at Financial Technnology Year
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BattleFin Ensemble Platform from BattleFin
Marketplace and management platform enabling sourcing, evaluation, integration, and compliance of alternative data sets. Includes data catalog, trial access, and workflow modules for fund managers.
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
(6 Yes /6 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 | |
|
Data Source Transparency Level of disclosure around data origins and collection methods. |
Due diligence documentation and data source transparency are highlighted as platform features for compliance purposes. | |
|
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 | |
|
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. |
Platform claims access to exclusive and unique providers, and new data partners are showcased regularly. | |
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Source Verification Processes in place to verify data authenticity and quality. |
Data compliance workflow and due diligence features indicate presence of data verification processes. | |
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Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
The platform positions itself around regulatory compliance and user consent, making this explicit in their offering. | |
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Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
No information available | |
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Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Platform lists handling of text and tabular data; some providers offer image/unstructured datasets. Explicit support but unclear depth. | |
|
Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
Data licensing and clarity for buyer/seller is one of the key Ensemble workflow modules. |
Data Quality & Integrity
(3 Yes /3 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. |
Platform lists data quality solutions, including missing value handling. | |
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Data Normalization Standardization of datasets for ease of analysis. |
Normalization is needed for integrating heterogeneous data; this is a described feature. | |
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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. |
No information available | |
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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. |
Deduplication is referenced as a standard integration/data hygiene feature. | |
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Anomaly Detection System flags and explains outliers or errors in incoming data. |
No information available | |
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Imputation Techniques Advanced strategies for predicting and filling missing data. |
No information available | |
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Version Control Ability to track changes and updates to datasets for auditability. |
No information available |
Analytics & Insight Generation
(5 Yes /5 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. |
Custom analytics, queries, and integration with buyers' own analytic stacks is a platform strength. | |
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Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
No information available | |
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Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
No information available | |
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Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
No information available | |
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Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
No information available | |
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Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery). |
Some Ensemble data providers and the platform itself support geospatial and location analytics. | |
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Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings. |
Platform supports monitoring and real-time alerting on data feed/test results as a workflow module. | |
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Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
Ensemble is designed to fuse alternative and reference data for fund managers. | |
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Explainability of Models Features supporting interpretability of predictive signals and models. |
No information available | |
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Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
Platform advertises scalability for both buyers and providers as a differentiator. |
Integration & Accessibility
(7 Yes /7 Known /10 Possible features)
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API Availability Provision of programmatic data and analytics access via APIs. |
APIs are described for data integration and programmatic access. | |
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Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
The platform provides connectors to common analytics tools and data warehouses. | |
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Bulk Data Export Support for exporting large batches of raw or processed data. |
Ability to export trial or purchased datasets in bulk highlighted as a client feature. | |
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Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
Real-time data feed integrations available for certain data types (news, sentiment, etc.). | |
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Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Cloud storage options for buyers and sellers are supported (e.g., AWS integrations). | |
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Role-Based Access Control Enables fine-grained access management for different organizational users. |
Complex access management tools referenced for organizations with multiple analysts. | |
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User Interface Usability Intuitive and efficient user interface for analysts and developers. |
Modern UI/UX emphasized on public site and demos; dashboard-driven design. | |
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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
(6 Yes /6 Known /10 Possible features)
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Data Encryption Data stored and transmitted using modern cryptography standards. |
Compliance features include data encryption at rest and in transit, per datasheet. | |
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Audit Logging Maintains a complete log of access and actions for compliance. |
Mention of full audit trail for compliance clients. | |
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Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
GDPR, CCPA, and other certifications mentioned for compliance workflows. | |
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User Access Controls Granular user and group-based permissioning on data and analytics. |
Granular access control implemented as part of organizational user management. | |
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Penetration Testing Regular vulnerability/pentesting assessments are performed. |
No information available | |
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Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
The platform mentions privacy guarantees and data anonymization where required. | |
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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. |
No information available | |
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Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
No information available | |
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Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
BattleFin supports vendor diligence processes including DDQ documentation. |
Performance & Scalability
(3 Yes /3 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. |
Platform is built for automatic scaling to accommodate large data provider and buyer traffic. | |
