Provides access to curated alternative datasets including news analytics, social media sentiment, ESG data, and other non-traditional information sources. Includes tools for data integration, analytics, and visualization.
Tools that collect, process, and analyze non-traditional data sources such as satellite imagery, social media sentiment, credit card transactions, and mobile location data to generate investment insights not available from conventional sources.
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Number of Data Sources Total distinct alternative data sources (e.g., satellites, social, POS) the platform integrates. |
No information available | |
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Source Diversity Range of data types covered (e.g., geospatial, transactional, web-scraped, sensor data, etc.) |
No information available | |
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Data Source Transparency Level of disclosure around data origins and collection methods. |
Refinitiv documentation details data source origins and methodologies, demonstrating transparency. | |
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Coverage Geography Geographical breadth of alternative data (e.g., global, regional, local markets). |
No information available | |
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Historical Depth Amount of historical data available for backtesting and longitudinal analysis. |
No information available | |
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Source Update Frequency How often new data is ingested from sources. |
No information available | |
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Exclusive or Unique Sources Whether the platform provides access to otherwise unavailable/uncommon datasets. |
Some datasets are exclusive to Refinitiv or delivered through unique partnerships (e.g., special ESG signals). | |
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Source Verification Processes in place to verify data authenticity and quality. |
Refinitiv’s governance policies reference data vetting and source verification. | |
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Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
Compliance with user consent and global data regulations is highlighted in Refinitiv's legal documentation. | |
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Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
Real-time data feeds (news, social sentiment) are available for some sources per product page. | |
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Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Handles unstructured data such as news text, images (for some analytics products), and other non-tabular data. | |
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Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
Terms, including licensing clarity, are outlined in documentation and contracts. |
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Error Rate Frequency of data processing or reporting errors. |
No information available | |
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Missing Data Handling Systematic mitigation of gaps or missing values in data streams. |
Refinitiv describes systematic processes for handling missing and incomplete data in documentation. | |
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Data Normalization Standardization of datasets for ease of analysis. |
Data normalization and standardization are a key part of Refinitiv’s data delivery, as per technical docs. | |
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Data Granularity Level of detail available (e.g., hourly, daily, per store, per SKU). |
No information available | |
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Quality Assurance Processes Robustness of quality control and regular audits. |
Refinitiv runs regular quality audits as part of data operations, mentioned in compliance statements. | |
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Latency Time delay between data creation and its availability on the platform. |
No information available | |
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Deduplication Automated detection and removal of duplicate entries. |
Deduplication is referenced as part of their ETL and QA pipeline in technical product notes. | |
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Anomaly Detection System flags and explains outliers or errors in incoming data. |
Anomaly and outlier detection is highlighted for several alternative datasets (e.g., credit card data, sentiment). | |
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Imputation Techniques Advanced strategies for predicting and filling missing data. |
Imputation/filling techniques supported as part of data quality toolkit. | |
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Version Control Ability to track changes and updates to datasets for auditability. |
Detailed auditability/versioning is available for datasets and feed changes, as highlighted in developer portal. |
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Prebuilt Analytics Number of out-of-the-box analytical models or dashboards for typical investment use cases. |
No information available | |
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Custom Analysis Capability Ability to build custom models or queries on platform data. |
Custom queries/model development supported via API, DataScope Select, and Quantitative Research tools. | |
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Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
Correlation analysis with traditional metrics is available, per product use-case examples and API docs. | |
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Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
Backtesting supported using historical datasets through the Refinitiv Quantitative Research Platform. | |
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Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
Predictive modeling supported via ML/AI features in their research and analytics suite. | |
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Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
Textual/news sentiment analytics included. | |
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Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery). |
Spatial and entity-based analytics (e.g., asset locations, event mapping) available in some Refinitiv datasets. | |
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Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings. |
Real-time alerting for news, sentiment, and market events via platform. | |
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Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
Blending with conventional financial data (e.g., price, fundamentals) is a core product feature. | |
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Explainability of Models Features supporting interpretability of predictive signals and models. |
Supports explainability through dashboards, documentation, and model output explanations. | |
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Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
Designed for scalability, accommodates large financial and alternative datasets. |
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API Availability Provision of programmatic data and analytics access via APIs. |
Comprehensive API suite (REST, Python, Tick History, etc.) is publicly advertised. | |
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Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
Standard connectors to BI tools (e.g., Excel, PowerBI) and analytics platforms are mentioned. | |
