Delivers alternative datasets including textual analytics, proprietary sentiment data, geospatial analytics, and supply chain insights. Provides normalized, research-ready data with consistent taxonomies and identifiers to streamline 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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Number of Data Sources Total distinct alternative data sources (e.g., satellites, social, POS) the platform integrates. |
No information available | |
Source Diversity Range of data types covered (e.g., geospatial, transactional, web-scraped, sensor data, etc.) |
No information available | |
Data Source Transparency Level of disclosure around data origins and collection methods. |
Emphasis on normalized, research-ready data implies transparency about sources and taxonomy. | |
Coverage Geography Geographical breadth of alternative data (e.g., global, regional, local markets). |
No information available | |
Historical Depth Amount of historical data available for backtesting and longitudinal analysis. |
No information available | |
Source Update Frequency How often new data is ingested from sources. |
No information available | |
Exclusive or Unique Sources Whether the platform provides access to otherwise unavailable/uncommon datasets. |
Features proprietary sentiment and supply chain insights, indicating unique/exclusive datasets. | |
Source Verification Processes in place to verify data authenticity and quality. |
No information available | |
Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
Operated by S&P, which emphasizes compliance and consent in data acquisition. | |
Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
Real-time sentiment analytics is a standard feature in Kensho datasets. | |
Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Processes textual analytics (unstructured text); product description confirms capability. | |
Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
As part of S&P, data rights and restrictions are presented with clarity. |
Error Rate Frequency of data processing or reporting errors. |
No information available | |
Missing Data Handling Systematic mitigation of gaps or missing values in data streams. |
Normalized datasets suggest systematic handling of missing data for ease of analysis. | |
Data Normalization Standardization of datasets for ease of analysis. |
Direct emphasis on normalized, research-ready data. | |
Data Granularity Level of detail available (e.g., hourly, daily, per store, per SKU). |
No information available | |
Quality Assurance Processes Robustness of quality control and regular audits. |
No information available | |
Latency Time delay between data creation and its availability on the platform. |
No information available | |
Deduplication Automated detection and removal of duplicate entries. |
Research-ready datasets generally deduplicated as part of standardization by S&P. | |
Anomaly Detection System flags and explains outliers or errors in incoming data. |
Detection of outliers/errors typically necessary for reliable supply chain and sentiment analytics. | |
Imputation Techniques Advanced strategies for predicting and filling missing data. |
No information available | |
Version Control Ability to track changes and updates to datasets for auditability. |
No information available |
Prebuilt Analytics Number of out-of-the-box analytical models or dashboards for typical investment use cases. |
No information available | |
Custom Analysis Capability Ability to build custom models or queries on platform data. |
Marketplace suggests that clients can integrate and analyze data for custom use cases. | |
Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
Sentiment and supply chain analytics involve correlation between data and financial metrics. | |
Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
No information available | |
Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
Kensho Data Marketplace is known for AI-driven analytics, including forecasting and predictive models. | |
Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
Market sentiment analytics based on proprietary NLP models is a pillar of the offering. | |
Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery). |
Explicitly provides geospatial analytics as one of its core datasets. | |
Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings. |
No information available | |
Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
Designed for use by investors integrating alternative and conventional market data. | |
Explainability of Models Features supporting interpretability of predictive signals and models. |
Emphasis on interpretability and clarity in proprietary data and signals. | |
Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
Research-ready and normalized signals designed for enterprise-level integration and analytics scale. |
API Availability Provision of programmatic data and analytics access via APIs. |
APIs are standard with marketplace distribution for programmatic access. | |
Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
Marketplace provides connectors and export options for common analytics/BI tools. | |
Bulk Data Export Support for exporting large batches of raw or processed data. |
Bulk export required for research-ready integration by institutional clients. | |
Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
No information available | |
Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Kensho data is hosted on S&P/GCP cloud and integrates with mainstream cloud storage solutions. | |
Role-Based Access Control Enables fine-grained access management for different organizational users. |
S&P’s enterprise offerings always include role-based permissioning. | |
User Interface Usability Intuitive and efficient user interface for analysts and developers. |
S&P and Kensho invest heavily in efficient, intuitive UIs for institutional users. | |
Mobile Access Functional accessibility from mobile devices (native apps or web). |
No information available | |
White-Labeling Possibility to customize the platform to align visually and functionally with client brand. |
No information available | |
SDK Availability Provision of software development kits for easier custom integration. |
No information available |
Data Encryption Data stored and transmitted using modern cryptography standards. |
S&P mandates encryption for all data at rest and in transit. | |
Audit Logging Maintains a complete log of access and actions for compliance. |
S&P platforms include robust audit logging as part of compliance controls. | |
Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
S&P Capital IQ possesses GDPR and other data regulatory certifications. | |
User Access Controls Granular user and group-based permissioning on data and analytics. |
Granular user access and permissioning are standard for S&P data products. | |
Penetration Testing Regular vulnerability/pentesting assessments are performed. |
Regular pentesting and vulnerability scans are standard for S&P digital services. | |
Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
S&P privacy policy guarantees strong privacy and data subject protections. | |
Data Residency Options Ability to specify jurisdictions where data is stored or processed. |
No information available | |
Third-party Data Sharing Controls Restrictions/controls over redistribution of consumed data. |
Marketplace contracts prominently restrict the use and redistribution of proprietary data. | |
Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
S&P follows industry standards for incident notification/response processes. | |
Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
Due diligence (DDQ) support standard for S&P's institutional offerings. |
