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Enterprise data management platform specifically designed for financial institutions. Provides capabilities for managing security master, pricing data, corporate actions, and ESG data. Features include data quality tools, workflow automation, audit trails, and regulatory reporting support.
Systems that acquire, process, validate, and distribute market data from various sources, including pricing information, reference data, corporate actions, and benchmarks across the organization.
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Multi-source connectivity Ability to connect to multiple data sources (exchanges, vendors, etc.). |
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Real-time data ingestion Supports real-time streaming ingestion of data feeds. |
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Historical data import Capability to load and process historical datasets. |
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Automated feed scheduling Automatic scheduling and orchestration of data imports. |
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Latency Average time between data publication and ingestion. |
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Concurrent sources supported Maximum number of data sources that can be ingested simultaneously. |
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Custom feed handler Support for custom or user-defined data feed integration. |
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Vendor API compatibility Supports major market data vendor APIs (Bloomberg, Refinitiv, ICE, etc.). |
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Intraday updates Capability to acquire and process intraday or tick-level data. |
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File and message protocol support Handles protocols such as FIX, SFTP, API, and others. |
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Retry mechanisms Automated retry and failover during feed interruptions. |
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Data coverage breadth Number of distinct data asset classes supported. |
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Data normalization Automated standardization of source data into a consistent format. |
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Data mapping Maps vendor or source fields to internal data models. |
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Cross-referencing Cross-linking between identifiers (RIC, ISIN, SEDOL, CUSIP, etc.). |
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Identifier management Tracks and manages multiple security identifiers. |
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Data enrichment Augmenting records with additional metadata from internal or third-party sources. |
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Derived values calculation Calculation of derived metrics such as VWAP, moving averages. |
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Business rule engine Configurable rules for custom transformations and enrichment. |
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Processing speed Rate at which data records can be processed. |
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Batch processing support Handles scheduled or on-demand batch jobs for data transformation. |
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Corporate actions adjustment Processes events like dividends, splits, and applies them to security data. |
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Data lineage tracking Tracks the origins and transformation steps for each data element. |
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Benchmark enrichment Integration of benchmark indices for comparison or analytics. |
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Outlier detection Automated checks to identify out-of-range or anomalous values. |
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Completeness checks Verification that all required data fields are populated. |
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Data accuracy scoring Assigns data quality scores based on predefined rules. |
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Range validation Validates that data falls within expected parameters. |
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Data consistency checks Ensures that data is internally consistent across time and sources. |
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Duplicate detection and resolution Identifies and merges or removes duplicate entries. |
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Exception management workflow Manages data issues and exceptions with audit trails. |
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Alerts and notifications Automatic notifications on validation failures or data anomalies. |
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Repair tools Manual and automated tools for correcting data errors. |
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Validation rule configurability Ability to define and maintain custom validation rules. |
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Audit logs of validations Maintain a full history of validation actions and outcomes. |
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Vendor data comparison Cross-checks data from multiple vendors/sources for discrepancies. |
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Real-time data publishing Sends updates to consumers as soon as new data arrives. |
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Scheduled batch data delivery Supports timed or event-triggered distribution. |
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API access Availability of RESTful or other programmatic interfaces. |
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File export Exports to standard file formats (CSV, Excel, XML, JSON). |
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Message queue integration Delivers data via messaging systems (Kafka, MQ, etc.). |
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User-defined delivery channels Support for custom or client-specified distribution mechanisms. |
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Consumer permissions management Controls which users/applications receive which data. |
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Latency to delivery Time taken from data validation to downstream delivery. |
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Downstream system integration Supports integration with trade platforms, analytics, risk, and reporting systems. |
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Notifications on data delivery Alerts stakeholders when data is delivered or when delivery fails. |
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Bulk download support Ability to download large datasets on demand. |
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Output data volume Maximum data that can be distributed within a given period. |
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Role-based access control (RBAC) Granular user and system permissions. |
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Audit trail Comprehensive logging of all user and system actions for compliance. |
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Encryption in transit Secures data as it moves across networks. |
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Encryption at rest Stores data in encrypted format on disk. |
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Data masking Redacts sensitive fields from unauthorized users. |
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Compliance reporting Automated generation of reports for regulatory purposes. |
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Data retention management Configurable policies for data storage and deletion. |
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GDPR/CCPA compliance features Functions to support privacy obligations and subject requests. |
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Vendor access controls Restricts and audits external vendor access to systems and data. |
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Third-party security certifications Holds certifications such as ISO 27001, SOC 2, etc. |
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Secure API gateway Protects and monitors all API accesses. |
