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at Financial Technnology Year
A data lineage and metadata management platform that helps fund managers visualize data flows, understand dependencies, and monitor regulatory impacts. Features include collaborative modeling, impact analysis, and regulatory mapping for requirements like SFDR, BCBS 239, and GDPR.
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. |
Not as far as we are aware.* Documentation and industry reviews focus on lineage, impact analysis, and regulatory mapping rather than automated validation of record-level data. | |
Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
No information available | |
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. |
No information available | |
Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
No information available | |
Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
No information available | |
Outlier Identification Flags data points that differ significantly from established patterns or averages. |
No information available | |
Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
No information available | |
Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
No information available | |
Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
No information available | |
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. |
No information available | |
Rule Library Includes a library of standard financial and regulatory data validation rules. |
No information available | |
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. |
No information available | |
Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
No information available | |
Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
No information available | |
Automated Exception Resolution Suggestions Recommends possible fixes for certain event types based on historical data. |
No information available | |
SLA Tracking for Exception Resolution Monitors and reports adherence to service-level agreements for resolving exceptions. |
No information available | |
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. |
No information available | |
Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
No information available |
End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
Data lineage visualization is Solidatus' core value proposition, explicitly illustrated on their website and product documents. | |
Field-Level Lineage Tracking Captures lineage at the individual data element level. |
Product highlights field-level and granular lineage tracking capabilities for regulatory compliance and complex data flows. | |
Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
Transformation steps and changes across the data pipeline can be modeled and visualized as part of the lineage graphs. | |
Source System Documentation Catalogues originating systems for all ingested data points. |
Source system attribution and documentation is a native feature for lineage and governance traceability. | |
Version History Maintains records of data versions and changes over time. |
Solidatus enables model versioning and change history per documentation and industry reviews. | |
Lineage Query Functionality Allows users to query lineage information by data field or process. |
The platform supports granular querying of lineage by asset, process, or data element. | |
Lineage Reporting Export Exports lineage maps and details in standard report formats. |
Lineage reports and visualizations can be exported for external analysis and regulatory documentation per Solidatus feature lists. | |
Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
Interdependencies across data elements and data flows are automatically uncovered and mapped, a primary Solidatus capability. | |
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. |
Impact analysis (change impact, regulatory impact) is central to how Solidatus is positioned and described. |
Policy Definition Engine Enables creation and enforcement of custom data policies at field, entity, and process levels. |
No information available | |
Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
No information available | |
Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
No information available | |
Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
No information available | |
Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
No information available | |
Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
No information available | |
Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
No information available | |
PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
No information available | |
Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
No information available | |
Policy Applicability Audit Logs Maintains logs of which data records or events were governed by which policies at all times. |
No information available |
Pre-Built Data Quality Reports Includes standard reports on completeness, accuracy, timeliness, and other core metrics. |
No information available | |
Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
No information available | |
Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
No information available | |
Report Scheduling Automates report generation and delivery on a scheduled basis. |
No information available | |
KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
No information available | |
Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
No information available | |
Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
No information available | |
Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
No information available | |
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. |
Solidatus includes open API access for push/pull and integrations. See 'integrations' section of Solution Overview. | |
Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
Platform provides connectors to external systems (databases, cloud providers, BI), as stated in documentation. | |
File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
Supports a range of data export/import formats, including CSV, JSON, Excel; detailed in product guides. | |
Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
Automated data ingest/export is highlighted for metadata synchronization between systems and cloud data platforms. | |
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. |
No information available | |
Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
Authentication integrations (SSO protocols such as SAML, OAuth) are supported per product security documentation. | |
Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
No information available | |
Bi-Directional Data Flow Allows both reading from and writing to external sources. |
Supports data flow in both directions between external sources and the Solidatus platform; required for metadata sync and integration. |
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. |
No information available | |
Elastic Scaling Dynamically allocates resources based on system load. |
No information available | |
High Availability Ensures system is available and operational with minimal downtime. |
Platform is available as a managed SaaS, private cloud, or hybrid—supporting high-availability deployments. | |
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. |
Core architecture is designed for cloud-native, scalable deployment—see solution brief and Azure Marketplace listings. |
Data Encryption At Rest Uses strong encryption to secure data stored in databases, file systems, or backups. |
No information available | |
Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
No information available | |
Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
No information available | |
Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
No information available | |
Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
No information available | |
Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
No information available | |
Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
No information available | |
GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
Solidatus provides mapping and controls for major privacy regulations (e.g., GDPR coverage/features are specifically marketed). | |
Security Audit Logging Meticulously records all security-relevant events and access attempts. |
No information available |
Modern Web UI Presents a responsive, easy-to-navigate web interface. |
Modern web user interface is demonstrated in videos, screenshots, and UX reviews. | |
Role-Based Dashboards Customizes interface and workflows based on user role. |
Role-based dashboards and model/documentation views for different stakeholders are advertised (governance/IT/SMEs). | |
Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
No information available | |
Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
No information available | |
Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
No information available | |
Workflow Customization Allows drag-and-drop or configurable business workflow design. |
No information available | |
Localization & Language Support Available in multiple languages to serve global teams. |
No information available | |
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 collaborative workflows (including user assignment of modeling tasks and review) are demonstrated in Solidatus material. | |
In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
Commenting, notifications, and @mention functionality within models support collaborative communication. | |
Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
Multiple users can engage simultaneously on models; collaborative issue resolution is a Solidatus workflow highlight. | |
Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
Audit trails for changes and actions within a model are supported for transparency and regulatory use cases. | |
Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
Platform supports automation for review/approval processes, escalation, and user assignments. | |
Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
Per user documentation, model elements and data records allow for commentary and discussion threads. | |
Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
Configurable approval chains for model or data changes are supported, as seen in governance workflow demos. | |
Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
No information available |
Comprehensive Audit Logging Systematically records all user actions, changes, and governance events. |
Comprehensive audit logs are available for actions taken within the platform, a regulatory compliance necessity. | |
Change Log Detail Captures before/after values for all governed data changes. |
Audit logs capture before/after values for model/data governance changes. | |
Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
No information available | |
Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
Templates for BCBS 239, SFDR, GDPR mapping and reporting are explicitly provided by Solidatus for regulatory frameworks. | |
Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
APIs and export options allow integration with external audit/compliance tools, referenced in system integration guides. | |
Configurable Retention of Audit Data Allows custom specification of how long to store audit trails, by data type or jurisdiction. |
Customizable retention settings for audit data are available to support regulatory and organizational requirements. | |
Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
Audit records are fully queryable by user, time, event etc., per platform documentation. | |
Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
No information available | |
User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
No information available |
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