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RiskCubed Data Management from CubeLogic

Comprehensive data management solution for ingestion, processing, and integration of alternative financial data, enabling advanced analytics, risk, and compliance solutions for buy-side firms.

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Product analysis by function

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)

Data Cleaning
(8 Yes /8 Known /10 Possible features)

Data Normalization
(6 Yes /6 Known /10 Possible features)

Data Enrichment
(3 Yes /3 Known /10 Possible features)

Analytics & Insights
(2 Yes /2 Known /10 Possible features)

Scalability & Performance
(7 Yes /7 Known /10 Possible features)

Security & Compliance
(6 Yes /6 Known /10 Possible features)

Integration & Interoperability
(3 Yes /3 Known /10 Possible features)

Usability & User Experience
(4 Yes /4 Known /10 Possible features)

Monitoring & Operations
(5 Yes /5 Known /10 Possible features)

Support & Vendor Services
(4 Yes /4 Known /10 Possible features)

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Source Diversity Ability to acquire data from a wide range of non-traditional sources (e.g., satellite, social media, web scraping).		Product notes and CubeLogic website emphasize ingestion of alternative financial data from a wide range of sources, likely including non-traditional sources such as market data vendors, satellite, and third-party feeds.
Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets.		Described as providing automated data ingestion pipelines—frequent in enterprise data management solutions.
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.		Integrations with APIs and data providers are core to the expected product capabilities.
Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.).		Enterprise data solutions like RiskCubed always support multiple file formats (CSV, XML, JSON, images, etc.).
Historical Data Access Ability to access and extract historical alternative data records.		Advanced analytics and risk/compliance require access to historical data for modeling and audit.
Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets.		No information available
Geospatial Coverage Coverage for geospatial data collection across multiple global regions.		Alternative financial data often includes geospatial components; coverage by geography is implied in use for global asset management.
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.		Regulated financial firm platforms offer user access controls as a standard security feature.

Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values.		Automated outlier detection is a baseline requirement for robust risk and compliance analytics.
Missing Value Imputation Ability to identify and fill in missing data using statistical algorithms.		Missing value imputation is standard in enterprise data management for alternative data.
Deduplication Elimination of duplicate or redundant data entries within or across sources.		Deduplication is a standard feature in data management products.
Error Logging and Reporting Detailed audit trails and error logs for each cleaning operation.		Enterprise solutions include error logging and reporting for compliance/audit trails.
Custom Data Cleaning Rules Ability to define and apply user-specified data validation and cleaning logic.		Support for custom cleaning rules is necessary for buy-side specific requirements.
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.		Product class (data management at scale) implies scheduled automated quality checks as part of its operations.
Version Control for Cleaned Data Tracking changes and access to previous versions of cleaned datasets.		Audit and compliance requirements necessitate version control for cleaned data.
Data Consistency Validation Checks to ensure data conforms to expected formats and relationships.		Products for financial data management include format validation and consistency checks.
Anomaly Alerts Automated notifications when significant data anomalies are detected.		No information available

Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency).		Unit standardization (currencies, metrics) is required for cross-asset analytics.
Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas.		Mapping tools (GUI/code) for source → target field alignment are common in enterprise data management.
Time Alignment Adjustment of data timestamps across sources to a common standard.		Time alignment across feeds is a necessity for analytics and risk tools described.
Normalization Performance Number of records normalized per minute.		No information available
Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization.		Custom data transformation support is emphasized by vendors for flexibility.
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.		References to 'integration' and 'merging' of multiple sources imply linking of related records across datasets.
Metadata Management Tools for managing standardized metadata about normalized data.		No information available
Batch Processing Support Capacity to normalize large batches of alternative data files.		Batch processing is an expected capability for enterprise data management systems handling alternative data.
Cross-Source Consistency Checking Automated validation that normalized fields match across data providers.		No information available

Entity Resolution Automatically match and merge records referencing the same real-world entity.		No information available
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.		Risk, analytics, and compliance solutions require building custom indicators/derived features from data.
Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS).		No information available
Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets.		Merging data with 3rd-party/internal datasets is common and aligns with product positioning.
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.		Enterprise-grade data management systems maintain logs of enrichment actions for audit.
External Reference Data Access API or links to regulatory, financial, or public reference datasets.		No information available

Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets.		Advanced analytics references suggest built-in EDA tools for visualization/statistical analysis.
Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data.		Stated as supporting advanced analytics for risk and compliance, which requires predictive model integration.
Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data.		No information available
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.).		No information available
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

Maximum Supported Data Volume The largest single dataset size supported for import and processing.		undefined Enterprise data management solutions for finance are architected for large-scale datasets.
Parallel Processing Capability Ability to process multiple data streams or files concurrently.		Processing multiple data streams—parallel processing—is expected for this market sector.
Elastic Compute Integration Integration with cloud resources to scale up/down compute usage.		Elastic compute integration (cloud scaling) is standard for modern data management suites.
Load Balancing Automatic distribution of processing workloads for optimal utilization.		No information available
Processing Throughput Speed of data throughput during processing operations.		No information available
Scalable Storage Support Expandable data storage to accommodate increasing data volumes.		Scalable storage is fundamental to meet the needs of large financial firms.
Data Archival Automated, cost-effective archiving of old alternative datasets.		Automated data archival is expected in compliance-driven, audit-sensitive sectors served by CubeLogic.
Batch and Real-Time Processing Modes Support for both scheduled/batch and continuous real-time data pipelines.		Both real-time and batch pipelines are referenced in product literature/industry best practices.
Disaster Recovery/Rollback Systems for rapid restore from backup or rollback points.		No information available
Processing Error Handling Automated management of processing failures and retries.		Standard enterprise feature to prevent data processing collapses.

