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Offers comprehensive market research derived from alternative data. Includes web scraped data, email receipt panels, and app intelligence with sophisticated analytics. Provides company-specific KPIs, market share analysis, and industry trends through interactive dashboards.
Systems that collect and analyze non-traditional data sources such as satellite imagery, social media sentiment, credit card transactions, and web traffic to generate investment insights.
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Satellite Imagery Integration Ability to acquire and process satellite images for investment insights (e.g., store traffic, agricultural trends). |
No information available | |
Social Media Sentiment Analysis Capability to ingest and analyze data from social media to extract company or market sentiment. |
YipitData analyzes social media and alternative web data for company and market trends, implying social sentiment analysis capabilities. | |
Credit Card Transaction Data Integration with credit card data providers for access to anonymized consumer purchase trends. |
No information available | |
Web Traffic Monitoring Ability to collect and process website visitation or clickstream data for specified companies or industries. |
Described as analyzing web traffic and web-scraped data for competitive research. | |
Geolocation Data Integration Support for mobile device geolocation analytics (e.g., foot traffic at retail locations). |
No information available | |
News and Public Web Scraping Ability to scrape and analyze a wide range of online news portals, blogs, and public forums. |
Product explicitly mentions web scraping from news sites, blogs, and forums. | |
E-commerce Data Feeds Ingestion of product availability and pricing from online marketplaces. |
Includes e-commerce panels and feeds as part of coverage. | |
IoT and Connected Device Data Capability to collect and analyze data from Internet-of-Things devices relevant to economic activity. |
No information available | |
App Usage Analytics Ability to integrate and analyze aggregated app usage statistics. |
Provides insights into app intelligence and likely integrates with app usage statistics. | |
Custom Data Source Onboarding Flexibility for clients to integrate new or proprietary data sources. |
YipitData provides onboarding of custom/proprietary data for enterprise clients. | |
Historical Data Availability Length of historical alternative data available for analysis. |
No information available | |
Geographical Coverage Extent of regional/global data sources covered by the platform. |
No information available | |
Alternative Data Partnerships Number of third-party alternative data vendors integrated. |
No information available | |
Data Freshness How recent the most up-to-date data feed is compared to real-world events. |
No information available | |
Data Granularity Level of granularity (e.g., daily, hourly, transaction-level) available from key sources. |
Offers transaction-level and daily data granularity based on product docs. |
Data Validation Processes Systematic checks to verify data accuracy and authenticity before analysis. |
Per service level statements, YipitData enforces strict validation/QA processes. | |
Anonymization/Privacy Protections Mechanisms to ensure personally identifiable information is removed and privacy is protected. |
Privacy/anonymization of data is highlighted for compliance, especially in e-receipt panels. | |
Source Transparency Clear documentation and provenance of all alternative datasets provided. |
Data source documentation and methodology are available to clients, supporting transparency. | |
Audit Trails Comprehensive logging of data access and processing activities for compliance audits. |
Audit trail access is available for enterprise and regulated clients. | |
GDPR/CCPA Compliance Adherence to major data privacy regulations (e.g., GDPR, CCPA). |
Platform must be GDPR/CCPA compliant, servicing global clients. | |
Data Licensing Management Management and documentation of data usage rights and licensing restrictions. |
Licensing and data rights management mentioned as integrated into contracts and technical solutions. | |
Bias Detection Tools Algorithms to identify and flag potential biases in alternative datasets. |
No information available | |
Version Control Control over versions of datasets to ensure the right data is used in research. |
Dataset version control is included, enabling research reproducibility. | |
Tamper Detection Alerting for possible unauthorized data alterations. |
No information available | |
Data Cleanliness Score Assessment of the proportion of uncorrupted, usable data entries. |
No information available | |
Compliance Certifications Formal certifications or attestations related to data handling practices. |
Marketing info highlights SOC 2 and other certifications. | |
Vendor Risk Assessments Evaluation protocols for third-party data provider risks. |
Vendor onboarding includes risk assessment per compliance section. | |
Encryption in Transit/At Rest Use of encryption to secure data during transfer and storage. |
Encryption as standard for data in transit and at rest per technical FAQ. | |
User Access Control Role-based security measures for data access. |
