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Eagle Data Management from Eagle Investment Systems
Comprehensive data management platform that allows fund managers to consolidate, validate and deliver investment data. Includes data governance tools, exception management capabilities, and supports regulatory reporting requirements. Can be deployed in cloud, hosted, or on-premises environments.
More about Eagle Investment Systems
Product analysis by function
Market Data Management Platforms for Data Management
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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Data Acquisition
(8 Yes /8 Known /12 Possible features)
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Multi-source connectivity Ability to connect to multiple data sources (exchanges, vendors, etc.). |
Marketing materials mention multi-asset and multi-source data consolidation for investment data. | |
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Real-time data ingestion Supports real-time streaming ingestion of data feeds. |
Descriptions reference real-time data processing and feed handling capabilities. | |
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Historical data import Capability to load and process historical datasets. |
Platform supports historical investment data import for regulatory and operational reporting. | |
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Automated feed scheduling Automatic scheduling and orchestration of data imports. |
No information available | |
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Latency Average time between data publication and ingestion. |
No information available | |
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Concurrent sources supported Maximum number of data sources that can be ingested simultaneously. |
No information available | |
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Custom feed handler Support for custom or user-defined data feed integration. |
Custom feed/schema adapters are commonly listed for data management platforms like Eagle. | |
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Vendor API compatibility Supports major market data vendor APIs (Bloomberg, Refinitiv, ICE, etc.). |
Documentation mentions integrations with Bloomberg and other major market data providers. | |
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Intraday updates Capability to acquire and process intraday or tick-level data. |
Supports processing of tick- and intraday-level pricing and reference data. | |
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File and message protocol support Handles protocols such as FIX, SFTP, API, and others. |
Eagle supports a variety of standard file and messaging protocols. | |
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Retry mechanisms Automated retry and failover during feed interruptions. |
Exception and retry management are referenced as part of the data flow management. | |
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Data coverage breadth Number of distinct data asset classes supported. |
No information available |
Data Processing & Enrichment
(8 Yes /8 Known /12 Possible features)
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Data normalization Automated standardization of source data into a consistent format. |
Automated data normalization is typical for investment data platforms, supported by data governance features. | |
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Data mapping Maps vendor or source fields to internal data models. |
Data mapping between vendor/source fields and client models is a core platform capability. | |
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Cross-referencing Cross-linking between identifiers (RIC, ISIN, SEDOL, CUSIP, etc.). |
No information available | |
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Identifier management Tracks and manages multiple security identifiers. |
Identifier management for securities is explicitly mentioned among core features. | |
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Data enrichment Augmenting records with additional metadata from internal or third-party sources. |
Data enrichment from third-party and internal sources is mentioned as a value prop. | |
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Derived values calculation Calculation of derived metrics such as VWAP, moving averages. |
No information available | |
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Business rule engine Configurable rules for custom transformations and enrichment. |
Business rules engine for transformation and validation is referenced as a configuration feature. | |
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Processing speed Rate at which data records can be processed. |
No information available | |
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Batch processing support Handles scheduled or on-demand batch jobs for data transformation. |
Batch and scheduled processing is supported for data management and regulatory reporting. | |
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Corporate actions adjustment Processes events like dividends, splits, and applies them to security data. |
Corporate actions adjustments are specifically supported for investment data accuracy. | |
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Data lineage tracking Tracks the origins and transformation steps for each data element. |
Data lineage tracking is included in Eagle’s data governance toolset. | |
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Benchmark enrichment Integration of benchmark indices for comparison or analytics. |
No information available |
Data Validation & Quality Assurance
(7 Yes /7 Known /12 Possible features)
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Outlier detection Automated checks to identify out-of-range or anomalous values. |
Exception management and outlier detection are part of Eagle's data quality controls. | |
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Completeness checks Verification that all required data fields are populated. |
Completeness checks are a standard data quality control mentioned in Eagle documentation. | |
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Data accuracy scoring Assigns data quality scores based on predefined rules. |
No information available | |
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Range validation Validates that data falls within expected parameters. |
No information available | |
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Data consistency checks Ensures that data is internally consistent across time and sources. |
No information available | |
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Duplicate detection and resolution Identifies and merges or removes duplicate entries. |
Duplicate detection/elimination is mentioned in Eagle’s standard data quality workflow. | |
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Exception management workflow Manages data issues and exceptions with audit trails. |
Exception management with audit trail for manual intervention are explicitly referenced. | |
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Alerts and notifications Automatic notifications on validation failures or data anomalies. |
Alerts and notifications on exceptions or failures are part of the platform’s capabilities. | |
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Repair tools Manual and automated tools for correcting data errors. |
No information available | |
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Validation rule configurability Ability to define and maintain custom validation rules. |
The solution supports configurable data validation and business rules. | |
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Audit logs of validations Maintain a full history of validation actions and outcomes. |
Audit logs are maintained for compliance and validation tracking. | |
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Vendor data comparison Cross-checks data from multiple vendors/sources for discrepancies. |
No information available |
Data Distribution & Integration
(8 Yes /8 Known /12 Possible features)
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Real-time data publishing Sends updates to consumers as soon as new data arrives. |
Platform delivers validated data to downstream systems in real time. | |
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Scheduled batch data delivery Supports timed or event-triggered distribution. |
Supports scheduled and event-based batch data delivery for clients. | |
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API access Availability of RESTful or other programmatic interfaces. |
APIs are available for programmatic access and system integration. | |
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File export Exports to standard file formats (CSV, Excel, XML, JSON). |
Export capabilities to standard file formats are cited in documentation. | |
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Message queue integration Delivers data via messaging systems (Kafka, MQ, etc.). |
No information available | |
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User-defined delivery channels Support for custom or client-specified distribution mechanisms. |
No information available | |
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Consumer permissions management Controls which users/applications receive which data. |
Fine-grained permissions for data access are supported at user and application levels. | |
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Latency to delivery Time taken from data validation to downstream delivery. |
No information available | |
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Downstream system integration Supports integration with trade platforms, analytics, risk, and reporting systems. |
Integration with downstream systems including risk, reporting, and analytics platforms is supported. | |
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Notifications on data delivery Alerts stakeholders when data is delivered or when delivery fails. |
Delivery and failure notifications are incorporated to inform stakeholders. | |
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Bulk download support Ability to download large datasets on demand. |
Bulk downloads are a common platform function and confirmed in product sheets. | |
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Output data volume Maximum data that can be distributed within a given period. |
No information available |
Security & Compliance
(7 Yes /7 Known /12 Possible features)
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Role-based access control (RBAC) Granular user and system permissions. |
Role-based access control (RBAC) is described for user management and data access. | |
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Audit trail Comprehensive logging of all user and system actions for compliance. |
Comprehensive audit trails available for all user and system actions for compliance. | |
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Encryption in transit Secures data as it moves across networks. |
Platform supports encryption in transit as part of its security protocols. | |
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Encryption at rest Stores data in encrypted format on disk. |
Data encryption at rest (on disk) is listed as supported in security compliance documents. | |
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Data masking Redacts sensitive fields from unauthorized users. |
No information available | |
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Compliance reporting Automated generation of reports for regulatory purposes. |
Regulatory and compliance reporting is a core feature. | |
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Data retention management Configurable policies for data storage and deletion. |
No information available | |
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GDPR/CCPA compliance features Functions to support privacy obligations and subject requests. |
References to support for GDPR/CCPA and right-to-erasure/subject-request features. | |
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Vendor access controls Restricts and audits external vendor access to systems and data. |
No information available | |
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Third-party security certifications Holds certifications such as ISO 27001, SOC 2, etc. |
No information available | |
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Secure API gateway Protects and monitors all API accesses. |
APIs are protected by secure web gateways described in product security claims. | |
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Penetration tests frequency Number of penetration/security tests performed per year. |
No information available |
Administration & Usability
(8 Yes /8 Known /11 Possible features)
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User management dashboard Admin interface for adding, removing, and managing users. |
A user management dashboard is cited for administration and role management. | |
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Configuration management User-friendly tools for configuring data sources, rules, and outputs. |
Graphical configuration tools are listed for data, rules, and outputs management. | |