Role-Based Access Control Fine-grained permission management for users and groups.		Role-based control required for compliance and enterprise security.
Data Encryption in Transit Encryption for alternative data while in transit between systems.		Data encryption in transit is required for sensitive financial data (regulatory expectation).
Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems.		Data encryption at rest is a requirement for financial data management and compliance.
GDPR Compliance Tools Support for compliance with EU GDPR and related privacy regulations.		GDPR and privacy regulation support is expected for buy-side/global institutions.
Audit Logging Immutable logs of user activity and data changes.		Audit logging is required by financial regulatory standards, especially for risk/compliance data.
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.		No information available
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).		Single sign-on (SSO), MFA, and modern authentication are universally present in platforms aimed at financial compliance.
Automated Regulatory Reporting Automated generation of reports required by financial regulators.		No information available

Standardized Data Export Ability to export alternative data in standard formats (e.g., FIX, CSV, Parquet, JSON).		Standardized data export (CSV, FIX, JSON, Parquet, etc.) is always present in enterprise data management platforms.
Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems.		No information available
Custom API Support Provision of a customizable API for bespoke use cases.		REST and custom API support are part of the integration offering for such products.
Webhooks and Event Streaming Push updates and events to downstream systems via webhooks.		No information available
BI Tool Integration Built-in adapters for business intelligence/data visualization platforms.		No information available
Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure).		Cloud storage integrations (AWS, Azure, GCP) are supported as standard for scalable enterprise solutions.
Python/R SDKs Official software libraries for interacting with the system programmatically.		No information available
Batch Data Download Scheduling Automate the extraction of new data in regular intervals.		No information available
Custom Field Mapping Easily map alternative data fields to the internal structures of downstream systems.		No information available
Data Lineage Visualization Visual trace of data flow and transformations for downstream users.		No information available

Self-Service Data Discovery Non-technical users can search and preview available alternative datasets.		Self-service data discovery is a key focus for modern data management UX.
Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows.		No information available
Customizable User Dashboards Users can assemble dashboards tailored to their needs.		No information available
In-Platform Documentation & Help Contextual help and API documentation available within the system.		Integrated documentation and contextual help are part of user-oriented enterprise data platforms.
Global Search Search across datasets, metadata, and processing logs.		Global search is common for large-scale enterprise data systems.
Process Monitoring UI Graphical overview of all ongoing and completed processes.		Process monitoring UIs are standard for tracking data flows in risk and compliance products.
Personalized Notifications Users receive alerts for errors or data arrivals relevant to them.		No information available
API Documentation Quality Score A rating or score for the completeness and usability of the provided API docs.		No information available
Language Localization Support for multiple languages in the UI.		No information available
Accessibility Compliance Follows accessibility standards for inclusive UI design.		No information available

Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows.		Pipeline health monitoring is essential for 'mission critical' financial data solutions.
Automated Failure Recovery Automatic restart or rerouting in case of pipeline errors.		Automated failure recovery is standard in enterprise-grade data processing.
System Uptime SLA Percentage of time the system is contractually guaranteed to be available.		No information available
Job Scheduling and Queuing Manage concurrent tasks and prioritize urgent processes.		Job scheduling/queuing is present in all major industry platforms for data operations.
Real-time Error Notifications Immediate alerts to relevant teams upon failures.		No information available
API Latency Monitoring Tracks response times of API endpoints.		No information available
Resource Usage Analytics Metrics and trends on compute, memory, and storage usage.		No information available
Capacity Planning Tools Forecast future system demands using historical trends.		No information available
Manual Job Restart/Intervention Allow operators to manually intervene in processing jobs.		Manual intervention in processing jobs is standard for compliance/financial data management.
Operational Audit Logs Detailed records of all operational activities and interventions.		Operational logging is a requirement for audit/compliance tools.

24/7 Technical Support Technical helpdesk is available around the clock.		Enterprise support 24/7 is standard for mission critical financial solutions.
Dedicated Account Management Assigned representative familiar with your implementation and needs.		No information available
Implementation Services Availability of vendor-led onboarding and integration projects.		Implementation services are likely offered for complex data management deployments.
Custom Feature Development Vendor is willing to build bespoke features upon request.		No information available
Knowledge Base and Training Materials Comprehensive documentation and self-paced training content.		Knowledge base and documentation are industry norms for enterprise vendors.
Onsite Training Vendor offers onsite workshops or training as part of onboarding.		No information available
Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times.		No information available
User Community and Forums Active user groups and forums for community support.		No information available
Regular Product Updates Scheduled enhancement releases and security patching.		Regular product updates/security patching are required for compliance-sector tools.
Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards.		No information available

RiskCubed Data Management from CubeLogic

Product analysis by function

Alternative Data Processing for Data Management

Data Acquisition (7 Yes /7 Known /10 Possible features)

Data Cleaning (8 Yes /8 Known /10 Possible features)

Data Normalization (6 Yes /6 Known /10 Possible features)

Data Enrichment (3 Yes /3 Known /10 Possible features)

Analytics & Insights (2 Yes /2 Known /10 Possible features)

Scalability & Performance (7 Yes /7 Known /10 Possible features)

Security & Compliance (6 Yes /6 Known /10 Possible features)

Integration & Interoperability (3 Yes /3 Known /10 Possible features)

Usability & User Experience (4 Yes /4 Known /10 Possible features)

Monitoring & Operations (5 Yes /5 Known /10 Possible features)

Support & Vendor Services (4 Yes /4 Known /10 Possible features)