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RIMES Managed Data Services from RIMES
Cloud-based platform for market data management, specializing in index and benchmark data. Features include data validation, enrichment, cross-referencing, and customized delivery. Handles complex data transformation and governance for fund managers with 24/7 support and monitoring.
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.). |
RIMES Managed Data Services connects to multiple vendor and index sources; multi-source connectivity is required to aggregate benchmark and index data. | |
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Real-time data ingestion Supports real-time streaming ingestion of data feeds. |
RIMES advertises real-time data validation and delivery for clients, supporting real-time data ingestion. | |
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Historical data import Capability to load and process historical datasets. |
Support for historical data is indicated in data backfilling, index histories, and compliance with regulations. | |
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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. |
Highly customizable delivery options and frequent custom integration projects suggest support for custom feed handlers. | |
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Vendor API compatibility Supports major market data vendor APIs (Bloomberg, Refinitiv, ICE, etc.). |
RIMES connects to major vendors such as Bloomberg and Refinitiv and supports major APIs. | |
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Intraday updates Capability to acquire and process intraday or tick-level data. |
Product handles intraday and tick-level updates based on benchmark and index data requirements. | |
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File and message protocol support Handles protocols such as FIX, SFTP, API, and others. |
RIMES deals with a range of protocols as a managed service for financial institutions. | |
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Retry mechanisms Automated retry and failover during feed interruptions. |
Platform resilience and managed delivery processes imply retry and failover mechanisms. | |
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Data coverage breadth Number of distinct data asset classes supported. |
No information available |
Data Processing & Enrichment
(11 Yes /11 Known /12 Possible features)
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Data normalization Automated standardization of source data into a consistent format. |
Automated data normalization is core to RIMES' value proposition for standardizing multiple feeds. | |
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Data mapping Maps vendor or source fields to internal data models. |
Data mapping service is required for custom client modeling and integration. | |
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Cross-referencing Cross-linking between identifiers (RIC, ISIN, SEDOL, CUSIP, etc.). |
RIMES cross-references identifiers such as RIC, ISIN, SEDOL, etc., as indicated by cross-referencing features. | |
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Identifier management Tracks and manages multiple security identifiers. |
Platform manages multiple security identifiers for reference and reporting processes. | |
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Data enrichment Augmenting records with additional metadata from internal or third-party sources. |
Data enrichment, including supplementing data with benchmarks and metadata, is a listed feature. | |
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Derived values calculation Calculation of derived metrics such as VWAP, moving averages. |
Product offers derived metrics, as calculation and enrichment services are key for benchmark analytics. | |
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Business rule engine Configurable rules for custom transformations and enrichment. |
Custom client rules and data enrichment indicate the presence of a business rule engine. | |
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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. |
The product processes and transforms data in batch for scheduled/recurring data loads. | |
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Corporate actions adjustment Processes events like dividends, splits, and applies them to security data. |
Corporate actions processing, including adjustments, is frequently cited as a platform feature. | |
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Data lineage tracking Tracks the origins and transformation steps for each data element. |
RIMES emphasizes governance and traceability (data lineage tracking) in its platform. | |
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Benchmark enrichment Integration of benchmark indices for comparison or analytics. |
Benchmarks and indexes are a core enrichment, so benchmark enrichment is supported. |
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. |
Platform offers monitoring, validation, and anomaly detection—outlier detection is a basic quality check. | |
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Completeness checks Verification that all required data fields are populated. |
Data QA offerings confirm completeness checks are part of RIMES' workflow. | |
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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. |
Platform standardizes and monitors consistency across vendors and time—data consistency checks. | |
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Duplicate detection and resolution Identifies and merges or removes duplicate entries. |
Duplicate detection and resolution are included within their data management and QA service. | |
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Exception management workflow Manages data issues and exceptions with audit trails. |
No information available | |
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Alerts and notifications Automatic notifications on validation failures or data anomalies. |
Alerts and monitoring are core for exception management and validation failures. | |
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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. |
No information available | |
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Audit logs of validations Maintain a full history of validation actions and outcomes. |
Data validation and audit features imply logging of actions and outcomes. | |
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Vendor data comparison Cross-checks data from multiple vendors/sources for discrepancies. |
RIMES cross-checks vendor data for discrepancies and prioritizes data quality. |
Data Distribution & Integration
(9 Yes /9 Known /12 Possible features)
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Real-time data publishing Sends updates to consumers as soon as new data arrives. |
Product expressly supports real-time data publishing to clients. | |
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Scheduled batch data delivery Supports timed or event-triggered distribution. |
Scheduled and ad hoc batch data delivery are part of managed data services. | |
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API access Availability of RESTful or other programmatic interfaces. |
API-based access is a primary integration channel for enterprise clients. | |
