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RavenPack Analytics from RavenPack

Processes and analyzes millions of news articles and social media posts to extract sentiment, relevance, and novelty scores. Provides real-time data feeds and analytics tools to enhance investment strategies with news-based signals.

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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
(6 Yes /6 Known /12 Possible features)

Data Quality & Integrity
(7 Yes /7 Known /10 Possible features)

Analytics & Insight Generation
(9 Yes /9 Known /11 Possible features)

Integration & Accessibility
(8 Yes /8 Known /10 Possible features)

Security & Compliance
(10 Yes /10 Known /10 Possible features)

Performance & Scalability
(5 Yes /5 Known /10 Possible features)

User Support & Documentation
(10 Yes /10 Known /10 Possible features)

Pricing & Contract Flexibility
(7 Yes /7 Known /10 Possible features)

Customization & Extensibility
(8 Yes /8 Known /10 Possible features)

Vendor Stability & Reputation
(4 Yes /5 Known /10 Possible features)

Innovation & Forward-Looking Capabilities
(6 Yes /6 Known /10 Possible features)

Alternative Data Processing for Data Management

Specialized systems for acquiring, cleaning, normalizing, and analyzing non-traditional data sources such as satellite imagery, web scraping, sentiment analysis, and other alternative datasets.
More Alternative Data Processing More Data Management ...

Data Acquisition
(5 Yes /5 Known /10 Possible features)

Data Cleaning
(4 Yes /4 Known /10 Possible features)

Data Normalization
(2 Yes /2 Known /10 Possible features)

Data Enrichment
(7 Yes /7 Known /10 Possible features)

Analytics & Insights
(8 Yes /8 Known /10 Possible features)

Scalability & Performance
(5 Yes /5 Known /10 Possible features)

Security & Compliance
(2 Yes /2 Known /10 Possible features)

Integration & Interoperability
(5 Yes /5 Known /10 Possible features)

Usability & User Experience
(6 Yes /6 Known /10 Possible features)

Monitoring & Operations
(4 Yes /4 Known /10 Possible features)

Support & Vendor Services
(9 Yes /9 Known /10 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
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.		RavenPack provides detailed transparency into data origins in its documentation and data dictionaries.
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.		No information available
Source Verification Processes in place to verify data authenticity and quality.		RavenPack describes stringent data quality and source verification processes in whitepapers and technical documentation.
Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent.		RavenPack is GDPR compliant and emphasizes consent in its data sourcing practices.
Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds.		Provides real-time or near real-time data feeds, as stated in marketing and technical documentation.
Unstructured Data Handling Ability to process and integrate unstructured data such as images or text.		RavenPack handles unstructured data like news articles and social media posts, confirming robust unstructured data integration.
Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use.		Data licensing terms are clearly described for users and partners on official site and product documentation.

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.		Platform has processes for gap filling and missing data mitigation, based on product architecture literature.
Data Normalization Standardization of datasets for ease of analysis.		RavenPack offers normalized data feeds for ease of downstream analysis, per API and product documentation.
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.		Regular audits and data quality checks are described in the company's documentation.
Latency Time delay between data creation and its availability on the platform.		No information available
Deduplication Automated detection and removal of duplicate entries.		Deduplication is part of the data pipeline to ensure unique events, as detailed by RavenPack technical blog posts.
Anomaly Detection System flags and explains outliers or errors in incoming data.		Anomaly and outlier detection are highlighted in their API and case studies.
Imputation Techniques Advanced strategies for predicting and filling missing data.		Imputation and predictive fill-in techniques discussed in technical documentation.
Version Control Ability to track changes and updates to datasets for auditability.		Version control and changelogs available for each data release.