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Customizable dashboards Interactive dashboards for monitoring data flows and system health. |
No information available | |
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Self-service data access Allows users to query and retrieve data without IT intervention. |
Self-service data access features are included for business users and analysts. | |
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Workflow automation Tools for automating operational processes. |
Workflow automation capabilities are referenced in data onboarding and review processes. | |
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Multi-language support User interface available in multiple languages. |
No information available | |
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Onboarding tools Guides and tools for fast setup of new data sources or users. |
Onboarding tools for new users and data sources are specifically promoted. | |
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Custom reporting Users can create ad hoc or scheduled reports. |
Custom and ad hoc report generation is included. | |
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Help and documentation Comprehensive user guides, APIs, and support documentation. |
Help and documentation resources available for admins and end users. | |
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Change tracking Logs and highlights system setting changes. |
Change tracking is part of the overall audit/governance suite. | |
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User roles supported Number of customizable user roles/groups. |
No information available |
Scalability & Performance
(6 Yes /6 Known /12 Possible features)
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Horizontal scalability Supports scaling by adding more servers or nodes. |
Can be deployed in distributed mode, and documentation supports horizontal scaling claims. | |
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High availability Built-in redundancy and failover for continuous operation. |
Continuous operation/high availability is promoted as a key benefit. | |
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Cloud-native deployment Supports cloud and hybrid deployments. |
Product claims support for cloud-native, hosted, and on-premises deployment. | |
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Elastic resource allocation Resources scale automatically with demand. |
Elastic scaling is referenced for cloud deployments. | |
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Maximum throughput Peak volume of data that can be processed per unit time. |
No information available | |
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Supported concurrent users Maximum number of simultaneous users. |
No information available | |
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Disaster recovery Integrated disaster recovery and rapid restore features. |
Disaster recovery features are mentioned in system requirements and compliance checklists. | |
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Load balancing Automatic distribution of workload across resources. |
Load balancing is included where deployed in hosted/cloud mode. | |
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Data partitioning Splits data for scalable storage and processing. |
No information available | |
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Minimum supported response time Fastest guaranteed response for a standard query. |
No information available | |
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Rolling upgrades Enables upgrades without downtime. |
No information available | |
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Edge deployment support Deployable close to data sources for ultra-low-latency. |
No information available |
Vendor & Data License Management
(2 Yes /2 Known /12 Possible features)
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License enforcement Monitors and enforces contractual data usage limits. |
No information available | |
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Data vendor entitlement management Controls access to data assets as per vendor contracts. |
No information available | |
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Usage analytics Tracks how and by whom data is consumed. |
Usage analytics for data stewardship and operational dashboards are highlighted. | |
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Cost allocation tools Allocates and reports data costs by user, team, or business unit. |
No information available | |
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Contract management Stores, tracks, and alerts on market data contracts. |
No information available | |
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Data usage dashboard Visualizes consumption to optimize vendor spend. |
Data usage dashboard for operational insights is referenced. | |
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Automated entitlements provisioning Automates granting and revoking of data rights. |
No information available | |
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Audit of vendor usage Auditable trails of all vendor data accesses. |
No information available | |
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Inbound/outbound data usage limits Maximum data volumes allowed by licensing contracts. |
No information available | |
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Excess usage alerts Notifications when data access exceeds contractual entitlements. |
No information available | |
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Flexible entitlement models Supports complex licensing structures (by asset class, geography, user type, etc.). |
No information available | |
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License exception handling Processes permissions for exceptional or urgent access needs. |
No information available |
Monitoring & Alerting
(4 Yes /4 Known /12 Possible features)
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Feed health monitoring Continuous monitoring of inbound/outbound data feeds for up/down states. |
Feed health monitoring is mentioned as part of platform’s operational controls. | |
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Application performance monitoring Monitors resource usage, latency, and system responsiveness. |
Application-level monitoring for performance is referenced in admin console materials. | |
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Custom alert configuration Allows users to set specific alerting conditions. |
No information available | |
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Alert notification channels Supports email, SMS, dashboard pop-ups, etc. |
No information available | |
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Incident tracking integration Integrates with ticketing/incident systems (ServiceNow, Jira, etc.). |
No information available | |
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Downtime tracking Measures and logs system or feed outages. |
No information available | |
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SLA monitoring Checks if platform performance meets service-level agreements. |
No information available | |
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Event log retention Length of time logs and metrics are stored. |
No information available | |
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Proactive anomaly detection AI/ML-driven detection of unexpected system behaviors. |
No information available | |
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User activity monitoring Tracks user-level activity for security and compliance. |
User activity can be monitored and audited according to regulatory and operational documentation. | |
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Dashboard visualization of alerts Consolidated view of all operational metrics and alerts. |
Dashboards are available for alert visualization and system health. | |
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Escalation workflow for critical alerts Automated escalation process for unresolved incidents. |
No information available |
Reference Data & Corporate Actions
(7 Yes /7 Known /12 Possible features)
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Multi-identifier support Manages various instrument and counterparty identifiers (ISIN, LEI, SEDOL, etc.). |
Multi-identifier mapping for instruments and entities is supported. | |
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Entity relationship mapping Captures relationships between entities (issuer, parent, subsidiary, etc.). |
Entity relationship and hierarchy management are discussed for referential integrity. | |
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Corporate actions feed integration Integrates with standardized action feeds from vendors and custodians. |
Integrates with standard corporate action feed providers and custodians. | |
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Corporate action event validation Validates and confirms authenticity of announced events. |
Corporate action event validation and workflow management highlighted. | |
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Event impact calculation Determines the effect of actions (splits, mergers, etc.) on security data. |
No information available | |
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Audit history of changes Maintains a trail of changes to reference data and corporate action processing. |
No information available | |
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Golden copy management Maintains a single validated version of key reference data. |
Golden copy/reference data management features are part of core offering. | |
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Exception workflow for action events Routes problematic events for manual review or escalation. |
No information available | |
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Cross-asset class reference data Supports all asset types: equities, fixed income, derivatives, etc. |
Cross-asset reference data features are documented (equities, fixed income, etc). | |
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Automated data refresh frequency Frequency at which reference data is automatically refreshed. |
No information available | |
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Source reconciliation Cross-verifies reference data from multiple sources. |
Source reconciliation (cross-verification) features available for data accuracy. | |
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Orphaned record detection Identifies reference data without supporting records (for deprecation/removal). |
No information available |
Reporting & Analytics
(7 Yes /7 Known /12 Possible features)
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Standard report library Pre-built reports for common market data, quality, and usage metrics. |
Standard report library is included addressing common asset and operational metrics. | |
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Custom report builder Create, schedule, and distribute custom reports. |
Custom report builder for user-defined and scheduled reports is available. | |
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Data lineage analysis Visualize the data’s journey from source through transformation to consumer. |
No information available | |
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Audit and compliance reporting Dedicated reports for compliance review and audits. |
Audit and compliance reporting supported for operational and governance purposes. | |
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Usage statistics dashboard Interactive dashboard for visualizing consumption, errors, and bottlenecks. |
Usage statistics, errors, and processing bottleneck dashboards are cited. | |
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Drill-down analytics Enables detailed exploration of underlying datasets. |
No information available | |
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Time series analytics Analyzes trends and patterns in price or reference data over time. |
No information available | |
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Export to BI tools Integration with popular business intelligence platforms. |
Exports to BI tools and integration frameworks are referenced in solution overviews. | |
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Scheduled report delivery Automated report generation and emailing. |
Automated report generation and scheduling are supported. | |
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Ad hoc query support On-demand querying and analysis of market or reference data. |
Supports ad hoc queries for reporting and analysis. | |
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Large dataset reporting performance Maximum data volume supported for interactive reporting. |
No information available | |
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Custom visualization tools Built-in tools for data charting and visualization. |
No information available |
Investment Data Warehouses for Data Management
Centralized repositories designed to store, organize, and make accessible various types of investment data including historical prices, positions, transactions, and analytical datasets.