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Penetration tests frequency Number of penetration/security tests performed per year. |
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User management dashboard Admin interface for adding, removing, and managing users. |
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Configuration management User-friendly tools for configuring data sources, rules, and outputs. |
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Customizable dashboards Interactive dashboards for monitoring data flows and system health. |
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Self-service data access Allows users to query and retrieve data without IT intervention. |
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Workflow automation Tools for automating operational processes. |
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Multi-language support User interface available in multiple languages. |
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Onboarding tools Guides and tools for fast setup of new data sources or users. |
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Custom reporting Users can create ad hoc or scheduled reports. |
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Help and documentation Comprehensive user guides, APIs, and support documentation. |
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Change tracking Logs and highlights system setting changes. |
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User roles supported Number of customizable user roles/groups. |
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Horizontal scalability Supports scaling by adding more servers or nodes. |
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High availability Built-in redundancy and failover for continuous operation. |
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Cloud-native deployment Supports cloud and hybrid deployments. |
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Elastic resource allocation Resources scale automatically with demand. |
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Maximum throughput Peak volume of data that can be processed per unit time. |
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Supported concurrent users Maximum number of simultaneous users. |
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Disaster recovery Integrated disaster recovery and rapid restore features. |
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Load balancing Automatic distribution of workload across resources. |
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Data partitioning Splits data for scalable storage and processing. |
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Minimum supported response time Fastest guaranteed response for a standard query. |
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Rolling upgrades Enables upgrades without downtime. |
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Edge deployment support Deployable close to data sources for ultra-low-latency. |
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License enforcement Monitors and enforces contractual data usage limits. |
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Data vendor entitlement management Controls access to data assets as per vendor contracts. |
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Usage analytics Tracks how and by whom data is consumed. |
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Cost allocation tools Allocates and reports data costs by user, team, or business unit. |
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Contract management Stores, tracks, and alerts on market data contracts. |
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Data usage dashboard Visualizes consumption to optimize vendor spend. |
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Automated entitlements provisioning Automates granting and revoking of data rights. |
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Audit of vendor usage Auditable trails of all vendor data accesses. |
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Inbound/outbound data usage limits Maximum data volumes allowed by licensing contracts. |
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Excess usage alerts Notifications when data access exceeds contractual entitlements. |
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Flexible entitlement models Supports complex licensing structures (by asset class, geography, user type, etc.). |
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License exception handling Processes permissions for exceptional or urgent access needs. |
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Feed health monitoring Continuous monitoring of inbound/outbound data feeds for up/down states. |
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Application performance monitoring Monitors resource usage, latency, and system responsiveness. |
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Custom alert configuration Allows users to set specific alerting conditions. |
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Alert notification channels Supports email, SMS, dashboard pop-ups, etc. |
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Incident tracking integration Integrates with ticketing/incident systems (ServiceNow, Jira, etc.). |
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Downtime tracking Measures and logs system or feed outages. |
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SLA monitoring Checks if platform performance meets service-level agreements. |
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Event log retention Length of time logs and metrics are stored. |
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Proactive anomaly detection AI/ML-driven detection of unexpected system behaviors. |
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User activity monitoring Tracks user-level activity for security and compliance. |
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Dashboard visualization of alerts Consolidated view of all operational metrics and alerts. |
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Escalation workflow for critical alerts Automated escalation process for unresolved incidents. |
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Multi-identifier support Manages various instrument and counterparty identifiers (ISIN, LEI, SEDOL, etc.). |
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Entity relationship mapping Captures relationships between entities (issuer, parent, subsidiary, etc.). |
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Corporate actions feed integration Integrates with standardized action feeds from vendors and custodians. |
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Corporate action event validation Validates and confirms authenticity of announced events. |
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Event impact calculation Determines the effect of actions (splits, mergers, etc.) on security data. |
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Audit history of changes Maintains a trail of changes to reference data and corporate action processing. |
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Golden copy management Maintains a single validated version of key reference data. |
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Exception workflow for action events Routes problematic events for manual review or escalation. |
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Cross-asset class reference data Supports all asset types: equities, fixed income, derivatives, etc. |
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Automated data refresh frequency Frequency at which reference data is automatically refreshed. |
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Source reconciliation Cross-verifies reference data from multiple sources. |
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Orphaned record detection Identifies reference data without supporting records (for deprecation/removal). |
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Standard report library Pre-built reports for common market data, quality, and usage metrics. |
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Custom report builder Create, schedule, and distribute custom reports. |
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Data lineage analysis Visualize the data’s journey from source through transformation to consumer. |
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Audit and compliance reporting Dedicated reports for compliance review and audits. |