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Bulk Data Export Support for exporting large batches of raw or processed data. |
Bulk and batch data export available via DataScope Select and other Refinitiv APIs. | |
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Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
Real-time data streaming and integration supported (e.g., Elektron feeds, web/WebSocket APIs). | |
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Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Integration with AWS, Azure, GCP storage available for enterprise clients. | |
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Role-Based Access Control Enables fine-grained access management for different organizational users. |
Role-based access control for user permissions mentioned in admin and product documents. | |
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User Interface Usability Intuitive and efficient user interface for analysts and developers. |
Interface redesigned with usability focus, positive analyst reviews. | |
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Mobile Access Functional accessibility from mobile devices (native apps or web). |
Mobile access via browser and custom app for alerts/news available. | |
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White-Labeling Possibility to customize the platform to align visually and functionally with client brand. |
White-label or custom-branded portals available for enterprise/institutional partners. | |
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SDK Availability Provision of software development kits for easier custom integration. |
No information available |
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Data Encryption Data stored and transmitted using modern cryptography standards. |
Refinitiv uses encryption in transit/storage as standard; confirmed in security documentation. | |
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Audit Logging Maintains a complete log of access and actions for compliance. |
Audit logs for compliance and traceability outlined under data governance features. | |
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Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
Holds relevant certifications (GDPR, CCPA, SOC2) per compliance statements on corporate site. | |
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User Access Controls Granular user and group-based permissioning on data and analytics. |
Granular access controls configurable at platform and API level. | |
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Penetration Testing Regular vulnerability/pentesting assessments are performed. |
Regular penetration tests and third-party security assessments referenced in InfoSec disclosures. | |
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Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
Strict privacy protections (removal of PII, anonymization) described in Trust Center and technical docs. | |
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Data Residency Options Ability to specify jurisdictions where data is stored or processed. |
Data residency options are offered for global customers to comply with local regulation. | |
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Third-party Data Sharing Controls Restrictions/controls over redistribution of consumed data. |
Data sharing and redistribution policies and controls described for clients. | |
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Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
Security notifications and incident alerts are part of the operational risk protocol. | |
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Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
Vendor supports due diligence with data on security, financial, and operational status. |
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Concurrent User Capacity Maximum number of active users supported simultaneously. |
No information available | |
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Query Response Time Median time taken to return analytics or data queries. |
No information available | |
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Data Ingestion Rate Volume of new data processed per unit of time. |
No information available | |
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Uptime SLA Service Level Agreement (SLA) on platform operational uptime. |
No information available | |
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Peak Data Storage Capacity Maximum volume of data the platform can host. |
No information available | |
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Elastic Compute Scaling Automatic scaling of compute resources to match workload. |
Elastic compute scaling available via cloud and enterprise options. | |
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Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
Supports parallel processing for analytic workloads; referenced in technical papers. | |
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Data Retention Policy Flexibility Configurable data storage retention periods. |
Customizable data retention and storage periods set per client/data type. | |
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Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
Platform offers dashboards and reports for monitoring performance/health. | |
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Batch Processing Support Efficient support for large batch data operations. |
Batch operations for large-scale data supported by DataScope Select and other tools. |
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Onboarding Support Personalized setup, initial training, and account configuration help. |
Refinitiv provides onboarding support, training guides, and account setup assistance. | |
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Knowledge Base Extensive searchable documentation and tutorials. |
Comprehensive searchable documentation and tutorial content available. | |
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Data Dictionary Comprehensive descriptions of each data field and its origin. |
Product includes full data dictionary, accessible from the developer portal. | |
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API Documentation Completeness Detail and clarity of technical integration guidelines. |
API documentation rated highly for completeness and clarity. | |
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Dedicated Account Management Assigned customer success managers for enterprise users. |
Dedicated account managers assigned to large/enterprise clients. | |
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Live Chat Support Immediate support via chat with platform staff. |
Offers live chat support via website and client portals. | |
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User Training Workshops Regularly scheduled or on-demand platform training. |
Workshops and custom training available for new/existing users. | |
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Community Forum User-to-user interaction and support hub. |
Active user community and support forums available for product discussion. | |
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Localization Support Availability in multiple languages and time zones. |
Product is localized in several languages and supports global time zones. | |
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Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
In-app and portal-based feature/issue feedback is supported. |
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Usage-Based Pricing Option for pricing tied to volume or levels of consumption. |
Refinitiv offers usage-based pricing for certain data feeds and tiers. | |
