Alternative Data Platforms features explained
for Investment Research & Analysis
Every feature we track for Alternative Data Platforms products, with a description of what each one means.
Analytics & Insight Generation
Availability and sophistication of computational tools for generating actionable investment signals from raw alternative data.
- Backtesting Tools
- Built-in functionality for testing investment hypotheses using historical data.
- Correlation Analysis
- Supports finding relationships between alternative data and traditional financial metrics.
- Custom Analysis Capability
- Ability to build custom models or queries on platform data.
- Enrichment with Traditional Data
- Integrated blending of alternative and conventional financial data sets.
- Explainability of Models
- Features supporting interpretability of predictive signals and models.
- Geospatial Analytics
- Ability to map and analyze spatial data (e.g., satellite imagery).
- Prebuilt Analytics
- Number of out-of-the-box analytical models or dashboards for typical investment use cases.
- Predictive Modeling
- Availability of machine learning or AI-driven forecasting modules.
- Real-Time Alerting
- Automatic notification of significant changes or anomalies relevant to portfolio holdings.
- Scalability of Analytics
- Ability for analytic tools to function with large and growing data sets.
- Sentiment Analysis
- Detects and quantifies market sentiment from textual or social media data.
Customization & Extensibility
Ways the platform can be tailored to firm-specific workflows, requirements, and future expansion.
- Alert Customization
- User-defined conditions and triggers for event-driven alerts.
- Custom Dashboard Building
- Ability to design and save custom dashboards for specific analyses.
- Custom Data Ingestion
- Upload and merge a client’s own alternative or proprietary data.
- Custom Reporting
- Design and automate custom report formats.
- Deploy in Private Cloud
- Support for on-premises or VPC deployment for sensitive clients.
- Integration with In-House Tools
- Ability for organization-specific connectors/modules.
- Plugin/Extension Framework
- Ability to add modules/extensions for new functionalities.
- Scripting/Programming Interface
- Support for custom script development (e.g., Python, R APIs).
- Theming/Branding Customization
- Visual customization for brand consistency.
- Workflow Automation
- Integration with tools for process automation (e.g., alerts, trade signals).
Data Coverage & Sources
The breadth, diversity, and reliability of alternative data sources ingested by the platform, including their provenance and adaptation to investment research.
- Consent & Compliance
- Ensures data sources are ethically and legally obtained with proper user consent.
- Coverage Geography
- Geographical breadth of alternative data (e.g., global, regional, local markets).
- Data Licensing Terms Clarity
- Transparency and clarity of the licensing rights and restrictions regarding data use.
- Data Source Transparency
- Level of disclosure around data origins and collection methods.
- Exclusive or Unique Sources
- Whether the platform provides access to otherwise unavailable/uncommon datasets.
- Historical Depth
- Amount of historical data available for backtesting and longitudinal analysis.
- Number of Data Sources
- Total distinct alternative data sources (e.g., satellites, social, POS) the platform integrates.
- Real-Time Data Availability
- Whether some or all data sources provide real-time or near-real-time feeds.
- Source Diversity
- Range of data types covered (e.g., geospatial, transactional, web-scraped, sensor data, etc.)
- Source Update Frequency
- How often new data is ingested from sources.
- Source Verification
- Processes in place to verify data authenticity and quality.
- Unstructured Data Handling
- Ability to process and integrate unstructured data such as images or text.
Data Quality & Integrity
The strength of validation, cleanliness, completeness, and granularity for data-fed investment models.
- Anomaly Detection
- System flags and explains outliers or errors in incoming data.
- Data Granularity
- Level of detail available (e.g., hourly, daily, per store, per SKU).
- Data Normalization
- Standardization of datasets for ease of analysis.
- Deduplication
- Automated detection and removal of duplicate entries.
- Error Rate
- Frequency of data processing or reporting errors.
- Imputation Techniques
- Advanced strategies for predicting and filling missing data.
- Latency
- Time delay between data creation and its availability on the platform.
- Missing Data Handling
- Systematic mitigation of gaps or missing values in data streams.
- Quality Assurance Processes
- Robustness of quality control and regular audits.
- Version Control
- Ability to track changes and updates to datasets for auditability.
Innovation & Forward-Looking Capabilities
Support for the ongoing evolution of alternative data use, such as new sources, AI/ML, or visualization.
- AI/ML Model Upgrades
- Frequency of innovation or upgrades in analytic and predictive engines.
- API Versioning and Roadmap Disclosure
- Transparent release plans and versioning for APIs and tech.
- Academic Collaborations
- Partnerships with universities for applied research.
- Beta Testing/Client Feature Input
- Mechanisms for early adopter programs or client-driven roadmap.
- Cross-Asset Data Opportunities
- Support for new data categories relevant across markets (e.g., ESG, crypto).
- Data Science Sandbox
- Environment for clients to experiment with new data and analytics.
- New Data Source Integration Rate
- How quickly new alternative data sources are made available to users.
- Open Data Initiatives
- Support or contribution to open alternative data/tech communities.
- Participates in Data Consortiums
- Active member of data-sharing or standards organizations.
- Visualization Innovation
- Frequency of new or advanced visualization techniques introduced.