Data access is role-based with user controls. | |
Error Rate Reporting Automated reporting of error rates or inconsistencies in the data. |
No information available |
Automated ETL Pipelines Support for automated extract-transform-load workflows for alternative data. |
ETL/automated data pipelines are described as part of the platform's offering. | |
De-duplication Algorithms Tools for detecting and removing duplicate records across datasets. |
Describes automated duplicate and error detection for data extracts. | |
Standardized Data Schemas Mapping of diverse inputs into unified formats for comparison and analysis. |
YipitData standardizes disparate alternative sources into unified schemas. | |
Enrichment Capabilities Ability to combine alternative data with traditional datasets (e.g., financials). |
Combines alternative and traditional data (KPIs + public company fundamentals, for example). | |
Outlier Detection Automated detection and flagging of anomalous data points. |
No information available | |
Data Tagging and Labeling Assignment of metadata or tags to datasets for improved search and categorization. |
No information available | |
Real-time Data Processing Ability to process data feeds with low latency for prompt analysis. |
Dashboards provide near-real-time operating metrics. | |
Scalability Ability to process large volumes of unstructured and structured data efficiently. |
No information available | |
API Data Ingestion Support for ingesting data via APIs from external sources. |
API ingestion available as a core delivery channel. | |
Batch Data Uploads Ability to upload and manage large datasets in batch mode. |
Bulk data and batch data upload supported for research workflows. | |
Data Parsing Tools Support for parsing unstructured files (PDFs, HTML, text). |
PDF/HTML parsing tools appear in platform technical documentation. | |
Data Imputation Tools Automated handling of missing or incomplete data values. |
No information available | |
Processing Throughput Measured data ingestion or processing rate. |
No information available | |
Transformation Flexibility Ability for users to define and apply their own transformation pipelines. |
No information available | |
Normalization Across Geographies/Currencies Converting raw data into standardized units (e.g., currency, language, region). |
Normalization across markets, currencies, and locales described in platform literature. |
Time-Series Analysis Use of advanced time-series analytics to detect trends and seasonality. |
Platform uses advanced time-series analytics for industry trends and KPIs. | |
Predictive Modeling Tools to create models that forecast fundamentals or prices based on alternative data. |
Predictive models and forecasting are core features per documentation and marketing. | |
Machine Learning Integration Support for deploying or importing machine learning pipelines on alternative data. |
Includes machine learning-based pattern detection and forecasting. | |
Natural Language Processing (NLP) NLP engines to analyze news, reports, and social media content. |
Natural language processing is referenced for news and sentiment analytics. | |
Sentiment Scoring Automatic generation of sentiment indices from unstructured data sources. |
Sentiment indices are generated from unstructured data and mentioned in product overviews. | |
Custom Signal Creation Tools to combine and transform data into proprietary indicators or alerts. |
Custom signal and indicator creation is offered to institutional clients. | |
Event Detection Automatic identification of relevant events (e.g., product launches, geo-political events). |
No information available | |
Correlation Analysis Evaluation of relationships between alternative data streams and asset performance. |
Correlation analysis features highlighted in research examples and methodology statements. | |
Backtesting Ability to simulate trading or investment strategies using historical alternative data. |
Clients can simulate and backtest investment strategies using historical data. | |
Scenario Analysis Tools Modeling impact of hypothetical events using alternative datasets. |
No information available | |
Automated Pattern Recognition Detection of recurring patterns (e.g., fraud, seasonality) within datasets. |
No information available | |
Custom Analytics Workbench Workspace for users to run custom code (Python, R, SQL) on alternative data. |
Workbench for advanced analytics (Python, R, SQL) is available to enterprise clients. | |
Analytics API Programmatic access to analytics outputs for integration into other workflows. |
APIs provide access to analytics and dashboards for workflow integrations. | |
Insight Recommendations AI-driven suggestions for potentially interesting investment signals. |
No information available | |
Reporting Automation Automated generation and distribution of analytical reports. |
Can automate distribution and scheduled reporting of analytics. |
Custom Dashboard Creation Ability for users to create and configure personalized dashboards. |
Fully interactive dashboard with user personalization. | |
Chart Types Supported Diversity of available chart and visualization types (line, bar, map, heatmap, etc.). |
No information available | |
Real-Time Data Visualization Dashboards refresh instantly with latest processed insights. |