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Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
Tiered subscriptions and packages available by dataset/type/level. | |
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Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
Enterprise clients can negotiate custom agreements. | |
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Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
Clear fee structures listed before purchase. | |
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Free Trial Availability Short-term trial or demo use before commitment. |
Free trials or demo access for some datasets; confirmed via sales/support pages. | |
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Minimum Contract Term Shortest term for standard agreements. |
No information available | |
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Add-On Modules Pricing Clarity and flexibility of pricing for optional advanced modules. |
Separate pricing for specialized add-on modules (e.g., add ESG sentiment, advanced alerts). | |
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Early Termination Options Availability of low-penalty or pro-rata contract cancellation. |
Contract cancellation/early termination described under client agreements. | |
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Unlimited User Pricing Flat-rate pricing not tied to user count. |
No information available | |
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Nonprofit/Educational Discounts Special pricing for academic or nonprofit organizations. |
Academic/nonprofit pricing available; referenced in special initiatives and outreach. |
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Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
Users can build and save dashboards using available data and analytics modules. | |
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Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
Workflow automation achieved through API, alerts, and integration with external tools. | |
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Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
Custom/proprietary data can be uploaded and merged using enterprise API or direct engagement. | |
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Plugin/Extension Framework Ability to add modules/extensions for new functionalities. |
Supports plugin/extensions via select partner integrations (e.g., analytic add-ons). | |
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Scripting/Programming Interface Support for custom script development (e.g., Python, R APIs). |
Supports Python and other scripting/programming interfaces for advanced users. | |
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Theming/Branding Customization Visual customization for brand consistency. |
Branding/institutional theming available for enterprise solutions. | |
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Custom Reporting Design and automate custom report formats. |
Custom reporting tools included for specialized report design and automation. | |
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Alert Customization User-defined conditions and triggers for event-driven alerts. |
User-defined/custom alerting is supported for critical data changes. | |
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Integration with In-House Tools Ability for organization-specific connectors/modules. |
Supports integration with in-house systems for data & analytics. | |
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Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients. |
On-premises/VPC deployment available for high-security clients. |
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Years in Business How long the platform provider has operated. |
No information available | |
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Referenceable Clients Number of notable clients willing to provide references. |
No information available | |
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Third-Party Reviews Number and quality of external analyst or customer reviews. |
No information available | |
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Legal Disputes Disclosed History of significant legal action or unresolved disputes. |
Not as far as we are aware.* No major or unresolved legal disputes disclosed in public filings; LSEG is a highly regulated public entity. | |
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Financial Transparency Annual financial reporting or third-party audits available. |
Annual financial statements and audits publicly disclosed (as part of LSEG, parent co.). | |
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Industry Partnerships Participation in alliances or consortia that enhance credibility. |
Active partnerships with financial institutions, fintech associations, ESG alliances, and more. | |
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Churn Rate Percentage of clients discontinuing service per year. |
No information available | |
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Client Growth Rate Annual increase in platform users or logos. |
No information available | |
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Awards/Industry Recognition Recognition by reputable industry organizations. |
Refinitiv/LSEG regularly receives awards from industry analyst and fintech organizations. | |
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Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
Maintains business continuity and disaster recovery plans; referenced in enterprise documentation. |
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AI/ML Model Upgrades Frequency of innovation or upgrades in analytic and predictive engines. |
No information available | |
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New Data Source Integration Rate How quickly new alternative data sources are made available to users. |
No information available | |
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Participates in Data Consortiums Active member of data-sharing or standards organizations. |
Active in various industry and tech consortiums. | |
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Visualization Innovation Frequency of new or advanced visualization techniques introduced. |
No information available | |
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Beta Testing/Client Feature Input Mechanisms for early adopter programs or client-driven roadmap. |
Early adopter and client input programs exist for roadmap development. | |
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Academic Collaborations Partnerships with universities for applied research. |
Research partnerships with academic institutions cited in marketing and disclosures. | |
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Open Data Initiatives Support or contribution to open alternative data/tech communities. |
Contributions to open data and technology initiatives; see ESG data and open analytics community posts. | |
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Data Science Sandbox Environment for clients to experiment with new data and analytics. |
Sandbox/testing environment available for data scientists and institutional clients. | |
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API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
API versioning, release track, and roadmap information is available via developer portal and client channels. | |
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Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Offers ESG, crypto, and cross-asset data alongside more traditional datasets. |
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