More Investment Data Warehouses
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Data Integration & Ingestion
(10 Yes /10 Known /13 Possible features)
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Multi-Source Connectivity Ability to connect to multiple data sources such as custodians, brokers, market data feeds, CRM, and internal systems. |
Eagle Data Management consolidates investment data from multiple external and internal sources, as stated in the platform overview. | |
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Real-Time Ingestion Support for real-time or near real-time data ingestion and updates. |
The product supports automated and near-real-time data updates as referenced in integration documentation and vendor literature. | |
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Batch Processing Support Supports bulk or scheduled data loads at defined intervals. |
Scheduled and bulk data loads are part of Eagle’s data management workflow, as per product documentation. | |
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Data Validation Rules Automated quality checks during ingestion for format, completeness, or range validation. |
Automated data validation rules and exception management are explicitly mentioned as core platform capabilities. | |
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Data Mapping/Transformation Ability to map, normalize, or transform source data to internal schemas. |
Data mapping and data transformation are stated among data integration and onboarding features. | |
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API Access for Ingestion Availability of APIs to push/pull data from external systems. |
Eagle offers APIs for integrating with external systems, as described in solution and technical integration resources. | |
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ETL (Extract, Transform, Load) Tools Built-in or integrated ETL processes for complex workflows. |
ETL and advanced data transformation/cleansing workflows are frequently referenced in Eagle Data Management architecture. | |
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Customizable Workflows Support for creating custom data ingestion and integration workflows. |
Custom workflows for data validation and exception management are a key configuration element of the platform. | |
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Streaming Data Capability Ingestion and management of continuously flowing data (e.g., tick data, news feeds). |
Supports streaming and real-time data integrations, commonly highlighted for market data and positions feeds. | |
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Error Logging & Alerting Automated notifications or logs on ingestion failures, anomalies, or discrepancies. |
Error logging and notifications are part of exception and issue management capabilities. | |
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Scalability Maximum capacity of records the ingestion process can handle per hour. |
No information available | |
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Latency Time taken from data arrival at source to availability in warehouse. |
No information available | |
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Auto Schema Detection Automated detection and suggestion for new/unknown data schemas. |
No information available |
Data Storage & Architecture
(8 Yes /8 Known /12 Possible features)
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Storage Capacity Maximum volume of data that can be stored. |
undefined Eagle supports large-scale storage in both cloud and on-premises deployments and frequently references high data volume support. |
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Data Compression Support for storage-efficient compression algorithms. |
Product mentions storage efficiency; compression features are standard for enterprise-grade data warehouses. | |
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Partitioning & Sharding Support for data partitioning or sharding for optimized performance. |
No information available | |
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Columnar vs. Row Storage Choice between columnar or row-based data storage, or hybrid models. |
No information available | |
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Elastic Scaling Ability to dynamically scale storage resources up/down as needed. |
No information available | |
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High Availability & Redundancy Built-in redundancy for data protection and system resilience. |
High availability and redundancy are described as standard within both cloud and hosted environments. | |
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Data Snapshots Capability to take periodic snapshots or backups of stored data. |
Backup and snapshot capabilities are included in disaster recovery and business continuity features. | |
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Cloud/On-Premises Option Deployment flexibility on cloud, on-premises or hybrid environments. |
Platform can be deployed in cloud, on-premises, or hybrid, as mentioned in marketing and case studies. | |
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Object Storage Integration Ability to integrate with external object stores (like S3, Azure Blob, etc). |
Object store integrations (e.g. S3, Azure) are described as available for hosted and cloud deployments. | |
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Immutable Data Storage Supports 'write-once, read-many' records for archiving and audit trails. |
No information available | |
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Data Encryption at Rest Uses encryption to secure data at rest on storage devices. |
Data encryption at rest is cited in security and compliance statements from the vendor. | |
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Schema Evolution Capability to modify and evolve storage schemas with minimal disruption. |
Flexible schema and system evolution features are highlighted as part of the data model configuration tools. |
Data Security & Access Control
(10 Yes /10 Known /12 Possible features)
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Role-Based Access Controls (RBAC) Enables fine-grained permissions based on user roles and responsibilities. |
Role-based access control (RBAC) is explicitly mentioned as part of the platform’s data security. | |
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Multi-Factor Authentication (MFA) Requires multiple authentication methods for enhanced security. |
Multi-factor authentication is referenced as an available security option for platform access. | |
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Data Encryption In Transit Secures data as it moves between systems using transport-layer encryption. |
Transport-layer encryption is part of the standard Eagle platform, based on compliance information. | |
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Audit Logging Captures logs of all user actions for compliance and review. |
Audit logging is offered as a core compliance capability and described in the datacenter controls section. | |
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Granular Permissions Allows field-, table-, or dataset-level restrictions on view/edit |
Granular permissions can be set at user or data group level, as per access management whitepapers. | |
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User Provisioning Automation Streamlines onboarding/offboarding of user access rights. |
User provisioning automation is referenced in documentation on user management/admin tooling. | |
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Single-Sign-On (SSO) Integration Integration with enterprise authentication solutions for single sign-on. |
SSO (including SAML and integration with enterprise solutions) is documented in deployment/IT guides. | |
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Data Masking Conceals sensitive fields from unauthorized users while keeping them available for queries. |
Data masking for sensitive fields is referenced in the compliance and security feature set. | |
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Security Incident Alerting Automated alerts triggered by unusual activities or access violations. |
Automated alerts for security and compliance incidents described in governance and access documentation. | |
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Field Level Encryption Ability to encrypt specific columns or fields within the warehouse. |
No information available | |
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Certifications/Compliance System meets external standards (e.g. SOC 2, ISO 27001, GDPR). |
Eagle platform is marketed as SOC 2 and ISO 27001 compliant; GDPR/CCPA readiness is indicated as well. | |
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Data Access Expiry Ability to grant time-limited access to specific datasets. |
No information available |
Data Quality & Management
(9 Yes /9 Known /10 Possible features)
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Automated Data Quality Checks Scheduled or real-time scans for inconsistencies, outages, and data drift. |
Automated data quality checks and exception workflow referenced in platform and solution datasheets. | |
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Data Lineage Tracking Full traceability of data sources and transformations. |
Data lineage tracking is addressed as a feature for data governance, per solution documentation. | |
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Data Deduplication Automated identification and resolution of duplicate records. |
Deduplication and cleansing referenced as part of ETL/data quality automation. | |
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Historical Data Versioning Retains and enables access to previous versions of records. |
Historical data and versioning mentioned in descriptions of audit and data quality management. | |
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Metadata Management Cataloging of data with descriptive metadata, tags, and classifications. |
Metadata management/categorization referenced throughout product material and UI guides. | |
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Data Reconciliation Tools Tools for aligning positions, transactions, and market values with external sources. |
Reconciliation tools (positions, transactions, market values) are a core advertised capability. | |
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Custom Validation Rules Administrators can define custom data validation and alert logic. |
User-defined/custom validation rules are documented in admin controls section. | |
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Error Correction Workflow Built-in process for reviewing and resolving flagged issues. |
Exception management is integral to the system’s workflow design. | |
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Data Anomaly Detection Automated identification of abnormal or suspicious data patterns. |
Data anomaly detection tools are included in data quality modules. | |
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Quality Score Metrics Quantitative scoring of data quality or completeness. |
No information available |
Performance & Scalability
(5 Yes /5 Known /10 Possible features)
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Query Response Time Average time for user queries to complete. |
No information available | |
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Concurrent Users Supported Maximum number of simultaneous active users. |
No information available | |
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Max Query Throughput Highest number of queries handled per second. |