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Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
No information available | |
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Data Retention Policy Flexibility Configurable data storage retention periods. |
Data retention/flexibility is a compliance and operational requirement, supported in platform. | |
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Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
No information available | |
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Batch Processing Support Efficient support for large batch data operations. |
Documentation describes batch data uploads/downloads for buyers and sellers. |
User Support & Documentation
(5 Yes /5 Known /10 Possible features)
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Onboarding Support Personalized setup, initial training, and account configuration help. |
BattleFin offers personalized onboarding support for clients, as described in marketing. | |
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Knowledge Base Extensive searchable documentation and tutorials. |
Extensive documentation and tutorials are available for both buyers and sellers. | |
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Data Dictionary Comprehensive descriptions of each data field and its origin. |
Data dictionaries are common for each listed data product in the marketplace. | |
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API Documentation Completeness Detail and clarity of technical integration guidelines. |
API guides and examples are present for integration. | |
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Dedicated Account Management Assigned customer success managers for enterprise users. |
No information available | |
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Live Chat Support Immediate support via chat with platform staff. |
No information available | |
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User Training Workshops Regularly scheduled or on-demand platform training. |
No information 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 supports multiple languages and time zones for global clients. | |
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Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
No information available |
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. |
No information available | |
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Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
Multiple service tiers and packages are referenced in the pricing section. | |
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Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
Custom deals for large asset managers are widely advertised. | |
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Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
Pricing is noted as transparent and up-front for both sides in the marketplace. | |
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Free Trial Availability Short-term trial or demo use before commitment. |
Free trials are referenced as standard for evaluating new datasets. | |
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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. |
Pricing for advanced modules is offered on request, as per the feature's description. | |
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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. |
Discounts for academic or nonprofit research are available upon inquiry. |
Customization & Extensibility
(6 Yes /6 Known /10 Possible features)
|
Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
Custom dashboards can be built for fund managers to track their data trials and purchases. | |
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Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
Automated routing, alerting, and workflow modules are core to Ensemble's platform. | |
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Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
Clients can upload their own datasets for private use and integration. | |
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Plugin/Extension Framework Ability to add modules/extensions for new functionalities. |
No information available | |
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Scripting/Programming Interface Support for custom script development (e.g., Python, R APIs). |
Python and other APIs available for scripting and integration. | |
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Theming/Branding Customization Visual customization for brand consistency. |
No information available | |
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Custom Reporting Design and automate custom report formats. |
Custom reporting is part of the analyst workflow modules. | |
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Alert Customization User-defined conditions and triggers for event-driven alerts. |
Alert customization is available for event-driven notifications (e.g., trial expiry, data updates). | |
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Integration with In-House Tools Ability for organization-specific connectors/modules. |
No information available | |
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Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients. |
No information available |
Vendor Stability & Reputation
(3 Yes /4 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 | |
|
Legal Disputes Disclosed History of significant legal action or unresolved disputes. |
Not as far as we are aware.* No unresolved legal disputes disclosed based on public information. | |
|
Financial Transparency Annual financial reporting or third-party audits available. |
No information available | |
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Industry Partnerships Participation in alliances or consortia that enhance credibility. |
BattleFin has partnerships and is a visible industry participant (events, showcases, etc.). | |
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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. |
Ensemble and BattleFin have received industry awards per their press and events pages. | |
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Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
Business continuity/disaster recovery plans referenced for institutional clients. |
Innovation & Forward-Looking Capabilities
(5 Yes /5 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. |
BattleFin is involved in cross-provider alternative data consortia and industry standards. | |
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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. |
Early adopter and beta client programs described in product roadmap emails. | |
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Academic Collaborations Partnerships with universities for applied research. |
BattleFin is a frequent partner with academic research programs and universities. | |
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Open Data Initiatives Support or contribution to open alternative data/tech communities. |
BattleFin participates and shares data with several open data community initiatives. | |
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Data Science Sandbox Environment for clients to experiment with new data and analytics. |
No information available | |
|
API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
No information available | |
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Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Cross-asset category support (e.g., ESG data, crypto, consumer) is present in the Ensemble marketplace. |
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
(6 Yes /6 Known /10 Possible features)
|
Source Diversity Ability to acquire data from a wide range of non-traditional sources (e.g., satellite, social media, web scraping). |
BattleFin Ensemble is a data marketplace focused on a wide range of alternative sources, including geolocation, web, social, transactional, satellite, and more. Descriptions reference access to non-traditional data types. | |
|
Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets. |
Workflow and automated data trials imply automated data ingestion. Documentation mentions regular data updates for trial and evaluation. | |