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Usage statistics dashboard Interactive dashboard for visualizing consumption, errors, and bottlenecks. |
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Drill-down analytics Enables detailed exploration of underlying datasets. |
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Time series analytics Analyzes trends and patterns in price or reference data over time. |
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Export to BI tools Integration with popular business intelligence platforms. |
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Scheduled report delivery Automated report generation and emailing. |
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Ad hoc query support On-demand querying and analysis of market or reference data. |
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Large dataset reporting performance Maximum data volume supported for interactive reporting. |
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Custom visualization tools Built-in tools for data charting and visualization. |
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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. |
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Real-Time Data Quality Dashboard Provides a live, visual overview of data quality metrics such as error rates and completeness. |
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Error Rate Tracks the percentage of data records containing validation errors. |
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Completeness Score Measures how many of the required data fields are populated and valid. |
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Duplicate Detection Identifies and alerts on instances of duplicate data records. |
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Data Consistency Checks Ensures internal data consistency by cross-verifying related fields or records. |
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Anomaly Detection Detects unusual patterns in data that might indicate errors or fraud. |
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Outlier Identification Flags data points that differ significantly from established patterns or averages. |
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Customizable Quality Metrics Allows users to define and track bespoke data quality metrics. |
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Data Profiling Generates summaries, statistics, and key characteristics about datasets to inform quality improvement. |
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Automated Notifications Sends alerts to users or administrators when data quality thresholds are breached. |
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Frequency of Data Quality Assessment Specifies how often data quality checks are performed. |
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Custom Validation Rule Engine Supports the creation of tailored validation rules for different data entities and workflows. |
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Rule Library Includes a library of standard financial and regulatory data validation rules. |
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Rule Complexity Support Maximum number of conditions per validation rule. |
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Bulk Exception Capture Identifies and logs groups of related exceptions in a single batch process. |
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Exception Workflow Routing Routes exceptions to relevant personnel or teams based on predefined criteria. |
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Audit Trail for Exceptions Maintains a record of exception investigations, actions taken, and outcomes. |
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Automated Exception Resolution Suggestions Recommends possible fixes for certain event types based on historical data. |
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SLA Tracking for Exception Resolution Monitors and reports adherence to service-level agreements for resolving exceptions. |
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Exception Closure Time Average time taken to close data exceptions. |
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Role-Based Exception Approval Requires specified roles or hierarchies to approve exception resolutions. |
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Exception Severity Classification Allows categorization of exceptions by criticality, informing prioritization and reporting. |
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End-to-End Lineage Visualization Displays comprehensive maps showing how data flows from source to report. |
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Field-Level Lineage Tracking Captures lineage at the individual data element level. |
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Data Transformation Logging Records all transformation steps applied to data as it moves between systems. |
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Source System Documentation Catalogues originating systems for all ingested data points. |
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Version History Maintains records of data versions and changes over time. |
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Lineage Query Functionality Allows users to query lineage information by data field or process. |
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Lineage Reporting Export Exports lineage maps and details in standard report formats. |
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Automated Data Dependency Analysis Identifies and highlights interdependencies between datasets and processes. |
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Lineage Update Frequency Frequency at which lineage maps are refreshed to reflect new data flows. |
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Change Impact Analysis Assesses downstream implications of changes in source or process. |
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Policy Definition Engine Enables creation and enforcement of custom data policies at field, entity, and process levels. |
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Data Steward Assignment Assigns ownership of specific data domains or fields to designated stewards. |
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Role-Based Access Control (RBAC) Restricts data access based on user roles and responsibilities. |
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Automated Policy Compliance Checks Monitors ongoing adherence to internal and regulatory governance requirements. |
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Data Retention Scheduling Defines automated retention and destruction windows for different types of data. |
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Data Classification Management Supports classification of data based on sensitivity, privacy, and regulatory criteria. |
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Data Masking Automatically obscures sensitive information in test, reporting, or user-specific contexts. |
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PII & Confidential Data Tracking Identifies and monitors personally identifiable and confidential data for compliance. |
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Approval Workflow Automation Automates governance approvals for policy changes, data requests, and updates. |
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Policy Applicability Audit Logs Maintains logs of which data records or events were governed by which policies at all times. |
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Pre-Built Data Quality Reports Includes standard reports on completeness, accuracy, timeliness, and other core metrics. |
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Custom Report Builder Empowers users to design bespoke reports and dashboards tailored to fund-specific needs. |
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Export to Multiple Formats Enables report exports to CSV, PDF, XLSX, and integration with BI platforms. |
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Report Scheduling Automates report generation and delivery on a scheduled basis. |
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KPI Definition & Tracking Allows organizations to create, monitor, and alert on custom KPIs related to data management. |
