Centralized data repository, data quality controls, validation workflows, data lineage, and governance tools. Supports all asset classes and financial instruments relevant to fund 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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Automated Data Validation Runs predefined validation rules to identify errors or inconsistencies in imported or generated data. |
Vendor documentation and product detail pages explicitly mention automated data quality controls and validation workflows. | |
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Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
NeoXam DataHub advertises real-time dashboards for data quality monitoring, as seen in marketing collateral and product screenshots. | |
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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. |
Duplicate detection and prevention are part of NeoXam’s data quality controls as stated in product overview materials. | |
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Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
Cross-field and internal consistency checks are part of NeoXam DataHub’s validation workflow system. | |
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Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
Supports anomaly detection for outliers and data quality issues based on marketing and technical documentation. | |
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Outlier Identification Flags data points that differ significantly from established patterns or averages. |
The product includes outlier identification as part of its advanced data validation and quality modules. | |
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Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
Customizable metrics and validation rules can be defined by users, according to NeoXam documentation. | |
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Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
NeoXam promotes automated data profiling in its core value proposition. | |
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Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
Automated notifications are standard when data issues are identified. Shown in UI demonstrations. | |
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Frequency of Data Quality Assessment Specifies how often data quality checks are performed. |
No information available |
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Custom Validation Rule Engine Supports the creation of tailored validation rules for different data entities and workflows. |
NeoXam DataHub enables custom business rule creation for validations. | |
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Rule Library Includes a library of standard financial and regulatory data validation rules. |
The system ships with standard financial and regulatory validation rules. | |
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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 and management is listed as a core feature in DataHub exception workflow documents. | |
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Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
Exception workflow routing is supported and described in product workflow modules. | |
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Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
Audit trail functionality covers exceptions and investigations for compliance. | |
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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. |
Role-based approval for exceptions is supported, in line with enterprise governance best practices. | |
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Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
Exception severity classification and configuration is mentioned in data workflow configuration guides. |
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End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
Data lineage, including end-to-end flows, is marketed as a differentiator for NeoXam DataHub. | |
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Field-Level Lineage Tracking Captures lineage at the individual data element level. |
Product documentation references field-level lineage capabilities. | |
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Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
Data transformation logging is part of NeoXam’s lineage and audit modules. | |
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Source System Documentation Catalogues originating systems for all ingested data points. |
System includes cataloging of source systems for all loaded data. | |
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Version History Maintains records of data versions and changes over time. |
Version history for data changes and governance auditing is provided. | |
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Lineage Query Functionality Allows users to query lineage information by data field or process. |
Users can query lineage records by field and process. | |
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Lineage Reporting Export Exports lineage maps and details in standard report formats. |
Export of lineage and audit data is possible in various formats. | |
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Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
Automated dependency mapping is referenced in solution whitepapers. | |
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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. |
Change impact analysis is a feature of the lineage/governance modules. |
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Policy Definition Engine Enables creation and enforcement of custom data policies at field, entity, and process levels. |
NeoXam DataHub allows custom policy creation and enforcement at multiple levels. | |
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Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
Product supports designating data domains and assigning stewardship. | |
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Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
Role based access control (RBAC) is listed as a foundational security feature. | |
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Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
Automated checks for internal and regulatory compliance are available, as stated in product documentation. | |
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Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
System supports automated retention/destruction schedules. | |
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Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
Classification based on sensitivity and regulatory need is part of governance tooling. | |
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Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
Data masking is described as available in product security modules. | |
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PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
PII/confidential data tagging and monitoring functionality for compliance is offered. | |
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Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
Product supports configurable approval workflows for governance. | |
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Policy Applicability Audit Logs Maintains logs of which data records or events were governed by which policies at all times. |
Audit logging includes policy applicability over time. |
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Pre-Built Data Quality Reports Includes standard reports on completeness, accuracy, timeliness, and other core metrics. |
Pre-built standard reports on data quality are included. | |
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Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
Custom report builder is referenced in user materials. | |
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Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
System supports exports to CSV, PDF, Excel, and BI platforms. | |
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Report Scheduling Automates report generation and delivery on a scheduled basis. |
Automated report scheduling is supported as per admin guides. | |
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KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
Custom KPI tracking and alerts are provided. | |
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Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
Graphical data visualization is a selling point of the DataHub UI. | |