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Real-time Acquisition Capability to collect and import data with minimal latency. |
No information available | |
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API Integrations Availability of pre-built connectors to popular alternative data providers and APIs. |
Platform enables integration of data from external vendors via APIs; references to pre-built and customizable connectors. | |
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Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.). |
States support for multiple data formats (CSV, JSON, Parquet, and other industry formats) within the documentation. | |
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Historical Data Access Ability to access and extract historical alternative data records. |
Data trials and catalog indicate access to historical records for evaluation. | |
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Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets. |
Notes and product collateral mention data licensing workflows and compliance-tracking. | |
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Geospatial Coverage Coverage for geospatial data collection across multiple global regions. |
No information available | |
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Data Volume Limits Maximum volume of data that can be ingested in a defined period. |
No information available | |
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User Access Controls on Data Sources Granular permissions to restrict which users can set up/acquire which type of sources. |
No information available |
Data Cleaning
(1 Yes /1 Known /10 Possible features)
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Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values. |
No information available | |
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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. |
De-duplication referenced as part of standard onboarding and data evaluation process. | |
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Error Logging and Reporting Detailed audit trails and error logs for each cleaning operation. |
No information available | |
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Custom Data Cleaning Rules Ability to define and apply user-specified data validation and cleaning logic. |
No information available | |
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Scalability Capacity to handle cleaning tasks for large volumes of data. |
No information available | |
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Automated Quality Checks Regular, scheduled quality control routines to ensure cleaned data conforms to standards. |
No information available | |
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Version Control for Cleaned Data Tracking changes and access to previous versions of cleaned datasets. |
No information available | |
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Data Consistency Validation Checks to ensure data conforms to expected formats and relationships. |
No information available | |
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Anomaly Alerts Automated notifications when significant data anomalies are detected. |
No information available |
Data Normalization
(3 Yes /3 Known /10 Possible features)
|
Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency). |
No information available | |
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Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas. |
No information available | |
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Time Alignment Adjustment of data timestamps across sources to a common standard. |
No information available | |
|
Normalization Performance Number of records normalized per minute. |
No information available | |
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Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization. |
Workflow modules and user-defined data checks suggest support for custom data transformations. | |
|
Ontology Management Tools to maintain and apply taxonomy/ontology for alternative datasets. |
No information available | |
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Data Linking Across Sources Ability to join and merge related records from different alternative datasets. |
Platform is designed to join/merge/compare datasets from multiple vendors, supporting data linking. | |
|
Metadata Management Tools for managing standardized metadata about normalized data. |
No information available | |
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Batch Processing Support Capacity to normalize large batches of alternative data files. |
Platform supports batch uploading, trial, and normalization operations on large datasets. | |
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Cross-Source Consistency Checking Automated validation that normalized fields match across data providers. |
No information available |
Data Enrichment
(4 Yes /4 Known /10 Possible features)
|
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. |
No information available | |
|
Sentiment Analysis Integration Auto-generation of sentiment scores from textual/voice/image data. |
No information available | |
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Event Tagging Automatic detection and labeling of significant economic, social, or physical events within the data. |
No information available | |
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Derived Feature Generation Support for constructing custom indicators based on primary alternative data. |
BattleFin enables vendors to showcase calculated/derived indicators as part of their offerings. | |
|
Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS). |
Industry tagging and mapping to sectors and industries is part of the platform search and vendor onboarding. | |
|
Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets. |
Clients can join and augment external and proprietary datasets for enrichment. | |
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Machine Learning-based Scoring Automated scoring of entities using trained machine learning models. |
No information available | |
|
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. |
Links to regulatory, financial and reference datasets are part of the onboarding and evaluation processes. |
Analytics & Insights
(3 Yes /3 Known /10 Possible features)
|
Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets. |
Marketplace features statistics, dashboards, and data exploration for users. | |
|
Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data. |
No information available | |
|
Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data. |
Highlight of customizable dashboards for users in product collateral. | |
|
Event Detection Algorithms Automated identification of significant new events within alternative data feeds. |
No information available | |
|
Multivariate Analysis Support Ability to analyze complex interdependencies between variables. |
No information available | |
|
Natural Language Processing Capabilities Built-in NLP tools for analyzing text-heavy alternative datasets. |
No information available | |
|
Visualization Export Options Export visualizations and charts in various formats (PDF, PNG, etc.). |
Raw and custom visualization options available; export as PDF/CSV available. | |
|
Backtesting Frameworks Ability to test investment strategies on historical alternative data. |
No information available | |
|
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 |
Scalability & Performance
(4 Yes /4 Known /10 Possible features)
|
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. |
Platform processes multiple data streams from various vendors concurrently. | |
|
Elastic Compute Integration Integration with cloud resources to scale up/down compute usage. |
BattleFin operates via cloud resources and supports elastic compute for growing user demand. | |
|
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. |
Scalable cloud storage mentioned for handling large-volume datasets. | |
|
Data Archival Automated, cost-effective archiving of old alternative datasets. |
No information available | |
|