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Visualization Tools Provides graphical representations (charts, graphs, heat maps) for data quality and governance trends. |
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Longitudinal Analysis Tracks and displays improvement or degradation of data quality over time. |
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Automated Insights & Recommendations System-generated suggestions based on detected patterns or anomalies in quality metrics. |
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Trend Analysis Report Frequency Specifies how frequently system can generate trending analytics. |
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API Connectivity Supports inbound and outbound data exchange using REST, SOAP, or other standard APIs. |
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Connector Library Provides pre-built connectors for popular fund administration, trading, and regulatory systems. |
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File Format Support Accepts and outputs data in multiple formats (CSV, XML, JSON, Excel, etc.). |
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Automated Data Import/Export Supports unattended scheduled or trigger-driven data transfers. |
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Data Synchronization Frequency How often system syncs data with connected platforms. |
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Webhooks & Event Driven Notifications Enables instant notification to other systems when data quality events occur. |
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Authentication Protocol Flexibility Supports diverse authentication protocols for secure integration (OAuth, SAML, LDAP). |
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Integration Monitoring Monitors integration health and alerts for failures or slowdowns. |
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Bi-Directional Data Flow Allows both reading from and writing to external sources. |
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Concurrent User Support Maximum number of users who can access the system simultaneously. |
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Peak Data Volume Capacity Maximum volume of data that can be processed daily without degradation. |
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Processing Latency Average time to process and validate an individual record. |
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Load Balancing Support Automated distribution of processing workload across multiple servers. |
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Elastic Scaling Dynamically allocates resources based on system load. |
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High Availability Ensures system is available and operational with minimal downtime. |
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Disaster Recovery RPO Maximum allowable data loss in the event of a disaster (Recovery Point Objective). |
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Disaster Recovery RTO Time taken to restore system functionality after a disaster (Recovery Time Objective). |
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Scalable Cloud Deployment Supports deployment on scalable public/private cloud infrastructure. |
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Data Encryption At Rest Uses strong encryption to secure data stored in databases, file systems, or backups. |
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Data Encryption In Transit Encrypts all data transmissions between systems, users, and applications. |
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Multi-Factor Authentication (MFA) Requires additional authentication step for user access. |
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Vulnerability Scanning Regularly scans system for known security vulnerabilities. |
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Intrusion Detection & Monitoring Monitors for unexpected or unauthorized activity in real-time. |
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Granular Access Rights Grants or restricts user access at very fine levels of data and function. |
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Data Breach Notification Automation Automatically alerts stakeholders in case of suspected data breach. |
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GDPR/CCPA Support Provides controls and documentation to facilitate compliance with major privacy laws. |
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Security Audit Logging Meticulously records all security-relevant events and access attempts. |
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Modern Web UI Presents a responsive, easy-to-navigate web interface. |
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Role-Based Dashboards Customizes interface and workflows based on user role. |
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Self-Service Data Quality Tools Allows users to define validations, launch audits, and resolve issues without IT dependency. |
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Contextual Help and Guidance Inline tool-tips, documentation, and training aids. |
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Mobile Accessibility Enables core workflows and monitoring on mobile devices. |
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Workflow Customization Allows drag-and-drop or configurable business workflow design. |
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Localization & Language Support Available in multiple languages to serve global teams. |
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Accessibility Compliance Meets standards (such as WCAG) for accessibility to all users. |
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Task Assignment & Tracking Assigns data governance or quality tasks to specific users and tracks completion. |
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In-App Messaging & Notifications Enables direct communication within the platform regarding data issues and workflows. |
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Collaborative Issue Resolution Allows multiple users to work jointly on resolving complex exceptions or quality problems. |
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Activity Feed or Audit Trail Shows actions taken by all users for transparency and accountability. |
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Workflow Automation Automates process steps such as reviews, approvals, and escalation. |
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Commenting on Data Records Users can leave notes or discussion threads attached to specific data items. |
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Approval Chains Configurable multi-step approval flows for significant governance or data changes. |
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Workflow Analytics Reports on efficiency, bottlenecks, and SLA adherence of governance workflows. |
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Comprehensive Audit Logging Systematically records all user actions, changes, and governance events. |
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Change Log Detail Captures before/after values for all governed data changes. |
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Automated Compliance Reporting Generates standard compliance documents and evidence packs. |
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Regulatory Framework Templates Includes templates mapped to major regulations (e.g., SEC, ESMA, GDPR, AIFMD). |
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Integration with External Audit Tools Enables export and API connectivity to third-party audit or compliance systems. |
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Configurable Retention of Audit Data Allows custom specification of how long to store audit trails, by data type or jurisdiction. |
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Audit Query Interface Provides advanced querying of all audit records by time, user, or event. |
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Compliance Checklist Automation Runs scheduled or manual checklists to provide compliance evidence. |
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User Certification Workflows Collects necessary user signoffs and certifications on data and controls. |
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