Integration & Accessibility
Methods and ease of consuming, exporting, or connecting data and analytics output to downstream investment systems and workflows.
- API Availability
- Provision of programmatic data and analytics access via APIs.
- Bulk Data Export
- Support for exporting large batches of raw or processed data.
- Cloud Storage Integration
- Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.).
- Mobile Access
- Functional accessibility from mobile devices (native apps or web).
- Real-time Streaming Integration
- Ability for real-time data feeds to integrate into live workflows.
- Role-Based Access Control
- Enables fine-grained access management for different organizational users.
- SDK Availability
- Provision of software development kits for easier custom integration.
- Standard Data Connectors
- Prebuilt connectors to common analytics, BI, or portfolio management tools.
- User Interface Usability
- Intuitive and efficient user interface for analysts and developers.
- White-Labeling
- Possibility to customize the platform to align visually and functionally with client brand.
Performance & Scalability
How well the platform handles large volumes of data, query complexity, and responsiveness at scale.
- Batch Processing Support
- Efficient support for large batch data operations.
- Concurrent User Capacity
- Maximum number of active users supported simultaneously.
- Data Ingestion Rate
- Volume of new data processed per unit of time.
- Data Retention Policy Flexibility
- Configurable data storage retention periods.
- Elastic Compute Scaling
- Automatic scaling of compute resources to match workload.
- Parallel Processing Support
- Ability to process multiple data streams or queries concurrently.
- Peak Data Storage Capacity
- Maximum volume of data the platform can host.
- Performance Monitoring Tools
- Built-in dashboards or reporting for platform health and performance.
- Query Response Time
- Median time taken to return analytics or data queries.
- Uptime SLA
- Service Level Agreement (SLA) on platform operational uptime.
Pricing & Contract Flexibility
The adaptability, transparency, and competitiveness of pricing models, contractual terms, and value delivery.
- Add-On Modules Pricing
- Clarity and flexibility of pricing for optional advanced modules.
- Custom Enterprise Agreements
- Ability to negotiate bespoke terms for large clients.
- Early Termination Options
- Availability of low-penalty or pro-rata contract cancellation.
- Free Trial Availability
- Short-term trial or demo use before commitment.
- Minimum Contract Term
- Shortest term for standard agreements.
- Nonprofit/Educational Discounts
- Special pricing for academic or nonprofit organizations.
- Tiered Subscription Models
- Multiple service tiers for diverse needs and budgets.
- Transparent Fee Structures
- Upfront and clear disclosure of fees across all services.
- Unlimited User Pricing
- Flat-rate pricing not tied to user count.
- Usage-Based Pricing
- Option for pricing tied to volume or levels of consumption.
Security & Compliance
Platform approaches to securing sensitive data, providing auditability, and ensuring regulatory compliance for financial institutions.
- Audit Logging
- Maintains a complete log of access and actions for compliance.
- Data Encryption
- Data stored and transmitted using modern cryptography standards.
- Data Residency Options
- Ability to specify jurisdictions where data is stored or processed.
- Penetration Testing
- Regular vulnerability/pentesting assessments are performed.
- Privacy Protection
- Guarantees regarding data subject anonymity and privacy protection.
- Regulatory Certifications
- Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance.
- Security Incident Notification
- Automated alerting regarding breaches or suspicious activity.
- Third-party Data Sharing Controls
- Restrictions/controls over redistribution of consumed data.
- User Access Controls
- Granular user and group-based permissioning on data and analytics.
- Vendor Diligence Support
- Facilitates client due diligence workflows (DDQ, supporting docs, etc).
User Support & Documentation
Resources and services provided to assist clients in onboarding, troubleshooting, and maximizing the platform’s value.
- API Documentation Completeness
- Detail and clarity of technical integration guidelines.
- Community Forum
- User-to-user interaction and support hub.
- Data Dictionary
- Comprehensive descriptions of each data field and its origin.
- Dedicated Account Management
- Assigned customer success managers for enterprise users.
- Feedback Mechanism
- Ability for users to suggest features or report issues and track resolution.
- Knowledge Base
- Extensive searchable documentation and tutorials.
- Live Chat Support
- Immediate support via chat with platform staff.
- Localization Support
- Availability in multiple languages and time zones.
- Onboarding Support
- Personalized setup, initial training, and account configuration help.
- User Training Workshops
- Regularly scheduled or on-demand platform training.
Vendor Stability & Reputation
Indicators of platform provider’s reliability, financial health, legal standing, and market presence.
- Awards/Industry Recognition
- Recognition by reputable industry organizations.
- Business Continuity Plan
- Documented and tested plans for disaster recovery and service resilience.
- Churn Rate
- Percentage of clients discontinuing service per year.
- Client Growth Rate
- Annual increase in platform users or logos.
- Financial Transparency
- Annual financial reporting or third-party audits available.
- Industry Partnerships
- Participation in alliances or consortia that enhance credibility.
- Legal Disputes Disclosed
- History of significant legal action or unresolved disputes.
- Referenceable Clients
- Number of notable clients willing to provide references.
- Third-Party Reviews
- Number and quality of external analyst or customer reviews.
- Years in Business
- How long the platform provider has operated.