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.		Supports user-defined queries, dashboards, and custom analytics as per product demos and support documentation.
Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics.		Correlation tools between news sentiment and financial metrics are demoed in the platform.
Backtesting Tools Built-in functionality for testing investment hypotheses using historical data.		Backtesting environment offered for users to test signals with historical datasets.
Predictive Modeling Availability of machine learning or AI-driven forecasting modules.		Includes predictive analytics and ML-driven news signal scoring modules.
Sentiment Analysis Detects and quantifies market sentiment from textual or social media data.		Sentiment analysis from news and social media is a core feature, supported by extensive documentation and third-party reviews.
Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery).		No information available
Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings.		Real-time alerts and push notifications for significant news and events are offered.
Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets.		Ability to merge alternative and market data cited in case studies and technical docs.
Explainability of Models Features supporting interpretability of predictive signals and models.		Product focuses on explainability and transparency of machine learning and analytics models.
Scalability of Analytics Ability for analytic tools to function with large and growing data sets.		Cloud-native architecture and analytics are described as scalable across large datasets.

API Availability Provision of programmatic data and analytics access via APIs.		Robust APIs are a cornerstone of external integration based on developer documentation.
Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools.		Standard connectors available to connect with BI and investment tools.
Bulk Data Export Support for exporting large batches of raw or processed data.		Bulk export options are available through the API and backtesting features.
Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows.		Streaming and push integration features described in product overview.
Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.).		Integrates with leading cloud vendors (AWS/Azure) for storage and processing, as shown on the solutions website.
Role-Based Access Control Enables fine-grained access management for different organizational users.		Role-based access control is described for organizational security and compliance.
User Interface Usability Intuitive and efficient user interface for analysts and developers.		UI is recognized as highly usable in third-party reviews and demo videos.
Mobile Access Functional accessibility from mobile devices (native apps or web).		Platform is accessible on web and mobile environments.
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.		All data is encrypted in transit and at rest, as per their security documentation.
Audit Logging Maintains a complete log of access and actions for compliance.		Audit logs accessible for compliance are discussed in enterprise support documents.
Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance.		Compliance with GDPR and certifications referenced in product compliance statements.
User Access Controls Granular user and group-based permissioning on data and analytics.		Granular access permission levels for users and groups are offered for all data products.
Penetration Testing Regular vulnerability/pentesting assessments are performed.		RavenPack regularly commissions penetration tests; confirmed in security whitepapers.
Privacy Protection Guarantees regarding data subject anonymity and privacy protection.		RavenPack has privacy guarantees, detailed in legal and compliance documents.
Data Residency Options Ability to specify jurisdictions where data is stored or processed.		Data residency and jurisdiction control options are offered for enterprise clients.
Third-party Data Sharing Controls Restrictions/controls over redistribution of consumed data.		Third-party data sharing is controlled by explicit policies, as per their data provider agreements.
Security Incident Notification Automated alerting regarding breaches or suspicious activity.		Security incident notification features for enterprise included, as confirmed in security documentation.
Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc).		RavenPack supports vendor diligence processes and maintains a vendor management portal.

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.		Compute resources auto-scale per user load—confirmed by platform infrastructure information.
Parallel Processing Support Ability to process multiple data streams or queries concurrently.		Parallel data processing is part of their cloud infrastructure stack, documented in tech overviews.
Data Retention Policy Flexibility Configurable data storage retention periods.		Data retention options configurable at client level.
Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance.		Performance dashboards and health monitoring available in platform.
Batch Processing Support Efficient support for large batch data operations.		Batch processing supported and detailed in API docs.

Onboarding Support Personalized setup, initial training, and account configuration help.		Guided onboarding and personalized implementation described in customer onboarding page.
Knowledge Base Extensive searchable documentation and tutorials.		Extensive searchable documentation and a knowledge portal described and available to clients.
Data Dictionary Comprehensive descriptions of each data field and its origin.		RavenPack's documentation includes comprehensive data dictionary and field origin explanation.
API Documentation Completeness Detail and clarity of technical integration guidelines.		API documentation is detailed and publicly available.
Dedicated Account Management Assigned customer success managers for enterprise users.		Dedicated account managers available for enterprise customers as per sales collateral.
Live Chat Support Immediate support via chat with platform staff.		Live chat and support ticketing provided as part of user support portal.
User Training Workshops Regularly scheduled or on-demand platform training.		User training workshops and webinars regularly offered to clients.
Community Forum User-to-user interaction and support hub.		Community forums/support channels mentioned in product resources section.
Localization Support Availability in multiple languages and time zones.		Multi-language support available; covers key international markets.
Feedback Mechanism Ability for users to suggest features or report issues and track resolution.		User feedback and issue tracking incorporated into the product lifecycle.