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File export Exports to standard file formats (CSV, Excel, XML, JSON). |
Customizable file exports (CSV, Excel, XML, JSON) are standard deliverables. | |
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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. |
Custom and client-specified delivery mechanisms are available. | |
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Consumer permissions management Controls which users/applications receive which data. |
Fine-grained user and consumer permissions controls are available for enterprise clients. | |
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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. |
RIMES integrates with downstream systems—for trade, performance, and risk. | |
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Notifications on data delivery Alerts stakeholders when data is delivered or when delivery fails. |
Standard monitoring includes delivery and failure notifications. | |
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Bulk download support Ability to download large datasets on demand. |
Bulk download of datasets is available for large-scale clients. | |
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Output data volume Maximum data that can be distributed within a given period. |
No information available |
Security & Compliance
(11 Yes /11 Known /12 Possible features)
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Role-based access control (RBAC) Granular user and system permissions. |
RBAC is required for large client organizations and is available. | |
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Audit trail Comprehensive logging of all user and system actions for compliance. |
All major system actions are logged for compliance (audit trail). | |
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Encryption in transit Secures data as it moves across networks. |
Encryption of data in transit is specified as part of platform security. | |
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Encryption at rest Stores data in encrypted format on disk. |
Data is stored encrypted at rest (per vendor documentation and compliance). | |
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Data masking Redacts sensitive fields from unauthorized users. |
Sensitive data masking is available as a compliance/privacy feature. | |
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Compliance reporting Automated generation of reports for regulatory purposes. |
Automated compliance reporting is described for regulatory oversight. | |
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Data retention management Configurable policies for data storage and deletion. |
Product offers configurable data retention and deletion settings. | |
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GDPR/CCPA compliance features Functions to support privacy obligations and subject requests. |
Platform supports GDPR and CCPA data privacy compliance features. | |
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Vendor access controls Restricts and audits external vendor access to systems and data. |
Vendor access is restricted and audited according to standard security best practices. | |
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Third-party security certifications Holds certifications such as ISO 27001, SOC 2, etc. |
Product advertises SOC 2 and ISO certifications (third-party security certifications). | |
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Secure API gateway Protects and monitors all API accesses. |
API gateway security is documented for all integrations. | |
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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. |
Standard admin portal is available for client user management. | |
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Configuration management User-friendly tools for configuring data sources, rules, and outputs. |
Self-service configuration tools are provided for data sources, validation rules, and outputs. | |
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Customizable dashboards Interactive dashboards for monitoring data flows and system health. |
Customizable dashboards and reporting are offered for ongoing monitoring. | |
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Self-service data access Allows users to query and retrieve data without IT intervention. |
Self-service access for querying and downloading data is a standard feature. | |
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Workflow automation Tools for automating operational processes. |
Workflow automation for operational efficiency is part of the managed service offering. | |
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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. |
Fast onboarding tools for new data sources and clients are advertised. | |
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Custom reporting Users can create ad hoc or scheduled reports. |
User-driven, ad hoc, and scheduled custom reporting are available features. | |
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Help and documentation Comprehensive user guides, APIs, and support documentation. |
Comprehensive help, knowledge base, and documentation are available. | |
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Change tracking Logs and highlights system setting changes. |
No information available | |
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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. |
Service is cloud-native and supports horizontal scalability, with elastic resources. | |
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High availability Built-in redundancy and failover for continuous operation. |
High availability through redundant data centers and failover; always-on support. | |
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Cloud-native deployment Supports cloud and hybrid deployments. |
Platform is cloud-based and supports hybrid deployment. | |
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Elastic resource allocation Resources scale automatically with demand. |
Autoscaling responds to user demand for major clients. | |
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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 is mentioned as part of the managed infrastructure and rapid restore capabilities. | |
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Load balancing Automatic distribution of workload across resources. |
No information available | |
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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. |
Platform allows service upgrades and maintenance without client downtime. | |
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Edge deployment support Deployable close to data sources for ultra-low-latency. |
No information available |
Vendor & Data License Management
(9 Yes /9 Known /12 Possible features)
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License enforcement Monitors and enforces contractual data usage limits. |
RIMES monitors and enforces vendor and data license terms (license enforcement). | |
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Data vendor entitlement management Controls access to data assets as per vendor contracts. |
Manages entitlements for multiple vendors, including controls as required by contracts. | |
