule creation is possible for data transformations and governance. | |
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Rule Library Includes a library of standard financial and regulatory data validation rules. |
Rule libraries and templates for data quality and AI governance are included. | |
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Rule Complexity Support Maximum number of conditions per validation rule. |
No information available | |
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Bulk Exception Capture Identifies and logs groups of related exceptions in a single batch process. |
Bulk/batch exception handling is included in pipeline and monitoring workflows. | |
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Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
No information available | |
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Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
Detailed audit trails and exception management with investigation records are built in. | |
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Automated Exception Resolution Suggestions Recommends possible fixes for certain event types based on historical data. |
Automated suggestions during validation and issue handling leverage historical data and AI. | |
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SLA Tracking for Exception Resolution Monitors and reports adherence to service-level agreements for resolving exceptions. |
No information available | |
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Exception Closure Time Average time taken to close data exceptions. |
No information available | |
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Role-Based Exception Approval Requires specified roles or hierarchies to approve exception resolutions. |
Role-based resolution and control for exceptions are part of DataRobot's governance. | |
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Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
Exceptions can be classified and prioritized by severity. |
Data Lineage & Traceability
(6 Yes /6 Known /10 Possible features)
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End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
DataRobot includes lineage visualization showing how data flows from ingestion to report/model. | |
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Field-Level Lineage Tracking Captures lineage at the individual data element level. |
No information available | |
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Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
Transformation steps are logged and visible via the platform's activity/audit trail. | |
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Source System Documentation Catalogues originating systems for all ingested data points. |
Source system info and data catalog functions are supported for ingested data. | |
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Version History Maintains records of data versions and changes over time. |
Versioning of datasets and model data is a core feature. | |
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Lineage Query Functionality Allows users to query lineage information by data field or process. |
No information available | |
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Lineage Reporting Export Exports lineage maps and details in standard report formats. |
Lineage/exporting lineages and details for compliance and reporting is supported. | |
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Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
DataRobot performs dependency analysis, especially for data/model feature relationships. | |
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Lineage Update Frequency Frequency at which lineage maps are refreshed to reflect new data flows. |
No information available | |
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Change Impact Analysis Assesses downstream implications of changes in source or process. |
No information available |
Data Governance & Policy Management
(8 Yes /8 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. |
Policy creation and enforcement for data/model governance available in the platform. | |
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Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
No information available | |
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Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
Strict RBAC permissions configurable for data/model access. | |
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Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
Automated policy compliance checks are referenced in the platform's governance offerings. | |
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Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
Automated data retention/destruction rules for various data types are supported. | |
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Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
Platform supports classification/tagging for sensitivity, privacy, and regulatory needs. | |
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Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
Data masking can be applied for sensitive fields in test, API or reporting contexts. | |
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PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
DataRobot supports PII/confidential data tagging and tracking. | |
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Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
Automated governance approval workflows are included. | |
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Policy Applicability Audit Logs Maintains logs of which data records or events were governed by which policies at all times. |
No information available |
Reporting & Analytics
(7 Yes /7 Known /9 Possible features)
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Pre-Built Data Quality Reports Includes standard reports on completeness, accuracy, timeliness, and other core metrics. |
Standard quality and compliance reporting are built into the reporting/analytics suite. | |
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Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
Custom dashboards and reporting designers are available. | |
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Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
Supports report/data export to common formats (CSV, PDF, XLSX, etc.) | |
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Report Scheduling Automates report generation and delivery on a scheduled basis. |
Scheduled report generation and delivery are platform features. | |
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KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
KPIs can be defined and monitored for data and ML process management. | |
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Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
Charts, graphs and dashboards form a core part of the DataRobot UI. | |
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Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
No information available | |
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Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
Automated recommendations/insights provided as part of model/data monitoring and drift detection. | |
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Trend Analysis Report Frequency Specifies how frequently system can generate trending analytics. |
No information available |
Integration & Interoperability
(8 Yes /8 Known /9 Possible features)
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API Connectivity Supports inbound and outbound data exchange using REST, SOAP, or other standard APIs. |
Comprehensive API support for inbound/outbound data exchange and control. | |
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Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
Library of connectors for major data science/data management platforms and cloud apps. | |
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File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
Supports ingest/egress in CSV, JSON, Excel, and other standard data science file formats. | |
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Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
Automated, scheduled, and trigger-based data import/export supported. | |
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Data Synchronization Frequency How often system syncs data with connected platforms. |
No information available | |
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Webhooks & Event Driven Notifications Enables instant notification to other systems when data quality events occur. |
Webhooks, events and notifications are available for integrating with external systems. | |