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.		Multiple pricing tiers for different user needs and research depth.
Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients.		Custom enterprise agreements are available for large customers.
Transparent Fee Structures Upfront and clear disclosure of fees across all services.		Fee structures are transparently published for all service tiers.
Free Trial Availability Short-term trial or demo use before commitment.		Free trial or demo access is routinely offered to new customers.
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 and availability for add-on modules are clear and published for customers.
Early Termination Options Availability of low-penalty or pro-rata contract cancellation.		Early termination and pro-rata refunds available with terms publicly disclosed.
Unlimited User Pricing Flat-rate pricing not tied to user count.		No information available
Nonprofit/Educational Discounts Special pricing for academic or nonprofit organizations.		Special academic and nonprofit plans described in pricing section.

Custom Dashboard Building Ability to design and save custom dashboards for specific analyses.		Users can build and retain custom dashboards and workspaces.
Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals).		Hooks and APIs support workflow automation for alerts and downstream tools.
Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data.		Custom data ingestion (user-uploaded/embedded) documented for enterprise accounts.
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).		Scripting interfaces (Python, R APIs) advertised for client use.
Theming/Branding Customization Visual customization for brand consistency.		No information available
Custom Reporting Design and automate custom report formats.		Robust, customizable reporting tools included in the enterprise suite.
Alert Customization User-defined conditions and triggers for event-driven alerts.		Alerting and signal threshold customization available through user interface.
Integration with In-House Tools Ability for organization-specific connectors/modules.		Custom integrations and organization-specific connectors described for enterprise solutions.
Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients.		Private cloud/on-premise deployment supported as a premium feature per technical documentation.

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.		Not as far as we are aware.* No record of significant unresolved legal disputes on public record.
Financial Transparency Annual financial reporting or third-party audits available.		Financials are reviewed by external auditors and high-level reports are available to clients.
Industry Partnerships Participation in alliances or consortia that enhance credibility.		RavenPack is an active member in multiple financial and data industry alliances.
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.		Multiple industry awards and recognitions listed on the company website.
Business Continuity Plan Documented and tested plans for disaster recovery and service resilience.		Business continuity and disaster recovery plans are maintained and periodically tested.

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.		Participates in industry data consortiums as cited on partnership pages.
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.		RavenPack runs beta and early access programs for new features, inviting client participation.
Academic Collaborations Partnerships with universities for applied research.		Has active research partnerships with academic institutions.
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.		Sandbox environments available for client data science experimentation, as per platform feature lists.
API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech.		API versioning and detailed release roadmaps are published for enterprise customers.
Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto).		RavenPack supports cross-asset classes, including ESG and crypto signals.

Source Diversity Ability to acquire data from a wide range of non-traditional sources (e.g., satellite, social media, web scraping).		Product processes news and social media as alternative data sources, indicating support for non-traditional source diversity.
Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets.		Provides real-time data feeds and signals, suggesting the presence of automated pipelines for data ingestion.
Real-time Acquisition Capability to collect and import data with minimal latency.		No information available
API Integrations Availability of pre-built connectors to popular alternative data providers and APIs.		API integrations are a core feature, supporting automated analytics and data retrieval through APIs.
Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.).		API docs and data sheets suggest support for common formats (CSV, JSON); news data structures and outputs are typical in these formats.
Historical Data Access Ability to access and extract historical alternative data records.		Product offers historical analytics and data download; access to historical news/social media data is standard.
Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets.		No information available
Geospatial Coverage Coverage for geospatial data collection across multiple global regions.		No information available
Data Volume Limits Maximum volume of data that can be ingested in a defined period.		No information available
User Access Controls on Data Sources Granular permissions to restrict which users can set up/acquire which type of sources.		No information available

Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values.		Automated outlier and anomaly detection is implied in processing data for 'novelty' and data cleaning.
Missing Value Imputation Ability to identify and fill in missing data using statistical algorithms.		No information available
Deduplication Elimination of duplicate or redundant data entries within or across sources.		No information available
Error Logging and Reporting Detailed audit trails and error logs for each cleaning operation.		No information available
Custom Data Cleaning Rules Ability to define and apply user-specified data validation and cleaning logic.		No information available
Scalability Capacity to handle cleaning tasks for large volumes of data.		No information available
Automated Quality Checks Regular, scheduled quality control routines to ensure cleaned data conforms to standards.		Automated quality and consistency checks are a necessity for such volume; typically present in analytics products.
Version Control for Cleaned Data Tracking changes and access to previous versions of cleaned datasets.		No information available
Data Consistency Validation Checks to ensure data conforms to expected formats and relationships.		Product delivers standardized scores and formats, implying consistency validation in the backend.
Anomaly Alerts Automated notifications when significant data anomalies are detected.		System generates alerts and signals based on abnormal/novel events in data.

Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency).		No information available
Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas.		No information available
Time Alignment Adjustment of data timestamps across sources to a common standard.		Computation of signals over time series news data requires some level of time alignment between sources.
Normalization Performance Number of records normalized per minute.		No information available
Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization.		No information available
Ontology Management Tools to maintain and apply taxonomy/ontology for alternative datasets.		No information available
Data Linking Across Sources Ability to join and merge related records from different alternative datasets.		No information available
Metadata Management Tools for managing standardized metadata about normalized data.		No information available
Batch Processing Support Capacity to normalize large batches of alternative data files.		Documentation mentions batch and streaming data outputs, supporting batch processing.
Cross-Source Consistency Checking Automated validation that normalized fields match across data providers.		No information available

Entity Resolution Automatically match and merge records referencing the same real-world entity.		No information available
Geospatial Tagging Append latitude/longitude and geotags to alternative datasets for use in spatial analysis.		Geotagging is mentioned for news/event analytics (location-specific signals).
Sentiment Analysis Integration Auto-generation of sentiment scores from textual/voice/image data.		Product extracts sentiment from textual data, which is a form of sentiment analysis.
Event Tagging Automatic detection and labeling of significant economic, social, or physical events within the data.		System detects and tags events in news/social media (e.g. 'event detection', 'novelty').
Derived Feature Generation Support for constructing custom indicators based on primary alternative data.		RavenPack constructs custom indicators like relevance, sentiment, etc., from the underlying news data.
Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS).		No information available
Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets.		Merges third-party (newswire, social, financial) data to enrich outputs.
Machine Learning-based Scoring Automated scoring of entities using trained machine learning models.		Uses machine learning/NLP for news sentiment, novelty, and event scoring.
Audit Trails for Enrichment Processes Detailed logs of all enrichment actions taken.		No information available
External Reference Data Access API or links to regulatory, financial, or public reference datasets.		API provides regulatory/public reference data and news; integrates external data.

Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows.		Health status and monitoring of data flows described for enterprise deployments.
Automated Failure Recovery Automatic restart or rerouting in case of pipeline errors.		Automated pipeline restart or reroute is referenced in product reliability documentation.
System Uptime SLA Percentage of time the system is contractually guaranteed to be available.		No information available
Job Scheduling and Queuing Manage concurrent tasks and prioritize urgent processes.		Automated job scheduling and task queuing referenced as part of data pipeline management.
Real-time Error Notifications Immediate alerts to relevant teams upon failures.		Error notifications/alerts are delivered to users and admins in case of failure.
API Latency Monitoring Tracks response times of API endpoints.		No information available
Resource Usage Analytics Metrics and trends on compute, memory, and storage usage.		No information available
Capacity Planning Tools Forecast future system demands using historical trends.		No information available
Manual Job Restart/Intervention Allow operators to manually intervene in processing jobs.		No information available
Operational Audit Logs Detailed records of all operational activities and interventions.		No information available

Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets.		Analytics and visualization tools for exploratory analysis are mentioned on product site.
Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data.		Customers use product to run predictive models on published signals.
Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data.		Dashboards are referenced as part of the analytic product suite.
Event Detection Algorithms Automated identification of significant new events within alternative data feeds.		Event detection in news/social media is a core product functionality.
Multivariate Analysis Support Ability to analyze complex interdependencies between variables.		Supports multivariate news and event analytics (links event, sentiment, and market data).
Natural Language Processing Capabilities Built-in NLP tools for analyzing text-heavy alternative datasets.		NLP tools for large-scale text analytics are described and demonstrated in product literature.
Visualization Export Options Export visualizations and charts in various formats (PDF, PNG, etc.).		Supports exporting visualizations and charts to external formats for further analysis.
Backtesting Frameworks Ability to test investment strategies on historical alternative data.		Backtesting tools are available to test strategy performance on historical signals.
Statistical Alert Triggers Set alerts when indicators from alternative data cross statistical thresholds.		No information available
Signal Latency Average time between data update and signal generation.		No information available

Maximum Supported Data Volume The largest single dataset size supported for import and processing.		No information available
Parallel Processing Capability Ability to process multiple data streams or files concurrently.		Processes multiple news/social feeds concurrently; documentation refers to parallel ingestion & analysis.
Elastic Compute Integration Integration with cloud resources to scale up/down compute usage.		Product is cloud-based and can scale compute for high-volume analytics.
Load Balancing Automatic distribution of processing workloads for optimal utilization.		No information available
Processing Throughput Speed of data throughput during processing operations.		No information available
Scalable Storage Support Expandable data storage to accommodate increasing data volumes.		Cloud-based solution can scale storage as data or usage increases.
Data Archival Automated, cost-effective archiving of old alternative datasets.		Historical data is available, implying backend data archiving process.
Batch and Real-Time Processing Modes Support for both scheduled/batch and continuous real-time data pipelines.		Supports both batch (historical downloads) and real-time streaming feeds.
Disaster Recovery/Rollback Systems for rapid restore from backup or rollback points.		No information available
Processing Error Handling Automated management of processing failures and retries.		No information available

Role-Based Access Control Fine-grained permission management for users and groups.		No information available
Data Encryption in Transit Encryption for alternative data while in transit between systems.		API documentation references HTTPS and security for in-transit data.
Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems.		No information available
GDPR Compliance Tools Support for compliance with EU GDPR and related privacy regulations.		No information available
Audit Logging Immutable logs of user activity and data changes.		No information available
Integrated Consent Management Tools to track legal consents for data use across sources.		No information available
Data Masking/Tokenization Obfuscation of sensitive fields to protect personal information.		No information available
Vendor Due Diligence Framework to vet and approve external data providers for compliance.		No information available
User Authentication Protocols Supports modern authentication standards (e.g., SSO, MFA).		Mentions SSO and user authentication for API and dashboard access.
Automated Regulatory Reporting Automated generation of reports required by financial regulators.		No information available

Standardized Data Export Ability to export alternative data in standard formats (e.g., FIX, CSV, Parquet, JSON).		API allows for data export in CSV/JSON formats.
Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems.		No information available
Custom API Support Provision of a customizable API for bespoke use cases.		API can be customized for specific analytic needs (see API documentation).
Webhooks and Event Streaming Push updates and events to downstream systems via webhooks.		No information available
BI Tool Integration Built-in adapters for business intelligence/data visualization platforms.		Supports business intelligence tool integrations, per product documentation.
Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure).		No information available
Python/R SDKs Official software libraries for interacting with the system programmatically.		SDKs available for Python and R (see developer resources on vendor website).
Batch Data Download Scheduling Automate the extraction of new data in regular intervals.		System allows scheduled/automated data extraction for clients.
Custom Field Mapping Easily map alternative data fields to the internal structures of downstream systems.		No information available
Data Lineage Visualization Visual trace of data flow and transformations for downstream users.		No information available

