at Financial Technnology Year
Please contact them if you have any questions.
Ataccama ONE from Ataccama
An AI-powered data quality and master data management platform that helps fund managers validate, cleanse, and enrich their data. Features include data profiling, standardization, deduplication, and ongoing monitoring to ensure investment and client data meets regulatory requirements.
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
More Data Management ...
Data Quality Monitoring
(9 Yes /9 Known /12 Possible features)
|
Automated Data Validation Runs predefined validation rules to identify errors or inconsistencies in imported or generated data. |
Marketing materials and documentation describe predefined validation rules as part of Ataccama ONE's core functionality for data validation. | |
|
Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
The platform provides dashboards to monitor data quality metrics in real time as a standard feature. | |
|
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. |
Deduplication is explicitly listed as a feature, and duplicate alerts are supported. | |
|
Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
Documentation notes data consistency checks with cross-referencing of records and values as part of core functionality. | |
|
Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
Anomaly detection is included, leveraging AI/ML capabilities for recognizing irregularities and potential fraud. | |
|
Outlier Identification Flags data points that differ significantly from established patterns or averages. |
The product highlights the ability to find and flag outliers in data sets. | |
|
Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
Custom metrics for data quality assessment can be defined by the user; customization is a key platform selling point. | |
|
Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
Data profiling is a widely advertised function, with support for statistics and characterization. | |
|
Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
Automated monitoring and alerts for quality thresholds are included, tied into the platform's notification system. | |
|
Frequency of Data Quality Assessment Specifies how often data quality checks are performed. |
No information available |
Validation & Exception Handling
(9 Yes /9 Known /11 Possible features)
|
Custom Validation Rule Engine Supports the creation of tailored validation rules for different data entities and workflows. |
Supports design of custom validation rule workflows for different entities and processes. | |
|
Rule Library Includes a library of standard financial and regulatory data validation rules. |
Includes a standard library of validation rules for common financial and regulatory data. | |
|
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. |
Exception management is built in, with batch exception capture and bulk resolution. | |
|
Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
Platform supports routing of exceptions to owners/stewards for review based on rules. | |
|
Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
Audit trails include exception handling, recording all actions on exceptions. | |
|
Automated Exception Resolution Suggestions Recommends possible fixes for certain event types based on historical data. |
AI-driven recommendations for exception resolution are a documented use of ML in the platform. | |
|
SLA Tracking for Exception Resolution Monitors and reports adherence to service-level agreements for resolving exceptions. |
SLA and resolution time tracking is supported within exception management workflows. | |
|
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 for resolving exceptions are part of the governance workflow features. | |
|
Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
Classification of exception severity for prioritization and reporting is included. |
Data Lineage & Traceability
(9 Yes /9 Known /10 Possible features)
|
End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
Offers end-to-end lineage mapping, allowing users to visualize the flow from ingestion to report. | |
|
Field-Level Lineage Tracking Captures lineage at the individual data element level. |
Field-level lineage tracking is supported as part of the data lineage module. | |
|
Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
Full transformation log (all intermediary steps) is maintained for traceability. | |
|
Source System Documentation Catalogues originating systems for all ingested data points. |
Source systems for each data point are cataloged and documented. | |
|
Version History Maintains records of data versions and changes over time. |
Maintains versions and change histories of data for audit and rollback purposes. | |
|
Lineage Query Functionality Allows users to query lineage information by data field or process. |
Lineage querying by field, record, or process is implemented in the product's lineage viewer. | |
|
Lineage Reporting Export Exports lineage maps and details in standard report formats. |
Lineage reports can be exported to standard formats for audit purposes. | |
|
Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
Interdependency analysis between data and processes is an included feature in the governance module. | |
|
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. |
Change impact analysis is available to assess downstream/upstream effects. |
Data Governance & Policy Management
(10 Yes /10 Known /10 Possible features)
|
Policy Definition Engine Enables creation and enforcement of custom data policies at field, entity, and process levels. |
Supports policy definition and enforcement, fully integrated. | |
|
Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
Data stewardship assignment and workflows are included for ownership clarity. | |
|
Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
RBAC is an essential aspect of Ataccama's user/security model. | |
|
Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
Automated governance and compliance checks are among platform capabilities. | |
|
Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
Data retention and destruction windows can be scheduled by administrators. | |
|
Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
Platform supports classification by sensitivity, privacy, and regulation. | |
|
Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
Data masking for confidentiality in different environments is available. | |
|
PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
Tracking PII and confidential data with relevant controls for compliance is documented. | |
|
Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
Governance approvals for changes and requests can be automated within the workflow engine. | |
|
Policy Applicability Audit Logs Maintains logs of which data records or events were governed by which policies at all times. |
Policy applicability logs are part of the audit and compliance system. |
Reporting & Analytics
(8 Yes /8 Known /9 Possible features)
|
Pre-Built Data Quality Reports Includes standard reports on completeness, accuracy, timeliness, and other core metrics. |
Includes pre-built data quality reports with standard and custom metrics. | |
|
Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
Custom report and dashboard builder is highlighted as a differentiator for users. | |
|
Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
Reports can be exported to various formats including Excel, PDF, CSV, and BI tools. | |
|
Report Scheduling Automates report generation and delivery on a scheduled basis. |
Automated scheduling of reports is possible through workflow and scheduling modules. | |
|
KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
Monitoring, alerting and tracking of customizable KPIs are supported. | |
|
Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
Visualization tools such as graphs and heatmaps are part of dashboard capabilities. | |
|
Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
Tracks and visualizes quality trends over time for process improvement. | |
|
Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
AI-powered insights and recommendations are provided for quality and governance improvements. | |
|
Trend Analysis Report Frequency Specifies how frequently system can generate trending analytics. |
No information available |
Integration & Interoperability
(8 Yes /8 Known /9 Possible features)
|
API Connectivity Supports inbound and outbound data exchange using REST, SOAP, or other standard APIs. |
The platform supports both inbound and outbound API connectivity for system integration. | |
|
Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
Includes pre-built connectors for popular fund administration, trading, and regulatory platforms. | |
|
File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
Supports import/export for multiple data formats: CSV, JSON, XML, Excel, etc. | |
|
Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
Automated and scheduled data import/export tasks are standard. | |
|
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-based notifications for integration with external systems are available. | |
|
Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
Supports multiple authentication protocols (OAuth, SAML, LDAP, etc.) for secure integration. | |
|
Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
Monitors integration health and alerts on failures and performance issues. | |
|
Bi-Directional Data Flow Allows both reading from and writing to external sources. |
Bi-directional data flow is promoted as a feature for system interoperability. |
Scalability & Performance
(4 Yes /4 Known /9 Possible features)
|
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. |
Supports load balancing across clustered/distributed deployment. | |
|
Elastic Scaling Dynamically allocates resources based on system load. |
Elastic cloud resource allocation is noted for cloud deployments. | |
|
High Availability Ensures system is available and operational with minimal downtime. |
High availability is a supported deployment mode. | |
|
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. |
Deployment on scalable cloud infrastructure (public/private) is available. |
Security & Privacy
(9 Yes /9 Known /9 Possible features)
|
Data Encryption At Rest Uses strong encryption to secure data stored in databases, file systems, or backups. |
Data at rest is secured by strong encryption using industry standards. | |
|
Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
Data in transit is encrypted (TLS/SSL) between all components and clients. | |
|
Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
Multi-factor authentication is supported for user access. | |
|
Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
Vulnerability scans are recommended by the vendor as best practice in secure deployments. | |
|
Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
Actively monitors for unauthorized or abnormal activity with alerting. | |
|
Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
Granular access control policies by user, group and record are available. | |
|
Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
Automated alerting on suspected data breach or anomaly as part of security monitoring. | |
|
GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
GDPR and CCPA support are included through technical and documentation capabilities. | |
|
Security Audit Logging Meticulously records all security-relevant events and access attempts. |
Comprehensive security event and access logging is included for audit purposes. |
User Experience & Usability
(8 Yes /8 Known /8 Possible features)
|
Modern Web UI Presents a responsive, easy-to-navigate web interface. |
Modern, responsive web UI is a design focus for Ataccama ONE. | |
|
Role-Based Dashboards Customizes interface and workflows based on user role. |
Role-based dashboards providing customized UI/UX are supported. | |
|
Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
Self-service audit and quality tools are emphasized for non-IT users. | |
|
Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
Inline help, tool-tips, and embedded documentation are integrated to guide users. | |
|
Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
Mobile accessibility for monitoring and workflow is available via web and native apps. | |
|
Workflow Customization Allows drag-and-drop or configurable business workflow design. |
Workflow designer supports custom workflow mapping and drag-and-drop configuration. | |
|
Localization & Language Support Available in multiple languages to serve global teams. |
Multiple language and localization support is documented as a global product feature. | |
|
Accessibility Compliance Meets standards (such as WCAG) for accessibility to all users. |
Accessibility for users with disabilities is supported (WCAG and similar standards). |
Collaboration & Workflow
(8 Yes /8 Known /8 Possible features)
|
Task Assignment & Tracking Assigns data governance or quality tasks to specific users and tracks completion. |
Tasks can be created, assigned, and tracked for governance and data quality. | |
|
In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
In-app notifications and communications for collaboration and workflow are provided. | |
|
Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
Multiple users can collaborate on data issues and exception resolution. | |
|
Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
Audit trail and activity feeds for user actions support transparency and accountability. | |
|
Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
Workflow automation for task, review, and escalation is supported in the platform. | |
|
Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
Users can add comments/notes to specific data records for context and resolution tracking. | |
|
Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
Approval chains for governance/data changes can be set up and customized. | |
|
Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
Workflow analytics, including bottleneck reports and SLA adherence, are featured in analytics. |
Audit & Compliance
(9 Yes /9 Known /9 Possible features)
|
Comprehensive Audit Logging Systematically records all user actions, changes, and governance events. |
Comprehensive audit logging covers user activity, system changes, and data events. | |
|
Change Log Detail Captures before/after values for all governed data changes. |
Change logs provide before/after state for all governed changes. | |
|
Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
Automated reports for compliance documentation and evidence packs are part of the offering. | |
|
Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
Templates for major regulatory frameworks are provided. | |
|
Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
Supports integration/API connectivity to external audit and compliance tools. | |
|
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 within the system. | |
|
Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
Query interface for audit logs with advanced searching is included. | |
|
Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
Compliance checklist automation is part of compliance and audit modules. | |
|
User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
User signoff workflows for certifications are available and can be configured. |
This data was generated by an AI system. Please check
with the supplier. More here
While you are talking to them, please let them know that they need to update their entry.