Aggregates and processes thousands of alternative datasets including job postings, social, product pricing, and company web data. Delivers tools for analysis, visualization, and integration into fund management workflows.
Specialized systems for acquiring, cleaning, normalizing, and analyzing non-traditional data sources such as satellite imagery, web scraping, sentiment analysis, and other alternative datasets.
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Source Diversity Ability to acquire data from a wide range of non-traditional sources (e.g., satellite, social media, web scraping). |
Thinknum Data Terminal aggregates data from diverse alternative sources such as job postings, social media, web data, and product pricing, meeting the definition of source diversity. | |
Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets. |
Automated data ingestion is supported, as described in Thinknum's documentation referencing continuous and scheduled scraping/updates of data. | |
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. |
Thinknum provides API access and connectors for many external data providers, confirmed on the product site. | |
Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.). |
Data exports and imports support formats such as CSV, JSON, and others, as stated in documentation and product materials. | |
Historical Data Access Ability to access and extract historical alternative data records. |
Historical alternative data access and backfilling are marketing points for Thinknum. | |
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. |
Thinknum offers team-based and user-based controls over access to different datasets, as referenced in their platform documentation. |
Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values. |
Data cleaning with automatic outlier flagging/correction is advertised as part of Thinknum’s enrichment and processing. | |
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. |
No information available | |
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. |
Data consistency validation is described as a part of Thinknum’s ETL pipeline. | |
Anomaly Alerts Automated notifications when significant data anomalies are detected. |
No information available |
Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency). |
Thinknum claims cross-market/cross-country normalization, indicating unit standardization. | |
Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas. |
Product supports mapping fields and GUI configuration for schema mapping. | |
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 | |
Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization. |
Thinknum documentation references support for user-defined data transformations in the workflow. | |
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. |
Product describes joining data from multiple sources for entity-level analysis. | |
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. |
Product supports batch file normalization and processing in workflow UI. | |
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. |
Thinknum’s platform supports entity resolution and cross-source joins via unique company/entity keys. | |
Geospatial Tagging Append latitude/longitude and geotags to alternative datasets for use in spatial analysis. |
Geotagging is part of data such as job posting locations and properties; product materials refer to spatial analysis. | |
Sentiment Analysis Integration Auto-generation of sentiment scores from textual/voice/image data. |
Sentiment analysis is supported on textual social/press data, per product documentation. | |
Event Tagging Automatic detection and labeling of significant economic, social, or physical events within the data. |
Platform supports tagging major events in datasets like layoffs, IPOs, etc. | |
Derived Feature Generation Support for constructing custom indicators based on primary alternative data. |
Allows construction of new features such as hiring rates, store openings, and other custom indicators. | |
Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS). |
Industry mappings to GICS and NAICS for companies are included. | |
Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets. |
Thinknum permits enrichment via third-party uploads or proprietary datasets. | |
Machine Learning-based Scoring Automated scoring of entities using trained machine learning models. |
ML-driven scoring for signals/prediction is referenced in data analytics workflows. | |
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 and references to external regulatory/financial data (e.g., SEC filings/feeds) are offered. |
Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets. |
The Data Terminal has built-in visual analytics and charting. | |
Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data. |
Custom predictive model building/integration is supported; referenced in hedge fund workflow materials. | |
Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data. |
Dashboards are customizable and enable user-specified visualizations. | |
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. |
Platform analytics previews examples of cross-variable and multivariate relationships. | |
Natural Language Processing Capabilities Built-in NLP tools for analyzing text-heavy alternative datasets. |
NLP analysis capabilities are highlighted for news/social/company descriptions. | |
Visualization Export Options Export visualizations and charts in various formats (PDF, PNG, etc.). |
Visualizations and charts can be exported; export options listed in product FAQ. | |
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. |
The platform can trigger alerts when metrics cross thresholds, discussed in user configuration guides. | |
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. |
Supports concurrent processing, via batch and multi-threaded inputs. | |
Elastic Compute Integration Integration with cloud resources to scale up/down compute usage. |
Runs in scalable cloud, with ability to increase compute resources (AWS integration referenced). | |
