Alternative Data Platforms features explained

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.

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.

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