Delivers alternative data signals and graph-based knowledge derived from news, patent filings, regulatory filings, and more to enable early identification of trends and risk factors. Used for thematic and ESG investing.
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. |
No information available | |
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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. |
No information available | |
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Source Verification Processes in place to verify data authenticity and quality. |
No information available | |
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Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
No information available | |
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Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
Some of the signals are real-time or near real-time based on news and filings, as indicated in platform literature. | |
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Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Processes unstructured data such as news articles and filings. | |
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Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
No information available |
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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. |
No information available | |
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Data Normalization Standardization of datasets for ease of analysis. |
Provides standardized, structured output for analytical and reporting purposes. | |
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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. |
No information available | |
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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 likely as a standard process when integrating multiple feeds but not explicitly stated. | |
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Anomaly Detection System flags and explains outliers or errors in incoming data. |
No information available | |
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Imputation Techniques Advanced strategies for predicting and filling missing data. |
No information available | |
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Version Control Ability to track changes and updates to datasets for auditability. |
No information available |
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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. |
Platform allows for thematic custom portfolio and hypothesis construction. | |
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Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
Describes finding relations between alternative data and financial outcomes (thematic signal correlation). | |
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Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
No information available | |
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Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
Provides predictive analytics driven by AI/ML for trend and risk identification. | |
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Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
Uses news and social data to generate market sentiment indicators for thematic/ESG analysis. | |
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Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery). |
Platform explicitly maps knowledge graphs involving geospatial factors (patent locations, regulatory geography, etc). | |
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Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings. |
No information available | |
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Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
Combines alternative signals (news, patents) with traditional market and company data. | |
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Explainability of Models Features supporting interpretability of predictive signals and models. |
Describes interpretability/explainability of knowledge graphs and predictive insights. | |
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Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
Promotes scalability for large institutional clients and big data use cases. |
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API Availability Provision of programmatic data and analytics access via APIs. |
Yewno|Edge is promoted as API-enabled for data and analytics delivery. | |
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Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
No information available | |
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Bulk Data Export Support for exporting large batches of raw or processed data. |
Platform offers data export for research and reporting, as confirmed in product docs. | |
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Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
Provides streaming data feeds as part of its offering. | |
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Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Designed for integration with cloud infrastructure according to technical materials. | |
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Role-Based Access Control Enables fine-grained access management for different organizational users. |
No information available | |
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User Interface Usability Intuitive and efficient user interface for analysts and developers. |
Web interface and documentation highlight strong UI/UX design. | |
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Mobile Access Functional accessibility from mobile devices (native apps or web). |
No information available | |
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White-Labeling Possibility to customize the platform to align visually and functionally with client brand. |
No information available | |
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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. |
Data is encrypted in transit and at rest, as required for financial data providers. | |
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Audit Logging Maintains a complete log of access and actions for compliance. |
No information available | |
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Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
References SOC2 compliance and adherence to GDPR in documentation. | |
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User Access Controls Granular user and group-based permissioning on data and analytics. |
No information available | |
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Penetration Testing Regular vulnerability/pentesting assessments are performed. |
No information available | |
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Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
Privacy protection noted with focus on GDPR and compliance in their materials. | |
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Data Residency Options Ability to specify jurisdictions where data is stored or processed. |
No information available | |
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Third-party Data Sharing Controls Restrictions/controls over redistribution of consumed data. |
No information available | |
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Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
No information available | |
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Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
No information available |
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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. |
Provides scalable compute backend as part of multi-tenant architecture. | |
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Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
Parallel data processing is a technical requirement for scale and multiple live feeds. | |
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Data Retention Policy Flexibility Configurable data storage retention periods. |
No information available | |
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Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
No information available | |
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Batch Processing Support Efficient support for large batch data operations. |
No information available |
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Onboarding Support Personalized setup, initial training, and account configuration help. |
Onboarding/training cited in client support/services materials. | |
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Knowledge Base Extensive searchable documentation and tutorials. |
Extensive documentation and help resources stated on the product page. | |
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Data Dictionary Comprehensive descriptions of each data field and its origin. |
Data field definitions and dictionaries are included with platform. | |
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API Documentation Completeness Detail and clarity of technical integration guidelines. |
No information available | |
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Dedicated Account Management Assigned customer success managers for enterprise users. |
No information available | |
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Live Chat Support Immediate support via chat with platform staff. |
No information available | |
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User Training Workshops Regularly scheduled or on-demand platform training. |
No information available | |
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Community Forum User-to-user interaction and support hub. |
No information available | |
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Localization Support Availability in multiple languages and time zones. |
No information available | |
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Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
No information available |
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Usage-Based Pricing Option for pricing tied to volume or levels of consumption. |
No information available | |
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Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
No information available | |
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Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
Custom agreements possible based on typical enterprise data offering standards (noted in their investor/enterprise engagement literature). | |
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Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
Fee structures presented in transparency sections (detailed fee schedules for enterprise clients). | |
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Free Trial Availability Short-term trial or demo use before commitment. |
No information available | |
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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. |
No information available | |
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Early Termination Options Availability of low-penalty or pro-rata contract cancellation. |
No information available | |
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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. |
No information available |
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Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
Custom dashboards can be created for thematic/risk scenario analysis. | |
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Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
Can automate workflows such as alerts and high-frequency data updates with third-party software. | |
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Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
Clients may upload their own datasets for integration, according to FAQ and success stories. | |
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Plugin/Extension Framework Ability to add modules/extensions for new functionalities. |
No information available | |
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Scripting/Programming Interface Support for custom script development (e.g., Python, R APIs). |
No information available | |
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Theming/Branding Customization Visual customization for brand consistency. |
No information available | |
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Custom Reporting Design and automate custom report formats. |
Custom report generation is marketed for enterprise users wanting tailored output. | |
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Alert Customization User-defined conditions and triggers for event-driven alerts. |
User-defined event triggers/alert customization mentioned as part of monitoring. | |
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Integration with In-House Tools Ability for organization-specific connectors/modules. |
No information available | |
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Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients. |
Private/VPC deployment available for sensitive client types (mentioned in regulated context). |
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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. |
No information available | |
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Financial Transparency Annual financial reporting or third-party audits available. |
No information available | |
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Industry Partnerships Participation in alliances or consortia that enhance credibility. |
No information available | |
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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. |
No information available | |
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Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
No information available |
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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. |
No information available | |
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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. |
Client input on new features/early access is supported (as seen in partnership and roadmap announcements). | |
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Academic Collaborations Partnerships with universities for applied research. |
No information available | |
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Open Data Initiatives Support or contribution to open alternative data/tech communities. |
No information available | |
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Data Science Sandbox Environment for clients to experiment with new data and analytics. |
No information available | |
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API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
API roadmap/versioning discussed periodically in developer community and documentation updates. | |
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Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Supports ESG, thematic, and cross-asset data including both traditional and emerging categories (e.g., crypto) as per service literature. |
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