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Comprehensive market and reference data management platform designed for fund managers. Provides data validation, cleansing, and distribution capabilities. Features include configurable business rules, workflow automation, and extensive API connectivity for integration with trading systems.
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.). |
Described as offering data aggregation and integration; documented API connectivity and market feed ingestion. | |
Real-time data ingestion Supports real-time streaming ingestion of data feeds. |
Prime provides real-time data acquisition and distribution for trading and risk systems. | |
Historical data import Capability to load and process historical datasets. |
Platform advertises loading and reconciliation of historical datasets for validation and compliance. | |
Automated feed scheduling Automatic scheduling and orchestration of data imports. |
Documentation states support for automated scheduling and orchestration of data feed imports. | |
Latency Average time between data publication and ingestion. |
No information available | |
Concurrent sources supported Maximum number of data sources that can be ingested simultaneously. |
No information available | |
Custom feed handler Support for custom or user-defined data feed integration. |
Extensive integration flexibly supports custom/user-defined feed handlers per solution brief. | |
Vendor API compatibility Supports major market data vendor APIs (Bloomberg, Refinitiv, ICE, etc.). |
Integration with vendor APIs like Bloomberg, Refinitiv is a documented feature. | |
Intraday updates Capability to acquire and process intraday or tick-level data. |
Describes intraday and tick-level data ingestion for fund managers. | |
File and message protocol support Handles protocols such as FIX, SFTP, API, and others. |
Protocol support (FIX, SFTP, API, etc.) is explicitly mentioned for Prime integration. | |
Retry mechanisms Automated retry and failover during feed interruptions. |
Automated retry/failover processes are referenced as part of the resilient data feed process. | |
Data coverage breadth Number of distinct data asset classes supported. |
No information available |
Data normalization Automated standardization of source data into a consistent format. |
Automated normalization is cited in Alveo’s data management workflow. | |
Data mapping Maps vendor or source fields to internal data models. |
Data mapping from vendor formats to internal schemas is highlighted as a core capability. | |
Cross-referencing Cross-linking between identifiers (RIC, ISIN, SEDOL, CUSIP, etc.). |
Identifier cross-referencing (e.g., RIC, ISIN, SEDOL) is mentioned for entity management. | |
Identifier management Tracks and manages multiple security identifiers. |
Identifier management system referenced—tracks and manages multiple security identifiers. | |
Data enrichment Augmenting records with additional metadata from internal or third-party sources. |
Enrichment features via metadata augmentations from internal/external sources are supported. | |
Derived values calculation Calculation of derived metrics such as VWAP, moving averages. |
Derivation of calculated fields (VWAP, moving averages) is a feature within Prime’s data processing tools. | |
Business rule engine Configurable rules for custom transformations and enrichment. |
Configurable business rule engine is referenced as a major differentiator. | |
Processing speed Rate at which data records can be processed. |
No information available | |
Batch processing support Handles scheduled or on-demand batch jobs for data transformation. |
Scheduled and on-demand batch transformations are described in solution documentation. | |
Corporate actions adjustment Processes events like dividends, splits, and applies them to security data. |
Handles events such as dividends, splits, and integrates these into reference data. | |
Data lineage tracking Tracks the origins and transformation steps for each data element. |
Data lineage tracking is a promoted compliance feature. | |
Benchmark enrichment Integration of benchmark indices for comparison or analytics. |
Benchmarks for analytics/enrichment are integrated into data sets according to product details. |
Outlier detection Automated checks to identify out-of-range or anomalous values. |
Prime advertises automated anomaly and outlier detection as part of its data quality assurance. | |
Completeness checks Verification that all required data fields are populated. |
Automated completeness checking (required field validation) is highlighted. | |
Data accuracy scoring Assigns data quality scores based on predefined rules. |
Assigns and tracks data accuracy/quality—used for data stewardship. | |
Range validation Validates that data falls within expected parameters. |
Range/threshold validations included in validation rules configuration. | |
Data consistency checks Ensures that data is internally consistent across time and sources. |
Flags and cross-validates for inconsistencies across sources and over time. | |
Duplicate detection and resolution Identifies and merges or removes duplicate entries. |
Duplicate identification and removal is a data quality feature in Prime. | |
Exception management workflow Manages data issues and exceptions with audit trails. |
Exception management workflow for validation failures is described in documentation. | |
