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Alveo DataMaster from Asset Control
Data mastering, validation, cleansing, enrichment, and distribution. Workflow-driven data quality, governance, data lineage, and audit. Specialized for securities, pricing, and portfolio data in investment management.
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.
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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. |
Alveo DataMaster provides workflow-driven data validation as part of its data mastering and cleansing features. | |
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Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
The product offers dashboards and real-time monitoring for data quality, as highlighted in the product's web documentation. | |
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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. |
Deduplication is a standard part of data mastering and quality routines advertised by Alveo. | |
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Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
Internal consistency checks are part of validation and cleansing steps as per workflow-driven documentation. | |
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Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
Anomaly detection is referenced via outlier and exception workflow support. | |
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Outlier Identification Flags data points that differ significantly from established patterns or averages. |
Outlier identification is included in the product's quality monitoring for financial data. | |
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Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
Custom data quality metrics and validations supported, as clients can configure rules. | |
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Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
Data profiling and summary statistics are called out as tools for understanding and improving data. | |
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Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
Automated user notifications are part of workflow for exceptions and rule breaches. | |
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Frequency of Data Quality Assessment Specifies how often data quality checks are performed. |
No information available |
Validation & Exception Handling
(5 Yes /5 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 engines are available for defining financial and operational controls. | |
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Rule Library Includes a library of standard financial and regulatory data validation rules. |
Type and reference of standard financial validation rules indicated by the targeting of securities and pricing data. | |
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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 exception capture is part of workflow-driven batch data operations. | |
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Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
Workflow routing for exception handling is documented as a key feature of Alveo DataMaster. | |
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Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
Comprehensive audit trails, including on exception handling, are available as mentioned in DataMaster audit workflow description. | |
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Automated Exception Resolution Suggestions Recommends possible fixes for certain event types based on historical data. |
No information available | |
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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. |
No information available | |
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Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
No information available |
Data Lineage & Traceability
(9 Yes /9 Known /10 Possible features)
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End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
The product offers end-to-end data lineage visualization as part of its core offering, as explicitly stated on the product page. | |
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Field-Level Lineage Tracking Captures lineage at the individual data element level. |
Field-level lineage tracking is described as part of detailed data lineage documentation. | |
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Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
Transformation logging is integral to both data quality and lineage audit. | |
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Source System Documentation Catalogues originating systems for all ingested data points. |
Source system documentation is part of lineage and traceability. | |
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Version History Maintains records of data versions and changes over time. |
Version history for golden copy and mastered datasets is described as a requirement for control and audit. | |
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Lineage Query Functionality Allows users to query lineage information by data field or process. |
Users can query lineage information for both data and process traceability, per public product information. | |
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Lineage Reporting Export Exports lineage maps and details in standard report formats. |
Export of lineage maps and data to external reports is mentioned under reporting capabilities. | |
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Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
Automated identification of data dependencies described as part of impact and anomaly analysis capabilities. | |
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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. |
DataMaster assesses downstream impacts of source changes as part of lineage capability. |
Data Governance & Policy Management
(9 Yes /9 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. |
Custom data policies and rule enforcement are cornerstone governance features in Alveo's offering. | |
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Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
Data steward roles and assignments are part of Alveo's governance model for data domains. | |
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Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
RBAC is explicitly described in governance and access management descriptions. | |
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Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
The system automates ongoing governance and regulatory compliance as part of core features. | |
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Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
Retention and destruction policies for data are supported within governance/IT operations controls. | |
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Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
Classification of data by sensitivity and policy is included in the governance functionality. | |
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Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
Data masking is mentioned in documentation for secure data distribution and reporting. | |
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PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
The platform tracks PII and confidential data for compliance, as required for financial sector clients. | |
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Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
Alveo DataMaster provides workflow-driven approval for policy and data changes. | |
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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
(8 Yes /8 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 data quality and completeness reports are included, as advertised in both product brochures and website. | |
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Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
Custom and ad hoc report building is a key capability called out in documentation. | |
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Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
Multi-format report export (CSV, PDF, etc.) included in reporting engine details. | |
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Report Scheduling Automates report generation and delivery on a scheduled basis. |
Report scheduling and automated delivery supported as part of platform automation. | |
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KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
Custom KPI definitions for data management monitored in dashboard. | |
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Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
Graphical/visual dashboard representations detailed in product overviews. | |
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Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