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Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
Supports OAuth, SAML and custom authentication protocols. | |
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Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
Integration health status and alerting is provided in the SaaS management dashboards. | |
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Bi-Directional Data Flow Allows both reading from and writing to external sources. |
Both read and write connections are available in data and predictions APIs. |
Scalability & Performance
(4 Yes /4 Known /9 Possible features)
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Concurrent User Support Maximum number of users who can access the system simultaneously. |
No information available | |
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Peak Data Volume Capacity Maximum volume of data that can be processed daily without degradation. |
No information available | |
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Processing Latency Average time to process and validate an individual record. |
No information available | |
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Load Balancing Support Automated distribution of processing workload across multiple servers. |
Load balancing is employed in the platform's distributed deployment models. | |
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Elastic Scaling Dynamically allocates resources based on system load. |
Elastic scaling on public and private cloud supported per platform documentation. | |
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High Availability Ensures system is available and operational with minimal downtime. |
Designed for high availability; uptime SLAs are specified for SaaS offering. | |
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Disaster Recovery RPO Maximum allowable data loss in the event of a disaster (Recovery Point Objective). |
No information available | |
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Disaster Recovery RTO Time taken to restore system functionality after a disaster (Recovery Time Objective). |
No information available | |
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Scalable Cloud Deployment Supports deployment on scalable public/private cloud infrastructure. |
Platform runs on major scalable cloud infrastructure, supporting elastic and scalable deployment. |
Security & Privacy
(9 Yes /9 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. |
Encrypts all data at rest (databases, storage, backups) per security/technical documentation. | |
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Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
Encrypts all data in transit with TLS or equivalent encryption. | |
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Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
MFA supported for all user logins in platform security documentation. | |
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Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
Continuous vulnerability scanning with evidence of regular pen testing. | |
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Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
Continuous monitoring for security events and anomalous activity. | |
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Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
Highly granular access controls discussed in platform access management details. | |
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Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
Automated breach notifications are part of security monitoring suite. | |
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GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
Built-in support for GDPR, CCPA, and other major data privacy laws. | |
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Security Audit Logging Meticulously records all security-relevant events and access attempts. |
System logs all security events as per compliance documentation. |
User Experience & Usability
(6 Yes /6 Known /8 Possible features)
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Modern Web UI Presents a responsive, easy-to-navigate web interface. |
Modern, responsive web interface with configurable layouts. | |
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Role-Based Dashboards Customizes interface and workflows based on user role. |
User dashboards are customizable by role and function. | |
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Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
Self-service tools exist for validation, auditing, and quality monitoring without IT. | |
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Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
Integrated help, tooltips, and contextual documentation through platform UI. | |
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Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
Mobile access (responsive UI and app support) highlighted on website. | |
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Workflow Customization Allows drag-and-drop or configurable business workflow design. |
Workflow and business process customization is available via the platform. | |
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Localization & Language Support Available in multiple languages to serve global teams. |
No information available | |
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Accessibility Compliance Meets standards (such as WCAG) for accessibility to all users. |
No information available |
Collaboration & Workflow
(5 Yes /5 Known /8 Possible features)
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Task Assignment & Tracking Assigns data governance or quality tasks to specific users and tracks completion. |
Tasks can be assigned to users and progress tracked in data governance workflows. | |
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In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
In-app notifications and messaging functionality highlighted for workflow collaboration. | |
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Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
Collaborative workspaces and issue resolution/kb features included. | |
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Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
Audit trails and activity feeds are present for transparency and review. | |
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Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
Workflow automation is a core design focus of the platform. | |
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Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
No information available | |
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Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
No information available | |
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Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
No information available |
Audit & Compliance
(8 Yes /8 Known /9 Possible features)
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Comprehensive Audit Logging Systematically records all user actions, changes, and governance events. |
Comprehensive audit logging of all actions and governance events enabled. | |
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Change Log Detail Captures before/after values for all governed data changes. |
Change logs (before/after values) recorded for key governed data. | |
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Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
Automated compliance documentation/reporting included. | |
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Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
Library of regulatory templates exists for various compliance frameworks. | |
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Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
API and export capabilities for connecting to third-party audit/compliance tools. | |
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Configurable Retention of Audit Data Allows custom specification of how long to store audit trails, by data type or jurisdiction. |
Custom retention settings for audit/compliance data are configurable. | |
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Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
Interfaces for advanced querying of audit logs are present in governance tools. | |
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Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
Automated compliance checklist workflows included in the governance module. | |
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User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
No information available |
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