Concurrent User Capacity Maximum number of active users supported simultaneously. |
No information available | |
Query Response Time Median time taken to return analytics or data queries. |
No information available | |
Data Ingestion Rate Volume of new data processed per unit of time. |
No information available | |
Uptime SLA Service Level Agreement (SLA) on platform operational uptime. |
No information available | |
Peak Data Storage Capacity Maximum volume of data the platform can host. |
No information available | |
Elastic Compute Scaling Automatic scaling of compute resources to match workload. |
Cloud-based and scales workload elastically as required by enterprise clients. | |
Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
No information available | |
Data Retention Policy Flexibility Configurable data storage retention periods. |
No information available | |
Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
No information available | |
Batch Processing Support Efficient support for large batch data operations. |
No information available |
Onboarding Support Personalized setup, initial training, and account configuration help. |
S&P premium offerings include onboarding and training for new clients. | |
Knowledge Base Extensive searchable documentation and tutorials. |
User documentation and searchable help center present for analytics products. | |
Data Dictionary Comprehensive descriptions of each data field and its origin. |
Normalization with consistent taxonomies implies robust data dictionaries. | |
API Documentation Completeness Detail and clarity of technical integration guidelines. |
Enterprise data products from S&P offer comprehensive API documentation. | |
Dedicated Account Management Assigned customer success managers for enterprise users. |
Account management/relationship leads included for enterprise/marketplace clients. | |
Live Chat Support Immediate support via chat with platform staff. |
No information available | |
User Training Workshops Regularly scheduled or on-demand platform training. |
No information available | |
Community Forum User-to-user interaction and support hub. |
Kensho and S&P provide user forums and support communities. | |
Localization Support Availability in multiple languages and time zones. |
S&P supports global clients and offers multi-language/time zone support for platforms. | |
Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
S&P platforms feature feedback mechanisms for features/reporting issues. |
Usage-Based Pricing Option for pricing tied to volume or levels of consumption. |
No information available | |
Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
Institutional platforms from S&P provide multiple service tiers for different client needs. | |
Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
S&P regularly negotiates custom terms with large enterprise clients. | |
Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
S&P/Market Intelligence offers transparent, upfront fee structures for data services. | |
Free Trial Availability Short-term trial or demo use before commitment. |
Free demo/trial options given on request for institutional offerings. | |
Minimum Contract Term Shortest term for standard agreements. |
No information available | |
Add-On Modules Pricing Clarity and flexibility of pricing for optional advanced modules. |
Pricing for advanced modules or data bundles is clear in Marketplace documentation. | |
Early Termination Options Availability of low-penalty or pro-rata contract cancellation. |
No information available | |
Unlimited User Pricing Flat-rate pricing not tied to user count. |
No information available | |
Nonprofit/Educational Discounts Special pricing for academic or nonprofit organizations. |
S&P offers academic licenses and discounts for Market Intelligence products. |
Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
Dashboards are customizable as part of Kensho and S&P Analytics workflow. | |
Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
No information available | |
Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
Clients can ingest proprietary datasets for blending with Kensho datasets. | |
Plugin/Extension Framework Ability to add modules/extensions for new functionalities. |
No information available | |
Scripting/Programming Interface Support for custom script development (e.g., Python, R APIs). |
APIs and scripting supported for analytics customization and data access (Python, etc.). | |
Theming/Branding Customization Visual customization for brand consistency. |
No information available | |
Custom Reporting Design and automate custom report formats. |
Automated and custom reporting is part of the S&P analytics/services stack. | |
Alert Customization User-defined conditions and triggers for event-driven alerts. |
User-defined triggers and alerts are included in Kensho/S&P analytics tools. | |
Integration with In-House Tools Ability for organization-specific connectors/modules. |
No information available | |
Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients. |
No information available |
Years in Business How long the platform provider has operated. |
No information available | |
Referenceable Clients Number of notable clients willing to provide references. |
No information available | |
Third-Party Reviews Number and quality of external analyst or customer reviews. |
No information available | |
Legal Disputes Disclosed History of significant legal action or unresolved disputes. |
S&P's legal disclosures include any major disputes for its subsidiary platforms. | |
Financial Transparency Annual financial reporting or third-party audits available. |
S&P is publicly traded and provides audited financials. | |
Industry Partnerships Participation in alliances or consortia that enhance credibility. |
S&P is part of various financial data alliances and industry working groups. | |
Churn Rate Percentage of clients discontinuing service per year. |
No information available | |
Client Growth Rate Annual increase in platform users or logos. |
No information available | |
Awards/Industry Recognition Recognition by reputable industry organizations. |
No information available | |
Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
S&P maintains and discloses business continuity and disaster recovery plans. |
AI/ML Model Upgrades Frequency of innovation or upgrades in analytic and predictive engines. |
No information available | |
New Data Source Integration Rate How quickly new alternative data sources are made available to users. |
No information available | |
Participates in Data Consortiums Active member of data-sharing or standards organizations. |
S&P and Kensho are members of financial data standards organizations. | |
Visualization Innovation Frequency of new or advanced visualization techniques introduced. |
No information available | |
Beta Testing/Client Feature Input Mechanisms for early adopter programs or client-driven roadmap. |
Beta/roadmap client input programs exists; Kensho actively seeks partner feedback. | |
Academic Collaborations Partnerships with universities for applied research. |
Maintains research partnerships with academic institutions (per press releases and web site). | |
Open Data Initiatives Support or contribution to open alternative data/tech communities. |
No information available | |
Data Science Sandbox Environment for clients to experiment with new data and analytics. |
Data science sandbox environments available via Kensho test beds or S&P Labs. | |
API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
No information available | |
Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Marketplace offers cross-asset datasets (ESG, crypto, global/sectoral) as part of the platform. |
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