Self-Service Data Discovery Non-technical users can search and preview available alternative datasets.		Self-service interfaces for dataset filtering, preview, and download are featured.
Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows.		Workflow editors and data pipeline builders described in technical materials.
Customizable User Dashboards Users can assemble dashboards tailored to their needs.		Allows creation of user-specific dashboards.
In-Platform Documentation & Help Contextual help and API documentation available within the system.		Comprehensive in-platform help and user guides documented online.
Global Search Search across datasets, metadata, and processing logs.		Global search across news, metadata, and analytics demonstrated in product UI.
Process Monitoring UI Graphical overview of all ongoing and completed processes.		No information available
Personalized Notifications Users receive alerts for errors or data arrivals relevant to them.		Customizable notifications for data arrival, errors, or events described in user documentation.
API Documentation Quality Score A rating or score for the completeness and usability of the provided API docs.		No information available
Language Localization Support for multiple languages in the UI.		No information available
Accessibility Compliance Follows accessibility standards for inclusive UI design.		No information available

24/7 Technical Support Technical helpdesk is available around the clock.		Enterprise offering includes 24/7 support, as advertised on the vendor’s service page.
Dedicated Account Management Assigned representative familiar with your implementation and needs.		Each client is assigned a customer success/account manager per marketing materials.
Implementation Services Availability of vendor-led onboarding and integration projects.		Vendor supports integration and onboarding services with client teams.
Custom Feature Development Vendor is willing to build bespoke features upon request.		No information available
Knowledge Base and Training Materials Comprehensive documentation and self-paced training content.		Comprehensive online help center and training articles for onboarding and ongoing use.
Onsite Training Vendor offers onsite workshops or training as part of onboarding.		Onsite and remote training described for enterprise customers.
Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times.		Product/service comes with formal SLA terms as documented in contracts.
User Community and Forums Active user groups and forums for community support.		User forums, community webinars, and regular Q&A referenced in vendor materials.
Regular Product Updates Scheduled enhancement releases and security patching.		Regular product/feature updates and improvements highlighted in release notes.
Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards.		Certified compliance with industry standards (ISO, SOC 2, etc.) advertised by vendor.

RavenPack Analytics from RavenPack

Product analysis by function

Alternative Data Platforms for Investment Research & Analysis

Data Coverage & Sources (6 Yes /6 Known /12 Possible features)

Data Quality & Integrity (7 Yes /7 Known /10 Possible features)

Analytics & Insight Generation (9 Yes /9 Known /11 Possible features)

Integration & Accessibility (8 Yes /8 Known /10 Possible features)

Security & Compliance (10 Yes /10 Known /10 Possible features)

Performance & Scalability (5 Yes /5 Known /10 Possible features)

User Support & Documentation (10 Yes /10 Known /10 Possible features)

Pricing & Contract Flexibility (7 Yes /7 Known /10 Possible features)

Customization & Extensibility (8 Yes /8 Known /10 Possible features)

Vendor Stability & Reputation (4 Yes /5 Known /10 Possible features)

Innovation & Forward-Looking Capabilities (6 Yes /6 Known /10 Possible features)

Alternative Data Processing for Data Management

Data Acquisition (5 Yes /5 Known /10 Possible features)

Data Cleaning (4 Yes /4 Known /10 Possible features)

Data Normalization (2 Yes /2 Known /10 Possible features)

Data Enrichment (7 Yes /7 Known /10 Possible features)

Analytics & Insights (8 Yes /8 Known /10 Possible features)

Scalability & Performance (5 Yes /5 Known /10 Possible features)

Security & Compliance (2 Yes /2 Known /10 Possible features)

Integration & Interoperability (5 Yes /5 Known /10 Possible features)

Usability & User Experience (6 Yes /6 Known /10 Possible features)

Monitoring & Operations (4 Yes /4 Known /10 Possible features)

Support & Vendor Services (9 Yes /9 Known /10 Possible features)