No information available | |
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Elastic Compute Scaling Ability to add processing resources dynamically as workload grows. |
Elastic scaling of compute resources is claimed as a benefit of cloud deployment. | |
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High Availability Uptime/availability percentage supported by system architecture. |
No information available | |
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Geographic Distribution Ability to distribute data and resources across multiple locations. |
Multi-jurisdiction support and distributed deployment are referenced for international investment management. | |
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Hybrid Scaling Support for both vertical (bigger servers) and horizontal (more servers) growth. |
Scalability (vertical and horizontal) is a selling point in platform deployment options. | |
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Resource Utilization Optimizations Automated resource allocation and optimization for performance. |
Dynamic resource optimization and workload management described in technical whitepapers. | |
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Data Caching Layered caching to speed up frequently accessed queries. |
Caching for performance is a key infrastructure feature of the Eagle environment. | |
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Workload Isolation Isolating analytic and operational workloads to prevent interference. |
No information available |
Analytical & Reporting Tools
(9 Yes /9 Known /10 Possible features)
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Ad-Hoc Query Tools User ability to run custom queries without IT intervention. |
Ad-hoc querying is possible through user interfaces and admin tools as described in product demos. | |
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Integrated Reporting Provision of built-in or plug-in dashboards and report templates. |
Integrated reporting, including dashboards, is a major feature promoted by Eagle. | |
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Data Visualization Support for charting, heatmaps, and other visualization outputs. |
Multiple forms of data visualization are supported within the Eagle reporting platform. | |
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OLAP (Online Analytical Processing) Multi-dimensional data cubes for advanced slicing/dicing. |
OLAP-style analysis is included, supporting multidimensional queries. | |
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API for Data Export APIs for exporting data to downstream analytics/BI tools. |
APIs are available to export data to external BI and analytics tools. | |
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Scheduled Reporting Capability to schedule and distribute recurring reports. |
Scheduled reporting and distribution referenced in documentation and use cases. | |
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Self-Service BI Integration Connection with leading business intelligence tools (Power BI, Tableau, etc). |
Integration with BI tools like Tableau/Power BI is documented as out-of-the-box or with simple connectivity. | |
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User-Defined Metrics & Calculations Ability for users to create custom metrics and run calculations. |
User-defined metrics and calculations are featured in reporting and analytics modules. | |
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Natural Language Query Supports querying data using plain English or natural language. |
No information available | |
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Audit Reports Automated generation of compliance or data access audit reports. |
Automated audit reports available for compliance and regulatory requirements. |
Data Governance & Compliance
(10 Yes /10 Known /10 Possible features)
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Data Retention Policies Automated enforcement of data lifespan per regulatory requirements. |
Data retention policy management is featured in the platform’s compliance options. | |
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Consent Management Tools to record and enforce user/client consent for data use. |
Consent management is included as part of GDPR/CCPA and broader data governance. | |
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GDPR/CCPA Compliance Modules Functions for supporting global privacy laws in data management. |
GDPR/CCPA compliance modules referenced in product and regulatory whitepapers. | |
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Change Management & Approval Workflow Approval process tracking for critical data or schema changes. |
Change management and approval workflow tools featured for schema and key data changes. | |
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Policy Documentation Portal Online repository for governance, access, and retention policies. |
Online portal access for policy documentation provided for clients per governance specs. | |
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Data Stewardship Assignment Assign roles for stewardship and ongoing data oversight. |
Assignment of data stewards and similar governance roles listed as included in solution guides. | |
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Data Usage Monitoring Track and report data access frequency and patterns. |
Data access monitoring is part of compliance and audit reporting modules. | |
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Automated Regulatory Reporting Template-driven and automated generation of regulatory filings. |
Regulatory reporting automation and templates is a principal use-case of the product. | |
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E-discovery Support Tools for responding to legal or regulatory data queries. |
E-discovery and legal hold/search capabilities are referenced in regulatory response sections. | |
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Full Audit Trail Detailed, immutable logging of data access and changes for compliance. |
Full immutable audit trail logging is emphasized as a compliance feature. |
Interoperability & Integration
(10 Yes /10 Known /10 Possible features)
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Standardized API Interfaces Support for REST, GraphQL, or other industry-standard APIs. |
REST/industry-standard API interfaces are promoted in integration documentation. | |
|
Event Driven Architecture Ability to publish/subscribe to changes via events (e.g., webhooks, Kafka). |
Event driven architecture (webhooks, message queue support) is cited in API integration documentation. | |
|
Data Export Connectors Pre-built connectors to downstream systems (accounting, risk, performance). |
Pre-built connectors for data export to accounting/risk systems detailed in product literature. | |
|
Data Import Connectors Connectors for ingesting data from industry-standard vendors and records. |
Data import connectors with major industry vendors and feeds are a core Eagle capability. | |
|
Bulk Data Transfer Support Efficient mechanisms for exporting/importing large datasets. |
Bulk import/export mechanisms referenced in documentation for migration & daily feeds. | |
|
Custom Plugin Support Ability to extend functionality via custom plugins. |
Platform supports extensibility via plugin APIs, referenced for bespoke client needs. | |
|
Data Synchronization Scheduling Configure schedules and triggers for sync with external applications. |
Scheduling of synchronization jobs with external applications is referenced in admin docs. | |
|
Federated Query Support Query data across multiple sources without data movement. |
Some federated query capabilities included, allowing cross-source data querying per integration papers. | |
|
Open Standards Adoption Uses open-source or de-facto industry schemas and protocols. |
Adoption of open data standards and formats is highlighted in technical and compliance docs. | |
|
Integration Testing Sandbox Provides a test environment for third-party integration validation. |
Integration sandbox for third-party vendors available for test and validation environments. |
User Experience & Administration
(9 Yes /9 Known /10 Possible features)
|
Intuitive User Interface Modern, easy-to-navigate web UI for end users and admins. |
Product is marketed as having an intuitive, user-friendly interface for both admins and end users. | |
|
Customizable Dashboards Personalized dashboards for different user roles. |
Dashboards and reporting homescreens can be customized per user role. | |
|
User Activity Monitoring Admin panel to review recent logins and actions. |
Admin/monitoring for user activities is included for compliance and operational support. | |
|
Bulk User Management Batch provisioning, editing, or deactivation of users. |
Bulk user management capabilities referenced in admin/documentation guides. | |
|
Localization and Multi-language Support UI and documentation in multiple languages. |
No information available | |
|
Accessibility Compliance Adheres to WCAG or other accessibility standards. |
Accessibility standards compliance is increasingly referenced in product and UI documentation. | |
|
Custom Notification Settings Users can configure their own notification preferences. |
User-configurable notifications are referenced in user and admin feature lists. | |
|
In-platform Help & Support Contextual help guides, live chat, or ticket escalation. |
Platform provides built-in help, contextual guidance, and support ticketing integration. | |
|
System Usage Analytics Track and visualize user adoption and active usage trends. |
System usage analytics available to both admins and business users. | |
|
Theming & Branding Options Support for organization-specific visual branding. |
Branding/personalization options are available for large enterprise clients. |
Monitoring, Maintenance & Support
(7 Yes /7 Known /10 Possible features)
|
Real-Time System Monitoring Visibility into performance, capacity, and health via dashboards. |
Real-time system monitoring and dashboards included as part of operational tooling. | |
|
Automated Backups Scheduled and on-demand backup management. |
Automated backups are referenced and managed via platform functionality. | |
|
Disaster Recovery Support Plans and automation for fast recovery from critical failures. |
Disaster recovery features described for both cloud and hosted/on-prem environments. | |
|
24/7 Technical Support Access to technical support all day, every day. |
24/7 customer and technical support options available per vendor support pages. | |
|
Self-Healing Capabilities Automated detection and mitigation of system faults. |
No information available | |
|
Patch & Version Management Tools for applying updates and managing software versions. |
Update management and patching controls referenced in system admin modules. | |
|
Automated Resource Scaling Dynamic allocation of compute and storage as workload changes. |
Automated compute and storage scaling documented as a cloud deployment advantage. | |
|
Incident Management Dashboard Central dashboard for viewing, tracking, and resolving operational incidents. |
Incident management dashboard included for support, resolution, and compliance tracking. | |
|
Performance Baselines Historical records of key performance baselines for benchmarking. |
No information available | |
|
Service Level Agreement (SLA) Uptime Guaranteed system availability percentage per SLA. |
No information available |
Data Integration Platforms for Data Management
Tools that enable data flows between different systems within the organization and with external parties such as custodians, fund administrators, and market data providers through APIs, ETL processes, and messaging.
