at Financial Technnology Year
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Alyx Data Analytics Platform from Alyx
Integrates various sources of alternative data to provide insights, model predictions, and performance analytics tailored for hedge funds and institutional investors.
Product analysis by function
Alternative Data Platforms for Investment Research & Analysis
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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Data Coverage & Sources
(7 Yes /7 Known /12 Possible features)
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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. |
Marketing outlines clear documentation of data origin and collection method per dataset. | |
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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. |
Supports some exclusive sources (e.g., proprietary credit/loan portfolio data), mentioned on datasheet. | |
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Source Verification Processes in place to verify data authenticity and quality. |
Site details automated and manual data quality checks including source verification steps. | |
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Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
GDPR/CCPA and user consent mentioned repeatedly in marketing collateral. | |
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Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
Real-time and intraday feed support emphasized for point-of-sale and web traffic sources. | |
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Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Explicit support for ingestion of unstructured text (news, social), images (satellite, shop photos). | |
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Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
Publicly available sample licenses and T&Cs for most data products. |
Data Quality & Integrity
(7 Yes /7 Known /10 Possible features)
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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. |
Discusses robust automated and manual protocols for missing and inconsistent data; describes interpolation and ML gap-filling. | |
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Data Normalization Standardization of datasets for ease of analysis. |
Standardization and normalization routines highlighted as core functionality. | |
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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. |
References to ISO/IEC quality standards and regular QA reviews. | |
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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. |
Automatic deduplication described as standard data hygiene step. | |
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Anomaly Detection System flags and explains outliers or errors in incoming data. |
ML-driven anomaly and outlier flagging referenced in multiple technical documents. | |
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Imputation Techniques Advanced strategies for predicting and filling missing data. |
Imputation strategies using ML stated as available in data engineering pipeline. | |
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Version Control Ability to track changes and updates to datasets for auditability. |
Changelog and timestamped dataset versioning referenced as part of audit support. |
Analytics & Insight Generation
(10 Yes /10 Known /11 Possible features)
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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. |
Developer sandbox and SQL/Python advanced query environment described. | |
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Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
Correlation matrix generation and scatterplots demonstrated in product tour. | |
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Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
Integrated historical backtesting suite mentioned in product demo videos. | |
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Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
Machine learning forecasting and AI module screenshots published. | |
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Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
Sentiment scoring from news/social covered in product documentation. | |
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Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery). |
Geospatial analytics (e.g., satellite, geolocation) marketed as a differentiator. | |
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Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings. |
Described alerting for major events and anomalies as a core feature for portfolio management. | |
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Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
Explicit mention of blended analysis using alternative and conventional datasets. | |
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Explainability of Models Features supporting interpretability of predictive signals and models. |
Model explainability and variable exposure charts included in AI model module. | |
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Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
Reference to scalable distributed analytics for large data; case studies cite multi-billion record processing. |
Integration & Accessibility
(7 Yes /7 Known /10 Possible features)
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API Availability Provision of programmatic data and analytics access via APIs. |
REST and streaming APIs provided; API documentation section on website. | |
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Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
Connectors to Tableau, PowerBI, and Excel available. | |
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Bulk Data Export Support for exporting large batches of raw or processed data. |
Bulk CSV/JSON/XLSX export described in interface walkthrough. | |
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Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
Kafka/Streaming event integration available for real-time dashboards. | |
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Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Integration guides for AWS S3, Azure Blob, GCP Cloud Storage present. | |
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Role-Based Access Control Enables fine-grained access management for different organizational users. |
Role-based access management referenced. | |
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User Interface Usability Intuitive and efficient user interface for analysts and developers. |
UI is web-based and demo videos show efficient navigation and search. | |
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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 |
Security & Compliance
(9 Yes /9 Known /10 Possible features)
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Data Encryption Data stored and transmitted using modern cryptography standards. |
Encryption at rest and in transit (AES-256, TLS 1.2+) stated under security standards. | |
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Audit Logging Maintains a complete log of access and actions for compliance. |
References to audit logs for data access and changes. | |
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Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
SOC2 Type II mentioned; GDPR/CCPA, possible ISO27001 based on compliance materials. | |
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User Access Controls Granular user and group-based permissioning on data and analytics. |
RBAC and administrative controls detailed in documentation. | |
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Penetration Testing Regular vulnerability/pentesting assessments are performed. |
Quarterly penetration testing and third-party security audits claimed. | |
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Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
Privacy procedures and anonymization called out in compliance section. | |
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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. |
Ability to restrict redistribution and share data only at the organizational or project level. | |
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Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
Automated alerts for suspicious activity described in security features. | |
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Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
Vendor diligence and support for onboarding/procurement teams referenced. |
Performance & Scalability