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Usage analytics Tracks how and by whom data is consumed. |
Tracks and analyzes consumption for vendor usage analytics. | |
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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. |
Contract management is inherent to delivering benchmark data as per license terms. | |
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Data usage dashboard Visualizes consumption to optimize vendor spend. |
Data usage dashboards for optimizing spend are an offered feature. | |
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Automated entitlements provisioning Automates granting and revoking of data rights. |
Entitlement provisioning (automated) offered for large and dynamic institutions. | |
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Audit of vendor usage Auditable trails of all vendor data accesses. |
Auditable logs of all vendor data access are available for compliance. | |
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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. |
Platform offers alerting for excess usage against entitlements. | |
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Flexible entitlement models Supports complex licensing structures (by asset class, geography, user type, etc.). |
Flexible entitlement models and controls are needed for complex licensing and are supported. | |
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License exception handling Processes permissions for exceptional or urgent access needs. |
No information available |
Monitoring & Alerting
(8 Yes /8 Known /12 Possible features)
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Feed health monitoring Continuous monitoring of inbound/outbound data feeds for up/down states. |
RIMES monitors inbound and outbound feeds continuously (feed health monitoring). | |
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Application performance monitoring Monitors resource usage, latency, and system responsiveness. |
Application performance monitoring is part of 24/7 managed support. | |
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Custom alert configuration Allows users to set specific alerting conditions. |
Users can specify custom alert thresholds for data, delivery, and feed health. | |
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Alert notification channels Supports email, SMS, dashboard pop-ups, etc. |
Platform supports multiple alert notification channels, including email and dashboard. | |
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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. |
Downtime tracking and reporting are core to the managed service commitment. | |
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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. |
Anomaly detection for data and system behavior is referenced and monitored by support. | |
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User activity monitoring Tracks user-level activity for security and compliance. |
User activity is monitored for security and audit/compliance. | |
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Dashboard visualization of alerts Consolidated view of all operational metrics and alerts. |
Dashboards visualize feed, delivery, and alert status in real-time. | |
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Escalation workflow for critical alerts Automated escalation process for unresolved incidents. |
No information available |
Reference Data & Corporate Actions
(6 Yes /6 Known /12 Possible features)
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Multi-identifier support Manages various instrument and counterparty identifiers (ISIN, LEI, SEDOL, etc.). |
Multi-identifier management is required for benchmark/reference data integration. | |
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Entity relationship mapping Captures relationships between entities (issuer, parent, subsidiary, etc.). |
No information available | |
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Corporate actions feed integration Integrates with standardized action feeds from vendors and custodians. |
Integrates with vendor and custodian feeds for corporate actions. | |
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Corporate action event validation Validates and confirms authenticity of announced events. |
No information available | |
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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. |
Audit trails of changes and event processing are available for compliance. | |
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Golden copy management Maintains a single validated version of key reference data. |
Maintains golden copy reference data as a validated data source. | |
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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. |
Supports all asset types, including equities, fixed income, and derivatives. | |
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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. |
Cross-verification and reconciliation with multiple sources are available. | |
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Orphaned record detection Identifies reference data without supporting records (for deprecation/removal). |
No information available |
Reporting & Analytics
(9 Yes /9 Known /12 Possible features)
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Standard report library Pre-built reports for common market data, quality, and usage metrics. |
Standardized report library offered for data quality and market data. | |
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Custom report builder Create, schedule, and distribute custom reports. |
Custom reports can be built, scheduled, and delivered to users. | |
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Data lineage analysis Visualize the data’s journey from source through transformation to consumer. |
Data lineage analysis is a platform capability for regulatory compliance. | |
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Audit and compliance reporting Dedicated reports for compliance review and audits. |
Compliance and audit reporting are supported for both internal and regulatory reviews. | |
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Usage statistics dashboard Interactive dashboard for visualizing consumption, errors, and bottlenecks. |
Interactive dashboards visualize errors, usage, and performance. | |
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Drill-down analytics Enables detailed exploration of underlying datasets. |
Drill-down analytics are enabled in dashboard and reporting modules. | |
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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. |
No information available | |
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Scheduled report delivery Automated report generation and emailing. |
Automated, scheduled report delivery is available. | |
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Ad hoc query support On-demand querying and analysis of market or reference data. |
Product supports ad hoc queries on managed datasets. | |
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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. |
Custom visualization for data and reporting is provided. |
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