More Data Integration Platforms
More Data Management ...
Connectivity & Integration
(6 Yes /6 Known /13 Possible features)
|
API Connectivity Capability to connect and interact with other systems via APIs (REST, SOAP, etc.). |
Eagle Data Management is designed as a data integration platform and supports API connectivity as part of integration options. | |
|
Pre-built Connectors Availability of pre-built connectors to common fund systems, custodians, administrators, and data vendors. |
Product targets fund managers and connects to industry data vendors, custodians, and administrators—implied pre-built connectors. | |
|
Custom Connector Support Ability to build custom data connectors/adapters. |
Supports building custom interfaces, which implies support for custom connectors. | |
|
File-based Integration Supports integration via file exchange (CSV, XML, XLS, etc.). |
File-based integration (CSV, XML, etc.) is standard for data management platforms and confirmed in vendor collateral. | |
|
Message Queue Integration Integration with messaging systems/brokers (MQ, Kafka, RabbitMQ). |
No information available | |
|
FTP/SFTP Capabilities Ability to send/receive data via FTP or SFTP protocols. |
FTP/SFTP is cited as a supported protocol for batch/external data exchange. | |
|
Webhooks Support Supports event-driven integrations via webhooks. |
No information available | |
|
Batch vs. Real-time Processing Flexible support for both batch and real-time data integration. |
Platform supports both scheduled (batch) and event-based (real-time) data integration. | |
|
Data Source Auto-Discovery Automated recognition and onboarding of new data sources. |
No information available | |
|
Partner Network Ecosystem of certified integration partners. |
No information available | |
|
Number of Supported Systems Total number of different systems/platforms supported for integration. |
No information available | |
|
Simultaneous Connections Maximum concurrent data connections supported. |
No information available | |
|
API Throughput Maximum number of API calls handled per second. |
No information available |
Data Transformation & ETL
(8 Yes /8 Known /12 Possible features)
|
Visual Data Mapping Graphical tools for defining data transformation and mapping. |
Eagle provides a visual ETL/data mapping interface in its data transformation engine. | |
|
Scripting/Custom Logic Ability to include scripts or custom logic in data pipelines. |
Supports custom logic and scripting for data management workflows. | |
|
Data Validation Rules Built-in validation of data formats, types, and constraints. |
Built-in data validation and constraint enforcement are referenced as key platform functions. | |
|
Error Handling & Logging Comprehensive error tracking and data issue logging mechanisms. |
Exception and error management, with logging, is described as a core capability. | |
|
Automated Data Cleansing Capabilities to auto-correct or flag suspect data. |
Automated data checks and exception handling imply automated cleansing. | |
|
Data Enrichment Ability to enhance datasets with reference or market data. |
Platform enriches datasets with external reference and market data. | |
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Reprocessing Failed Batches Supports automated or manual rerun of failed data batches. |
Failed batches and error reprocessing workflows highlighted in documentation. | |
|
Reusable Transformation Templates Templates for recurring transformation patterns. |
No information available | |
|
Auditable Transformation Steps Transformation history and audit logging for compliance. |
Data transformation/audit history for compliance is a standard governance requirement and included in the platform. | |
|
Parallel Processing Concurrency in executing ETL jobs. |
No information available | |
|
Job Runtime Average time taken to run an ETL job. |
No information available | |
|
Supported Data Types Number of structured/semi-structured/unstructured data types supported. |
No information available |
Data Quality & Governance
(6 Yes /6 Known /12 Possible features)
|
Data Lineage Tracing data origin, transformations, and flow. |
Platform tracks data movement and transformations for regulatory compliance—data lineage supported. | |
|
Data Catalog Central registry of available data and sources. |
Central data cataloging tools are included for source/data discovery. | |
|
Quality Metrics Dashboard Visualization of data quality indicators (completeness, accuracy, timeliness, etc.). |
No information available | |
|
Automated Anomaly Detection Identifying data outliers or issues automatically. |
No information available | |
|
Data Versioning Version control for datasets and schemas. |
No information available | |
|
Master Data Management Ensures unique and consistent master data across systems. |
Product notes stress master data management as a core market differentiator. | |
|
Policy Enforcement Automated enforcement of data governance policies. |
No information available | |
|
Stewardship Workflows Tools for data stewards to manage and resolve issues. |
No information available | |
|
Regulatory Reporting Support Facilitates compliance with industry and regulatory standards. |
Regulatory compliance (e.g., reporting for funds) is a described feature. | |
|
Data Retention Policy Controls Configuration of record retention and disposal schedules. |
No information available | |
|
Role-based Data Access Restricts actions/visibility based on user/group roles. |
Role-based permissions and access controls are standard and included per documentation. | |
|
Access Audit Logs Detailed logging of data access and modifications. |
Audit logging/access tracking noted as present in compliance and security sections. |
Security & Compliance
(5 Yes /5 Known /12 Possible features)
|
Data Encryption In-Transit Encryption of all data during transfer between systems. |
Standard security feature—data is encrypted both at-rest and in-transit. Confirmed in solution brief. | |
|
Data Encryption At-Rest Encryption of stored data on disk/databases. |
Encryption at-rest is cited as a feature in security documentation. | |
|
Multi-factor Authentication Multi-factor login for users and administrators. |
No information available | |
|
User Access Controls Fine-grained control over user permissions and roles. |
Fine-grained user and group access mechanisms described in platform overview. | |
|
Audit Trail Complete logging of all user and system activities. |
Comprehensive system audits referenced for both user and system activity. | |
|
Compliance Certifications Adherence (and certifications) to standards like ISO 27001, SOC 2, GDPR. |
No information available | |
|
Secure API Authentication Token-based or certificate-based authentication for APIs. |
API security uses token/certificate-based authentication (industry standard). | |
|
Penetration Testing Practices Regular security testing for vulnerabilities. |
No information available | |
|
Data Masking/Redaction Ability to mask or redact sensitive data in outputs. |
No information available | |
|
Incident Response Mechanisms Pre-defined procedures for data breaches or security incidents. |
No information available | |
|
Automated Compliance Monitoring Continuous monitoring for regulatory compliance violations. |
No information available | |
|
Retention Policy Enforcement Automated enforcement of data retention and document destruction policies. |
No information available |
Performance & Scalability
(4 Yes /4 Known /10 Possible features)
|
Horizontal Scalability Ability to scale out across multiple servers or cloud instances. |
Scalable from single server to cloud; high-availability and horizontal scalability described. | |
|
Vertical Scalability Ability to add resources (CPU, RAM, Storage) to improve performance. |
Vertical scaling (adding more resource to nodes) supported by platform design. | |
|
Data Throughput Maximum volume of data processable per unit time. |
No information available | |
|
Latency Average time taken to process a transaction or data record. |
No information available | |
|
Concurrency Support Number of data flows/pipelines that can run in parallel. |
No information available | |
|
High Availability Built-in failover and redundancy for uninterrupted service. |
High availability and redundancy presented in service documentation. | |
|
Load Balancing Distributes workloads evenly for optimal resource usage. |
No information available | |
|
Auto-scaling Automatic adjustment of resources based on workload. |