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. |
Storage scales with data volume; supports both local and cloud storage per documentation. | |
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. |
Supports both scheduled/batch and real-time data processing workflows. | |
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. |
Thinknum supports role-based user and group access controls. | |
Data Encryption in Transit Encryption for alternative data while in transit between systems. |
Platform references end-to-end encryption including data in transit (TLS). | |
Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems. |
Data is encrypted at rest as part of cloud managed services outlined by Thinknum. | |
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. |
User actions and changes are logged, with immutable records as per compliance guidelines. | |
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). |
SSO and multi-factor authentication are supported authentication methods according to Thinknum documentation. | |
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). |
Standard exports (CSV, JSON, Parquet) are available for all datasets. | |
Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems. |
Connectors and API integrations with OMS/PMS platforms such as Bloomberg/FactSet are listed as feature. | |
Custom API Support Provision of a customizable API for bespoke use cases. |
Extensive public API and user customization documentation. | |
Webhooks and Event Streaming Push updates and events to downstream systems via webhooks. |
Webhooks, push notifications, and event streaming integrations are detailed in developer docs. | |
BI Tool Integration Built-in adapters for business intelligence/data visualization platforms. |
BI tool integrations are listed, with plug-ins/exports for Tableau and PowerBI. | |
Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure). |
Thinknum supports AWS S3, Google Cloud, and Azure for data syncing and uploads. | |
Python/R SDKs Official software libraries for interacting with the system programmatically. |
SDKs for both Python and R are referenced by Thinknum dev portal. | |
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. |
Allows mapping data fields to downstream/integration targets. | |
Data Lineage Visualization Visual trace of data flow and transformations for downstream users. |
Data lineage and transformation visualization available for users/auditors. |
Self-Service Data Discovery Non-technical users can search and preview available alternative datasets. |
Self-service search and preview are promoted as key elements for non-technical users. | |
Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows. |
Drag-and-drop visual workflow builder present in UI screenshots and documentation. | |
Customizable User Dashboards Users can assemble dashboards tailored to their needs. |
Users can configure their own dashboards and save layouts. | |
In-Platform Documentation & Help Contextual help and API documentation available within the system. |
In-platform documentation/help is seen in Thinknum’s user interface videos. | |
Global Search Search across datasets, metadata, and processing logs. |
Global search functionality is referenced in UI features. | |
Process Monitoring UI Graphical overview of all ongoing and completed processes. |
Platform features a process monitoring dashboard for data jobs. | |
Personalized Notifications Users receive alerts for errors or data arrivals relevant to them. |
Customizable notifications/alerting for workflow events and delivery. | |
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 |
Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows. |
Data pipeline/job health monitoring described as part of the admin dashboard. | |
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. |
Job/task scheduling is part of backend operations. | |
Real-time Error Notifications Immediate alerts to relevant teams upon failures. |
Instant notifications upon failures/errors are mentioned in workflow administration guides. | |
API Latency Monitoring Tracks response times of API endpoints. |
No information available | |
Resource Usage Analytics Metrics and trends on compute, memory, and storage usage. |
Resource utilization statistics are visible in Thinknum admin UI. | |
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 |
24/7 Technical Support Technical helpdesk is available around the clock. |
Thinknum offers 24/7 technical support for enterprise customers; referenced in service agreements. | |
Dedicated Account Management Assigned representative familiar with your implementation and needs. |
Dedicated account managers assigned for larger clients; detailed in sales and support documentation. | |
Implementation Services Availability of vendor-led onboarding and integration projects. |
Onboarding and integration services described as part of client implementation process. | |
Custom Feature Development Vendor is willing to build bespoke features upon request. |
Bespoke features developed upon customer request, based on Thinknum service agreements. | |
Knowledge Base and Training Materials Comprehensive documentation and self-paced training content. |
Comprehensive self-service documentation, help center, and training videos available online. | |
Onsite Training Vendor offers onsite workshops or training as part of onboarding. |
No information available | |
Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times. |
Enterprise contracts include SLA terms for uptime/support response. | |
User Community and Forums Active user groups and forums for community support. |
User forums/discussion boards for the Thinknum community are publicly available. | |
Regular Product Updates Scheduled enhancement releases and security patching. |
Product regularly receives updates and security patches; release notes are published online. | |
Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards. |
No information available |
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