Longitudinal and trend analysis of data quality and completeness noted as reporting features. | |
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Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
Automated recommendations for quality improvement and pattern-driven insights provided through analytics. | |
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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. |
API connectivity (RESTful and other standards) confirmed as a key integration feature. | |
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Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
Product provides a set of pre-built connectors for market data, pricing, fund admin and regulatory feeds. | |
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File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
File format support includes CSV, XML, JSON, Excel – detailed in integration documentation. | |
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Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
Automated import/export, including scheduled and event-driven processes, is 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. |
Event-driven notifications/webhooks for quality exceptions are referenced in API documentation. | |
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Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
Authentication protocol flexibility (e.g., SAML, LDAP, OAuth) included as security/integration standards. | |
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Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
Integration health monitoring described as part of the platform's operational toolset. | |
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Bi-Directional Data Flow Allows both reading from and writing to external sources. |
System supports reading from/writing to external sources (bi-directional data flows). |
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 for scalable performance referenced (cloud and on-premise deployments). | |
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Elastic Scaling Dynamically allocates resources based on system load. |
Elastic scaling available in public cloud deployment options. | |
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High Availability Ensures system is available and operational with minimal downtime. |
High availability is a highlighted feature for mission-critical data environments. | |
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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. |
Supports scalable cloud deployment both public and private. |
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. |
Data at rest encryption is described in security section of the platform. | |
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Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
Encryption in transit (TLS etc.) for data exchanges confirmed in security documentation. | |
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Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
MFA available as an option for system/user access. | |
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Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
System undergoes regular security vulnerability scans. | |
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Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
Real-time intrusion detection and monitoring included for compliance and operational security. | |
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Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
Granular access and user permissioning is documented and critical for financial data systems. | |
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Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
Automated alerts for detected or suspected data breaches referenced in documentation for GDPR. | |
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GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
GDPR/CCPA and major global regulatory support outlined in privacy/governance features. | |
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Security Audit Logging Meticulously records all security-relevant events and access attempts. |
Security event and audit logs are systematically recorded. |
User Experience & Usability
(5 Yes /5 Known /8 Possible features)
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Modern Web UI Presents a responsive, easy-to-navigate web interface. |
Modern, web-based and responsive UI is shown in product videos and documentation. | |
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Role-Based Dashboards Customizes interface and workflows based on user role. |
User dashboards and interface based on roles and business function are offered in the product. | |
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Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
Self-service functions for running quality checks and audits are available to business users. | |
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Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
No information available | |
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Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
Mobile access for alerts, dashboards and workflow described among accessibility and usability features. | |
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Workflow Customization Allows drag-and-drop or configurable business workflow design. |
Configurable workflow for business processes, including custom workflow design support, is mentioned. | |
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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
(8 Yes /8 Known /8 Possible features)
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Task Assignment & Tracking Assigns data governance or quality tasks to specific users and tracks completion. |
Task assignment and completion tracking within governance and quality workflows described. | |
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In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
In-app notifications and messaging for data issues are referenced under operational features. | |
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Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
Collaborative issue resolution, including joint work on exceptions, forms part of workflow functionality. | |
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Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
Transparent audit trail/activity logs including user actions available for all governance-related processes. | |
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Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
Workflow automation supported for review, approval, and escalation steps. | |
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Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
Commenting and user notes on records supported as part of data review and governance. | |
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Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
Configurable multi-level approval chains available for governance and significant data changes. | |
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Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
Workflow analytics for identifying inefficiency or bottlenecks are discussed in workflow documentation. |
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 action and event audit logging provided as part of platform's core audit capabilities. | |
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Change Log Detail Captures before/after values for all governed data changes. |
Change logs with before/after state included for governance data and audit requirements. | |
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Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
Compliance and regulatory reporting automation is a major selling point. | |
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Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
Templates for major regulatory frameworks provided or supported. | |
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Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
Integration with external audit and compliance tools supported via APIs and export. | |
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Configurable Retention of Audit Data Allows custom specification of how long to store audit trails, by data type or jurisdiction. |
Audit data retention is configurable for jurisdiction and company requirements. | |
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Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
Advanced querying for audit across time, user, or event is supported. | |
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Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
Compliance checklists automated as part of governance/audit workflows. | |
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User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
No information available |
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