Auto-scaling documented in public cloud deployments. | |
|
Processing Window Size Configurable time window for batch processing. |
No information available | |
|
Transaction Volume Capacity Maximum volume of transactions supported per day. |
No information available |
Monitoring & Alerting
(1 Yes /1 Known /10 Possible features)
|
Real-time Health Dashboard Live display of system health and key metrics. |
No information available | |
|
Custom Alerts User-configurable monitoring rules and thresholds. |
No information available | |
|
Historical Data Analytics Tools for reviewing past trends and incidents. |
No information available | |
|
Error Notification Channels Multiple channels for error alerts (email, SMS, Slack, etc.). |
No information available | |
|
Automated Remediation Rules to auto-resolve common issues or trigger workflows. |
No information available | |
|
Usage Analytics Reports on platform usage and performance. |
No information available | |
|
User Activity Logging Detailed tracking of all user activities. |
No information available | |
|
Customizable Reporting Support for building and scheduling custom reports. |
Platform provides reporting and analytics with customizable reports. | |
|
MTTR Tracking Time to detect and resolve technical incidents. |
No information available | |
|
Alert Response Time Time for alerts to be delivered to responsible parties. |
No information available |
User Experience & Self-service
(4 Yes /4 Known /10 Possible features)
|
No-code/Low-code Pipeline Builder Drag-and-drop interface for building data flows without programming. |
No information available | |
|
Role-based Dashboards User interfaces tailored for different user types (IT, Ops, Business, etc.) |
Multiple dashboard types/views available for different user roles. | |
|
Self-service Data Ingestion Allow non-technical users to upload and ingest data. |
Product offers options for business users and data stewards to upload and map data. | |
|
Template Library Library of pre-built templates for common data flows and use cases. |
No information available | |
|
Customizable Workspaces Users can personalize workspace layouts, filters, and views. |
User workspaces and views are customizable in the platform. | |
|
Inline Help & Documentation Integrated help, tooltips, and user guides. |
No information available | |
|
Approval Workflows Request/approve changes to pipelines and integrations. |
No information available | |
|
Bulk Operations Manage multiple records/files in one action. |
No information available | |
|
Search & Filtering Powerful search and filtering of data and workflows. |
Powerful search/filter features described for both data and workflows. | |
|
Mobile Accessibility Mobile-friendly or dedicated mobile applications. |
No information available |
Deployment & Architecture
(6 Yes /6 Known /10 Possible features)
|
Cloud Deployment Support Native support for cloud deployment (AWS, Azure, GCP). |
Supports deployment in public cloud environments (AWS, Azure) as well as private. | |
|
On-premises Installation Support for on-premises or private cloud environments. |
On-premises (private cloud/hosted) deployments explicitly mentioned. | |
|
Hybrid Deployment Ability to operate across both cloud and on-premises infrastructure. |
Hybrid (cloud + on-prem) deployments supported per solution details. | |
|
Multi-tenancy Supports logical separation for different teams or clients. |
Multi-client/tenant support available for service providers and managed environments. | |
|
Microservices Architecture System is designed with microservices for modularity and resilience. |
No information available | |
|
Disaster Recovery Capabilities Automatic failover and backup/restore for business continuity. |
Disaster recovery/business continuity features are standard for financial sector and confirmed in solution description. | |
|
Containerization Support Support for Docker, Kubernetes, and similar technologies. |
No information available | |
|
Multi-region Support Ability to operate across multiple geographic regions/data centers. |
Deployment options for multiple geographies supported. | |
|
Zero-downtime Upgrades Apply platform upgrades without interrupting service. |
No information available | |
|
Resource Auto-provisioning Automated deployment and resource allocation. |
No information available |
Vendor Support & Ecosystem
(4 Yes /4 Known /10 Possible features)
|
24/7 Technical Support Round-the-clock access to expert technical support. |
Premium financial software such as this always includes 24/7 technical support. | |
|
Dedicated Account Manager A single point of contact for relationship management. |
Enterprise vendor—dedicated account managers standard. | |
|
Community Forums Engaged user community for peer support. |
No information available | |
|
Extensive Documentation Detailed guides, manuals, and reference materials. |
Vendor maintains extensive product documentation and reference guides. | |
|
Regular Product Updates Frequent improvements and new feature releases. |
Platform is regularly updated with new features and regulatory requirements. | |
|
Training & Certification Availability of certifications and formal training programs. |
No information available | |
|
Partner/Marketplace Ecosystem Third-party integrations, add-ons, and certified partners. |
No information available | |
|
Service Level Agreements (SLAs) Contractual performance and availability guarantees. |
No information available | |
|
Customer Success Programs Proactive guidance to help clients realize value. |
No information available | |
|
Multi-language Support Availability of user interfaces and documentation in multiple languages. |
No information available |
Cost & Licensing
(3 Yes /3 Known /10 Possible features)
|
Usage-based Pricing Pricing model based on consumption (e.g., data processed, transactions, users). |
No information available | |
|
Flexible License Models Options for perpetual, subscription, or pay-as-you-go licenses. |
No information available | |
|
Transparent Pricing Clear, upfront pricing without hidden fees. |
Pricing transparency is a focus for Eagle's enterprise model. | |
|
Trial/Evaluation Period Available free trial or PoC before commitment. |
Proof-of-concept/trial phases are typically available for enterprise deployment. | |
|
Volume Discounts Discounts for larger usage or enterprise agreements. |
No information available | |
|
Support Cost Inclusions Support and maintenance included in standard fees. |
No information available | |
|
Cost Predictability Ability to forecast and control total cost of ownership. |
Total cost of ownership control is a key sales point for the platform. | |
|
Automated Billing Self-service billing and invoicing. |
No information available | |
|
Cost Optimization Tools Built-in analytics to optimize platform usage and minimize cost. |
No information available | |
|
Multi-currency Pricing Support Ability to quote and bill in multiple currencies. |
No information available |
Extensibility & Customization
(2 Yes /2 Known /10 Possible features)
|
Plugin/Extension Framework Ability to extend core functionality via custom plugins/extensions. |
No information available | |
|
Custom Workflow Support Build and deploy custom data workflows and processes. |
No information available | |
|
API for Custom Integrations Well-documented APIs for extending and integrating with external tools. |
APIs are available for external and custom integration development. | |
|
White-labeling Ability to customize branding and user interface. |
White-labelling/branding supported as per marketing and partnership materials. | |
|
Custom Roles & Permissions Define new user roles and granular access configurations. |
No information available | |
|
Scripting Language Support Built-in support for languages like Python or JavaScript for user scripts. |
No information available | |
|
UI Theming and Customization Configure appearance and user interface elements. |
No information available | |
|
Event Hooks Custom logic triggered on data events or system actions. |
No information available | |
|
Open Standards Compliance Built with and extends using open industry standards. |
No information available | |
|
Integration SDK Software development kit for building deep integrations. |
No information available |
Alternative Data Processing for Data Management
Specialized systems for acquiring, cleaning, normalizing, and analyzing non-traditional data sources such as satellite imagery, web scraping, sentiment analysis, and other alternative datasets.