Batch and Real-Time Processing Modes Support for both scheduled/batch and continuous real-time data pipelines. |
Both scheduled (batch) and continuous (real-time) trial access and pipelines available. | |
|
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 |
Security & Compliance
(3 Yes /3 Known /10 Possible features)
|
Role-Based Access Control Fine-grained permission management for users and groups. |
Role-based user settings and permissions for vendors and buyers are referenced on platform support and admin options. | |
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Data Encryption in Transit Encryption for alternative data while in transit between systems. |
No information available | |
|
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. |
Compliance support and data licensing is part of onboarding, referencing GDPR-type requirements. | |
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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. |
Explicit consent management and workflow for data licensing tracked on-platform. | |
|
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). |
No information available | |
|
Automated Regulatory Reporting Automated generation of reports required by financial regulators. |
No information available |
Integration & Interoperability
(7 Yes /7 Known /10 Possible features)
|
Standardized Data Export Ability to export alternative data in standard formats (e.g., FIX, CSV, Parquet, JSON). |
Download/trial/export options offered in multiple standard formats across datasets. | |
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Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems. |
Connectors and export integrations with portfolio management systems (e.g. Bloomberg EMSX, FactSet) referenced in vendor integration documentation. | |
|
Custom API Support Provision of a customizable API for bespoke use cases. |
API and SDKs available for programmatic data access, including custom workflow support. | |
|
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. |
Integrations offered for data visualization with BI platforms (Tableau, PowerBI, etc). | |
|
Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure). |
Cloud storage (AWS S3, Azure, GCS) is supported for data sync, onboarding, and delivery. | |
|
Python/R SDKs Official software libraries for interacting with the system programmatically. |
SDKs for Python and R are available for developers to interact with the data and API. | |
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Batch Data Download Scheduling Automate the extraction of new data in regular intervals. |
No information available | |
|
Custom Field Mapping Easily map alternative data fields to the internal structures of downstream systems. |
Field mapping tools included as part of loading data into downstream portfolio management and analytics platforms. | |
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Data Lineage Visualization Visual trace of data flow and transformations for downstream users. |
No information available |
Usability & User Experience
(5 Yes /5 Known /10 Possible features)
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Self-Service Data Discovery Non-technical users can search and preview available alternative datasets. |
Users can browse, search, and sample datasets directly in the Ensemble platform. | |
|
Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows. |
No information available | |
|
Customizable User Dashboards Users can assemble dashboards tailored to their needs. |
Dashboards are customizable per user role and portfolio via the UI. | |
|
In-Platform Documentation & Help Contextual help and API documentation available within the system. |
Contextual help and in-platform support/documentation are accessible from the user interface. | |
|
Global Search Search across datasets, metadata, and processing logs. |
No information available | |
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Process Monitoring UI Graphical overview of all ongoing and completed processes. |
UI provides process monitoring of data ingestion, vendor trials, and analytics workflow status. | |
|
Personalized Notifications Users receive alerts for errors or data arrivals relevant to them. |
Notification/alert features built in for workflow errors and new data arrivals. | |
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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 |
Monitoring & Operations
(3 Yes /3 Known /10 Possible features)
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Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows. |
API and process monitoring dashboards provide health status and alerting. | |
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Automated Failure Recovery Automatic restart or rerouting in case of pipeline errors. |
No information available | |
|
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. |
Concurrent trial processes, queuing, and task prioritization are referenced in technical documentation. | |
|
Real-time Error Notifications Immediate alerts to relevant teams upon failures. |
Immediate notifications for workflow failure and errors are available. | |
|
API Latency Monitoring Tracks response times of API endpoints. |
No information available | |
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Resource Usage Analytics Metrics and trends on compute, memory, and storage usage. |
No information available | |
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Capacity Planning Tools Forecast future system demands using historical trends. |
No information available | |
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Manual Job Restart/Intervention Allow operators to manually intervene in processing jobs. |
No information available | |
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Operational Audit Logs Detailed records of all operational activities and interventions. |
No information available |
Support & Vendor Services
(9 Yes /9 Known /10 Possible features)
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24/7 Technical Support Technical helpdesk is available around the clock. |
Helpdesk and support hours advertised as 24/7 (with options for onboarding and urgent inquiries). | |
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Dedicated Account Management Assigned representative familiar with your implementation and needs. |
Clients are assigned a dedicated account manager as part of onboarding described in sales materials. | |
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Implementation Services Availability of vendor-led onboarding and integration projects. |
Implementation services are a core offering for enterprise and fund management clients signing up for the platform. | |
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Custom Feature Development Vendor is willing to build bespoke features upon request. |
Custom requests for features and integrations are handled between BattleFin, data vendors, and clients. | |
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Knowledge Base and Training Materials Comprehensive documentation and self-paced training content. |
Online documentation, webinars, and training content is published by BattleFin. | |
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Onsite Training Vendor offers onsite workshops or training as part of onboarding. |
No information available | |
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Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times. |
SLAs regarding support, trial, and platform uptime are referenced in enterprise client contracts. | |
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User Community and Forums Active user groups and forums for community support. |
A user community and knowledge sharing forum is available for clients and vendors. | |
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Regular Product Updates Scheduled enhancement releases and security patching. |
Regular product enhancement releases and patch notes are published to clients. | |
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Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards. |
Vendor states support or compliance with leading third-party security standards and certifications (e.g., ISO 27001) in documentation. |
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