Alerts and notifications Automatic notifications on validation failures or data anomalies. |
Automatic alerts/notifications on data anomalies described in multiple Prime presentations. | |
Repair tools Manual and automated tools for correcting data errors. |
Manual/automated repair tools are part of the platform’s self-service data management. | |
Validation rule configurability Ability to define and maintain custom validation rules. |
Prime offers rule configurability for custom validation rules as a core attribute. | |
Audit logs of validations Maintain a full history of validation actions and outcomes. |
Comprehensive validation audit logs are in the compliance feature set. | |
Vendor data comparison Cross-checks data from multiple vendors/sources for discrepancies. |
Vendor data reconciliation and cross-vendor checks are supported. |
Real-time data publishing Sends updates to consumers as soon as new data arrives. |
Real-time data dissemination to consumers is highlighted. | |
Scheduled batch data delivery Supports timed or event-triggered distribution. |
Supports scheduled/batch delivery for downstream ingestion. | |
API access Availability of RESTful or other programmatic interfaces. |
Prime offers both REST and other API access for integration. | |
File export Exports to standard file formats (CSV, Excel, XML, JSON). |
Exports to standard file formats is specifically referenced. | |
Message queue integration Delivers data via messaging systems (Kafka, MQ, etc.). |
Prime advertises message queue (Kafka/MQ/etc.) integration as part of delivery options. | |
User-defined delivery channels Support for custom or client-specified distribution mechanisms. |
Product documentation notes user-defined/custom delivery mechanisms. | |
Consumer permissions management Controls which users/applications receive which data. |
Permissioning logic for consumer/role-based delivery is detailed in solution briefs. | |
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. |
Integration endpoints include trading, analytics, and risk/reporting platforms. | |
Notifications on data delivery Alerts stakeholders when data is delivered or when delivery fails. |
Stakeholder alerts for successful or failed data deliveries are within platform monitoring. | |
Bulk download support Ability to download large datasets on demand. |
Supports on-demand bulk data download, according to technical literature. | |
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. |
Role-based access controls for data and administration mentioned under security features. | |
Audit trail Comprehensive logging of all user and system actions for compliance. |
Comprehensive audit trail/logging available for compliance objectives. | |
Encryption in transit Secures data as it moves across networks. |
Encryption of data in transit (TLS, etc.) is stated in Prime’s secure data documentation. | |
Encryption at rest Stores data in encrypted format on disk. |
Data at rest is encrypted according to published security & platform documentation. | |
Data masking Redacts sensitive fields from unauthorized users. |
Redaction and masking of sensitive fields is included for regulatory compliance. | |
Compliance reporting Automated generation of reports for regulatory purposes. |
Compliance and regulatory reporting are featured capabilities. | |
Data retention management Configurable policies for data storage and deletion. |
Data retention and deletion rules are configurable in the platform. | |
GDPR/CCPA compliance features Functions to support privacy obligations and subject requests. |
Prime’s privacy framework includes GDPR/CCPA support functions. | |
Vendor access controls Restricts and audits external vendor access to systems and data. |
Vendor/external access controls are cited as standard for Prime implementations. | |
Third-party security certifications Holds certifications such as ISO 27001, SOC 2, etc. |
No information available | |
Secure API gateway Protects and monitors all API accesses. |
API access is secured and monitored by a gateway according to public documentation. | |
Penetration tests frequency Number of penetration/security tests performed per year. |
No information available |
User management dashboard Admin interface for adding, removing, and managing users. |
Prime includes an administrative dashboard for user provisioning and control. | |
Configuration management User-friendly tools for configuring data sources, rules, and outputs. |
Comprehensive system/component configuration is manageable via user interface. | |
Customizable dashboards Interactive dashboards for monitoring data flows and system health. |
Dashboards are customizable for monitoring operations and system health. | |
Self-service data access Allows users to query and retrieve data without IT intervention. |
Self-service retrieval and querying of data for users is a promoted feature. | |
Workflow automation Tools for automating operational processes. |
Workflow automation is part of the solution, focusing on operations and onboarding. | |
Multi-language support User interface available in multiple languages. |
No information available | |
Onboarding tools Guides and tools for fast setup of new data sources or users. |
Offers onboarding tools and wizards for rapid source/user setup. | |
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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