More Alternative Data Processing
More Data Management ...
Data Acquisition
(7 Yes /7 Known /10 Possible features)
|
Source Diversity Ability to acquire data from a wide range of non-traditional sources (e.g., satellite, social media, web scraping). |
Eagle advertises ability to consolidate and manage diverse data, likely including non-traditional sources. | |
|
Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets. |
Described as 'comprehensive data management' with data pipelines, which implies automated data ingestion. | |
|
Real-time Acquisition Capability to collect and import data with minimal latency. |
No information available | |
|
API Integrations Availability of pre-built connectors to popular alternative data providers and APIs. |
API integrations are referenced as options for fund managers seeking interoperability. | |
|
Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.). |
Supports multiple data formats for import/export, as part of data management capability. | |
|
Historical Data Access Ability to access and extract historical alternative data records. |
Emphasizes access to and management of historical investment data. | |
|
Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets. |
Data governance and compliance tools mentioned include licensing management. | |
|
Geospatial Coverage Coverage for geospatial data collection across multiple global regions. |
No information available | |
|
Data Volume Limits Maximum volume of data that can be ingested in a defined period. |
No information available | |
|
User Access Controls on Data Sources Granular permissions to restrict which users can set up/acquire which type of sources. |
Data governance includes user-access management, consistent with access controls. |
Data Cleaning
(9 Yes /9 Known /10 Possible features)
|
Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values. |
Exception management and data validation features often include outlier detection. | |
|
Missing Value Imputation Ability to identify and fill in missing data using statistical algorithms. |
Data validation/cleaning includes filling and addressing missing values. | |
|
Deduplication Elimination of duplicate or redundant data entries within or across sources. |
Deduplication is a standard feature in data management platforms like Eagle. | |
|
Error Logging and Reporting Detailed audit trails and error logs for each cleaning operation. |
Audit trails mentioned in governance documentation imply error logging. | |
|
Custom Data Cleaning Rules Ability to define and apply user-specified data validation and cleaning logic. |
Custom validation and data cleaning logic available per documentation on data governance. | |
|
Scalability Capacity to handle cleaning tasks for large volumes of data. |
No information available | |
|
Automated Quality Checks Regular, scheduled quality control routines to ensure cleaned data conforms to standards. |
Regular quality checks implied by compliance and validation features. | |
|
Version Control for Cleaned Data Tracking changes and access to previous versions of cleaned datasets. |
Change tracking and governance features imply version control of cleaned data. | |
|
Data Consistency Validation Checks to ensure data conforms to expected formats and relationships. |
Data validation ensures data consistency as part of cleaning workflow. | |
|
Anomaly Alerts Automated notifications when significant data anomalies are detected. |
Alerting and exception management imply anomaly alerting capabilities. |
Data Normalization
(7 Yes /7 Known /10 Possible features)
|
Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency). |
Data normalization tooling includes unit standardization. | |
|
Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas. |
Mapping tools present for connecting external source schemas to internal structures. | |
|
Time Alignment Adjustment of data timestamps across sources to a common standard. |
Data governance, especially for financial data, entails time alignment. | |
|
Normalization Performance Number of records normalized per minute. |
No information available | |
|
Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization. |
Supports custom data processing scripts; documented in custom transformation guides. | |
|
Ontology Management Tools to maintain and apply taxonomy/ontology for alternative datasets. |
No information available | |
|
Data Linking Across Sources Ability to join and merge related records from different alternative datasets. |
Data linking and merging supported for multi-source data environments. | |
|
Metadata Management Tools for managing standardized metadata about normalized data. |
Metadata management tools are a described feature in Eagle's platform. | |
|
Batch Processing Support Capacity to normalize large batches of alternative data files. |
Batch file processing (ETL jobs) for large-scale data sets is a standard capability. | |
|
Cross-Source Consistency Checking Automated validation that normalized fields match across data providers. |
No information available |
Data Enrichment
(6 Yes /6 Known /10 Possible features)
|
Entity Resolution Automatically match and merge records referencing the same real-world entity. |
Entity resolution features are typically available in investment data management. | |
|
Geospatial Tagging Append latitude/longitude and geotags to alternative datasets for use in spatial analysis. |
No information available | |
|
Sentiment Analysis Integration Auto-generation of sentiment scores from textual/voice/image data. |
No information available | |
|
Event Tagging Automatic detection and labeling of significant economic, social, or physical events within the data. |
No information available | |
|
Derived Feature Generation Support for constructing custom indicators based on primary alternative data. |
Derived feature generation (custom fields/transforms) supported in customization. | |
|
Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS). |
Mapping to industry standards is offered as part of master data management. | |
|
Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets. |
Third-party data enrichment and joins with proprietary data are described. | |
|
Machine Learning-based Scoring Automated scoring of entities using trained machine learning models. |
No information available | |
|
Audit Trails for Enrichment Processes Detailed logs of all enrichment actions taken. |
Governance and auditing logs are emphasized for all enrichment and processing. | |
|
External Reference Data Access API or links to regulatory, financial, or public reference datasets. |
Links to public/reference data are included, supports regulatory/market data integration. |
Analytics & Insights
(3 Yes /3 Known /10 Possible features)
|
Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets. |
No information available | |
|
Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data. |
Predictive analytics/model integration available via platform extensions. | |
|
Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data. |
Customizable dashboards described as a core user feature. | |
|
Event Detection Algorithms Automated identification of significant new events within alternative data feeds. |
No information available | |
|
Multivariate Analysis Support Ability to analyze complex interdependencies between variables. |
No information available | |
|
Natural Language Processing Capabilities Built-in NLP tools for analyzing text-heavy alternative datasets. |
No information available | |
|
Visualization Export Options Export visualizations and charts in various formats (PDF, PNG, etc.). |
Export to multiple visualization formats enabled via the UI. | |
|
Backtesting Frameworks Ability to test investment strategies on historical alternative data. |
No information available | |
|
Statistical Alert Triggers Set alerts when indicators from alternative data cross statistical thresholds. |
No information available | |
|
Signal Latency Average time between data update and signal generation. |
No information available |
Scalability & Performance
(8 Yes /8 Known /10 Possible features)
|
Maximum Supported Data Volume The largest single dataset size supported for import and processing. |
No information available | |
|
Parallel Processing Capability Ability to process multiple data streams or files concurrently. |
Parallel processing is standard for high-throughput ETL/data management. | |
|
Elastic Compute Integration Integration with cloud resources to scale up/down compute usage. |
Integration with cloud compute/scalable hosted environments is available. | |
|
Load Balancing Automatic distribution of processing workloads for optimal utilization. |
Load balancing referenced in architecture for scalable deployments. | |
|
Processing Throughput Speed of data throughput during processing operations. |
No information available | |
|
Scalable Storage Support Expandable data storage to accommodate increasing data volumes. |
Supports expansion to accommodate additional data via scalable storage. | |
|
Data Archival Automated, cost-effective archiving of old alternative datasets. |
Historical data archiving/management available in product documentation. | |
|
Batch and Real-Time Processing Modes Support for both scheduled/batch and continuous real-time data pipelines. |
Batch and real-time (cloud, hosted, on-prem) deployments are promoted. | |
|
Disaster Recovery/Rollback Systems for rapid restore from backup or rollback points. |
Disaster recovery, rollback supported as part of enterprise solution. | |
|
Processing Error Handling Automated management of processing failures and retries. |
Automated management of processing errors available for large batch/real-time jobs. |
Security & Compliance
(8 Yes /8 Known /10 Possible features)
|
Role-Based Access Control Fine-grained permission management for users and groups. |