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Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
Tracks and visualizes data quality trends over time. | |
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Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
No information available | |
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Trend Analysis Report Frequency Specifies how frequently system can generate trending analytics. |
No information available |
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API Connectivity Supports inbound and outbound data exchange using REST, SOAP, or other standard APIs. |
RESTful API connectivity is highlighted for integration. | |
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Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
Pre-built connectors are provided for common fund management and regulatory systems. | |
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File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
DataHub can ingest and output multiple data formats including CSV, XML, JSON, Excel. | |
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Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
System schedules and triggers imports and exports automatically. | |
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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 and event notifications supported for real-time integration. | |
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Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
Supports modern protocol-based authentication (OAuth, SAML, LDAP). | |
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Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
No information available | |
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Bi-Directional Data Flow Allows both reading from and writing to external sources. |
Product allows bi-directional integration for read/write capabilities. |
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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. |
NeoXam claims automated load balancing as part of its scalability feature set. | |
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Elastic Scaling Dynamically allocates resources based on system load. |
Elastic cloud scaling is mentioned in deployment options. | |
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High Availability Ensures system is available and operational with minimal downtime. |
High availability is committed as part of the hosted/managed solutions. | |
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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 public/private cloud deployment for scalability. |
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Data Encryption At Rest Uses strong encryption to secure data stored in databases, file systems, or backups. |
Data encryption at rest (AES-256 or similar) is highlighted as a compliance feature. | |
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Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
Encryption in transit (TLS/SSL) outlined in security whitepapers. | |
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Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
Multi-factor authentication is offered for administrative/user access. | |
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Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
Vulnerability monitoring and periodic scanning mentioned as part of managed services. | |
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Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
Intrusion detection and monitoring advertised in trust/security materials. | |
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Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
Fine-grained access rights configurable at user and data level. | |
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Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
No information available | |
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GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
GDPR and CCPA support and documentation are part of the compliance offering. | |
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Security Audit Logging Meticulously records all security-relevant events and access attempts. |
Audit logs of security and access operations are supported. |
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Modern Web UI Presents a responsive, easy-to-navigate web interface. |
Modern, responsive web UI is emphasized in product website/screenshots. | |
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Role-Based Dashboards Customizes interface and workflows based on user role. |
Role-based dashboards and personalization listed for user groups. | |
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Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
End users can self-serve for validations, audits, and issue management. | |
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Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
Inline help and training references are part of the DataHub UI. | |
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Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
No information available | |
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Workflow Customization Allows drag-and-drop or configurable business workflow design. |
Workflow customization options, including visual designers, are outlined in docs. | |
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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 |
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Task Assignment & Tracking Assigns data governance or quality tasks to specific users and tracks completion. |
Task assignment and tracking for quality/governance is mentioned in collaboration modules. | |
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In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
In-app notifications for key events are referenced in platform walkthroughs. | |
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Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
Collaboration features include discussion and joint work on quality issues. | |
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Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
Activity/audit feeds for transparency are a stated auditability feature. | |
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Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
NeoXam touts workflow automation for approvals, reviews, and issue escalation. | |
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Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
Users can comment and annotate specific data items to aid collaboration. | |
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Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
Configurable multi-level approval chains supported for governance. | |
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Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
Workflow analytics is referenced in solution reporting materials. |
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Comprehensive Audit Logging Systematically records all user actions, changes, and governance events. |
Comprehensive audit logging for all user/data events is present. | |
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Change Log Detail Captures before/after values for all governed data changes. |
Change logs include before/after value tracking. | |
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Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
Automated compliance and evidence reporting are part of regulatory solutions. | |
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Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
NeoXam DataHub ships with regulatory templates for key jurisdictions (e.g., SEC, ESMA, AIFMD). | |
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Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
Integrates with external audit and compliance tools via export/API. | |
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Configurable Retention of Audit Data Allows custom specification of how long to store audit trails, by data type or jurisdiction. |
Configurable retention settings for audit data supported. | |
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Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
Advanced querying of audit records available via search/filtering. | |
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Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
Supports compliance checklists for scheduled/manual execution. | |
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User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
No information available |
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