(5 Yes /5 Known /10 Possible features)
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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 in private and public cloud infrastructure documented. | |
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Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
Distributed processing and parallel query execution supported, mentioned in user documentation. | |
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Data Retention Policy Flexibility Configurable data storage retention periods. |
Customer-settable data retention periods described. | |
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Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
Usage dashboards and API performance reporting available in platform control panel. | |
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Batch Processing Support Efficient support for large batch data operations. |
Bulk/batch data loading and export features described in onboarding and technical documentation. |
User Support & Documentation
(9 Yes /9 Known /10 Possible features)
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Onboarding Support Personalized setup, initial training, and account configuration help. |
Personal onboarding, initial setup, and training described as part of enterprise support offerings. | |
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Knowledge Base Extensive searchable documentation and tutorials. |
Comprehensive help center and searchable tutorials present. | |
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Data Dictionary Comprehensive descriptions of each data field and its origin. |
Field-level glossary and origin explanations provided in data catalog. | |
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API Documentation Completeness Detail and clarity of technical integration guidelines. |
Extensive API developer portal with schema, authentication, and usage examples. | |
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Dedicated Account Management Assigned customer success managers for enterprise users. |
Dedicated account managers and quarterly business reviews part of support for large clients. | |
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Live Chat Support Immediate support via chat with platform staff. |
Live chat widget visible on product support page. | |
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User Training Workshops Regularly scheduled or on-demand platform training. |
Scheduled training and custom onboarding 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. |
Platform multi-language toggle and timezone support mentioned in UI documentation. | |
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Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
Feedback form and roadmap voting features shown in user portal. |
Pricing & Contract Flexibility
(6 Yes /6 Known /10 Possible features)
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Usage-Based Pricing Option for pricing tied to volume or levels of consumption. |
Usage-based data fee structure available in published pricing plans. | |
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Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
Tiered subscription levels covering different data volumes and feature sets. | |
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Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
Custom contract negotiation and enterprise options highlighted for fund clients. | |
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Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
Fee disclosures present in all pricing literature and contract FAQs. | |
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Free Trial Availability Short-term trial or demo use before commitment. |
Free trial/POC period advertised. | |
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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. |
Paid add-ons and module pricing clearly separated in customer portal. | |
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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 |
Customization & Extensibility
(10 Yes /10 Known /10 Possible features)
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Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
Users can build, save, and share custom dashboards based on their analysis needs. | |
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Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
Workflow automation (e.g., scheduled alerts, custom signals) supported through API and UI modules. | |
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Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
Custom CSV/XLSX data upload and merging capability described in onboarding FAQ. | |
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Plugin/Extension Framework Ability to add modules/extensions for new functionalities. |
Plugin framework and public extension repository highlighted in developer documentation. | |
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Scripting/Programming Interface Support for custom script development (e.g., Python, R APIs). |
Python and R scripting integration supported as per technical documentation. | |
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Theming/Branding Customization Visual customization for brand consistency. |
Ability to customize visual look and feel for enterprise clients (branding service). | |
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Custom Reporting Design and automate custom report formats. |
Custom reporting and automation scripts are exportable and scheduleable. | |
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Alert Customization User-defined conditions and triggers for event-driven alerts. |
User-specified event alert rules configurable in UI; supports custom triggers. | |
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Integration with In-House Tools Ability for organization-specific connectors/modules. |
Published APIs for connection to in-house risk/portfolio platforms. | |
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Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients. |
VPC and on-premise deploy options in enterprise offering. |
Vendor Stability & Reputation
(4 Yes /5 Known /10 Possible features)
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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 public reference to legal disputes in company disclosures. | |
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Financial Transparency Annual financial reporting or third-party audits available. |
Financials and third-party review/audit summary available upon NDA request for institutional prospects. | |
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Industry Partnerships Participation in alliances or consortia that enhance credibility. |
Member of Alternative Data Council and various hedge fund industry initiatives. | |
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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. |
Two major industry award nominations listed in media section. | |
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Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
Business continuity and disaster recovery policy summary in security section. |
Innovation & Forward-Looking Capabilities
(7 Yes /7 Known /10 Possible features)
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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. |
Participation in Open Data Council and industry data working groups cited. | |
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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. |
Explicit reference to early-access, beta testing, and user-driven roadmap in support forum. | |
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Academic Collaborations Partnerships with universities for applied research. |
Two academic partners (research institutions) listed on partnerships page. | |
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Open Data Initiatives Support or contribution to open alternative data/tech communities. |
Open source datasets and GitHub contributions referenced. | |
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Data Science Sandbox Environment for clients to experiment with new data and analytics. |
Client sandbox for experimental data/model prototyping described in developer zone. | |
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API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
Transparent API roadmap presentations in quarterly client webinars. | |
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Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Support for new asset classes (ESG, crypto) and cross-market models described in platform updates. |
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