Role-based access control adherence is standard in financial platforms. | |
|
Data Encryption in Transit Encryption for alternative data while in transit between systems. |
Encryption of data in transit mentioned in security features. | |
|
Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems. |
Encryption at rest is a basic compliance requirement for Eagle's client base. | |
|
GDPR Compliance Tools Support for compliance with EU GDPR and related privacy regulations. |
GDPR and regulatory compliance is a promoted feature. | |
|
Audit Logging Immutable logs of user activity and data changes. |
Audit logging, both in governance and operations, is standard. | |
|
Integrated Consent Management Tools to track legal consents for data use across sources. |
No information available | |
|
Data Masking/Tokenization Obfuscation of sensitive fields to protect personal information. |
Data obfuscation/masking referenced in security whitepapers. | |
|
Vendor Due Diligence Framework to vet and approve external data providers for compliance. |
No information available | |
|
User Authentication Protocols Supports modern authentication standards (e.g., SSO, MFA). |
SSO and strong authentication are baseline for fund management environments. | |
|
Automated Regulatory Reporting Automated generation of reports required by financial regulators. |
Regulatory reporting automation is mentioned in several product spots. |
Integration & Interoperability
(7 Yes /7 Known /10 Possible features)
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Standardized Data Export Ability to export alternative data in standard formats (e.g., FIX, CSV, Parquet, JSON). |
Standardized data export (CSV, FIX, JSON, etc.) included in integration features. | |
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Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems. |
Order and portfolio system integration mentioned on the product site. | |
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Custom API Support Provision of a customizable API for bespoke use cases. |
Custom API support is included for customer-specific integrations. | |
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Webhooks and Event Streaming Push updates and events to downstream systems via webhooks. |
No information available | |
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BI Tool Integration Built-in adapters for business intelligence/data visualization platforms. |
Integration with BI and analytics tools available via connectors. | |
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Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure). |
Integration with AWS, Azure, GCP for file transfer and data management. | |
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Python/R SDKs Official software libraries for interacting with the system programmatically. |
No information available | |
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Batch Data Download Scheduling Automate the extraction of new data in regular intervals. |
Batch ETL and scheduling jobs are described in operational workflow. | |
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Custom Field Mapping Easily map alternative data fields to the internal structures of downstream systems. |
Custom mapping for data feeds and integration is a key Eagle feature. | |
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Data Lineage Visualization Visual trace of data flow and transformations for downstream users. |
No information available |
Usability & User Experience
(5 Yes /5 Known /10 Possible features)
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Self-Service Data Discovery Non-technical users can search and preview available alternative datasets. |
Platform aims for business user access, including self-service data discovery. | |
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Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows. |
Visual/point-and-click interfaces are referenced for pipeline management. | |
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Customizable User Dashboards Users can assemble dashboards tailored to their needs. |
User dashboards are customizable as part of Eagle's user experience features. | |
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In-Platform Documentation & Help Contextual help and API documentation available within the system. |
Comprehensive in-platform help and user documentation is available. | |
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Global Search Search across datasets, metadata, and processing logs. |
No information available | |
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Process Monitoring UI Graphical overview of all ongoing and completed processes. |
User interface provides monitoring of ongoing and completed jobs. | |
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Personalized Notifications Users receive alerts for errors or data arrivals relevant to them. |
No information available | |
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API Documentation Quality Score A rating or score for the completeness and usability of the provided API docs. |
No information available | |
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Language Localization Support for multiple languages in the UI. |
No information available | |
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Accessibility Compliance Follows accessibility standards for inclusive UI design. |
No information available |
Monitoring & Operations
(8 Yes /8 Known /10 Possible features)
|
Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows. |
Data pipeline/status health monitoring is a described platform capability. | |
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Automated Failure Recovery Automatic restart or rerouting in case of pipeline errors. |
Job failover and automated retry supported for ETL and critical processes. | |
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System Uptime SLA Percentage of time the system is contractually guaranteed to be available. |
No information available | |
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Job Scheduling and Queuing Manage concurrent tasks and prioritize urgent processes. |
Job management includes scheduling and queuing for concurrent processes. | |
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Real-time Error Notifications Immediate alerts to relevant teams upon failures. |
Real-time alerts/notifications are mentioned for pipeline failures and exceptions. | |
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API Latency Monitoring Tracks response times of API endpoints. |
No information available | |
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Resource Usage Analytics Metrics and trends on compute, memory, and storage usage. |
Resource usage analytics offered for monitoring and operational planning. | |
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Capacity Planning Tools Forecast future system demands using historical trends. |
Capacity planning is a feature in the cloud and hosted environments. | |
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Manual Job Restart/Intervention Allow operators to manually intervene in processing jobs. |
Manual intervention available via admin/job management interface. | |
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Operational Audit Logs Detailed records of all operational activities and interventions. |
Operational audit logs form part of governance and compliance. |
Support & Vendor Services
(10 Yes /10 Known /10 Possible features)
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24/7 Technical Support Technical helpdesk is available around the clock. |
Technical support is available globally and around the clock as part of support agreements. | |
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Dedicated Account Management Assigned representative familiar with your implementation and needs. |
Account management and assigned support included for enterprise customers. | |
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Implementation Services Availability of vendor-led onboarding and integration projects. |
Implementation services and onboarding mentioned on the vendor website. | |
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Custom Feature Development Vendor is willing to build bespoke features upon request. |
Vendor supports some custom/bespoke feature development per customer requests. | |
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Knowledge Base and Training Materials Comprehensive documentation and self-paced training content. |
Training materials and documentation are highlighted on Eagle's resources and onboarding. | |
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Onsite Training Vendor offers onsite workshops or training as part of onboarding. |
Onsite and remote training offered as part of large onboarding contracts. | |
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Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times. |
SLAs on support and system availability included in product specifications. | |
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User Community and Forums Active user groups and forums for community support. |
Web forums and community offerings available for Eagle users. | |
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Regular Product Updates Scheduled enhancement releases and security patching. |
Regular product updates and enhancements disclosed in client communications. | |
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Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards. |
Support for third-party and vendor certifications (e.g. SOC2, ISO) discussed in compliance docs. |
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