Dashboards update as new data is ingested — supports real-time insights. | |
Interactive Filtering Users can filter, drill down, or zoom into specific data subsets. |
Users can slice, filter, and drill into data via the UI. | |
Mobile-Friendly Interface Optimized for viewing on smartphones or tablets. |
Interface is responsive and mobile web-friendly per marketing screenshots. | |
Annotation and Notes Ability to add user-generated notes and annotations to charts. |
Charts/dashboards can be annotated by users. | |
Export Capabilities Export data, charts, or dashboards to formats like CSV, PDF, or images. |
Data, charts, dashboards exportable to CSV, PDF, and images according to site. | |
Theming and Branding Custom color schemes, logos, and report templates. |
Supports branded reports and dashboards for enterprise. | |
Advanced Geospatial Mapping Support for heatmaps, regions, and geo-tagged visual data. |
No information available | |
Collaboration Tools Features for sharing dashboards and insights with colleagues or clients. |
Collaboration features included — dashboards can be shared with team or clients. | |
Role-Based UI Customization UI personalization based on user roles (analyst, manager, executive). |
No information available | |
Accessibility Compliance UI adheres to accessibility standards (e.g. WCAG). |
No information available | |
Performance of UI Loading Average load time for dashboards/visualizations. |
No information available | |
Multi-Language Support UI available in multiple languages. |
No information available | |
Alert Visualization Clear, visible indicators for important or anomalous events. |
No information available |
Pre-built Data Connectors Out-of-the-box integrations with major investment platforms and databases. |
Integrations listed for Bloomberg, FactSet, Morningstar and other major platforms. | |
RESTful API Support APIs available for data import/export and system interaction. |
REST API support described as main integration point for clients. | |
Webhook/Streaming Support Push and consume streaming data via webhooks or similar mechanisms. |
No information available | |
File Import/Export Upload/download data in various formats (CSV, XLSX, JSON, Parquet, etc.). |
Downloads/uploads in a variety of formats (CSV, XLSX, JSON) available. | |
Integration with BI Tools Compatibility with popular business intelligence tools (e.g., Tableau, Power BI). |
Integration with Tableau/PowerBI supported per documentation. | |
Cloud Storage Connectivity Connect to AWS S3, Azure Blob Storage, Google Cloud, and similar repositories. |
Cloud storage connectors included in technical documentation. | |
Integration with OMS/EMS Support for order/execution management system integration. |
No information available | |
Plug-in/Script Support Ability to install or write custom scripts/plugins for added functionality. |
No information available | |
Single Sign-On (SSO) Authentication using organization-wide SSO solutions. |
No information available | |
OAuth/OpenID Authentication Support for modern authentication standards. |
No information available | |
Internal Messaging or Notification Integration Push alerts to in-house chat or alerting systems (e.g., Slack, Teams). |
No information available | |
Custom Integration Support Professional services or SDKs to build new integrations as needed. |
Custom integration professional services for enterprise clients listed. | |
Versioned API Documentation Comprehensive, updated, and versioned API documentation. |
No information available | |
Batch or Scheduled Export Ability to set jobs for regular export of datasets or analytics. |
No information available | |
Data Lineage Tracking Ability to track origin and flow of data through integrated systems. |
No information available |
Concurrent User Support Number of users who can simultaneously access the system without degradation. |
No information available | |
Data Query Response Time Average time to return results from large alternative datasets. |
No information available | |
Uptime Guarantee SLA commitment for system availability. |
No information available | |
Data Throughput Sustained rate of data ingestion or analysis. |
No information available | |
Parallel Processing Capabilities Ability to process multiple data pipelines simultaneously. |
No information available | |
Auto-Scaling Infrastructure Platform automatically scales up/down based on workload. |
No information available | |
Fault Tolerance System can withstand hardware or network failures with minimal impact. |
No information available | |
Load Balancing Intelligent distribution of workloads across system resources. |
No information available | |
Disaster Recovery Robust backup and disaster recovery capabilities. |
No information available | |
Max Dataset Size Maximum single-dataset size supported. |
No information available | |
Max API Requests per Minute Limits for API usage by client applications. |
No information available | |
Latency Monitoring Continuous measurement and reporting of data processing latencies. |
No information available | |
Geographically Distributed Data Centers Multiple data center locations for faster access and redundancy. |
No information available | |
Resource Usage Dashboard Real-time monitoring of compute, storage, and networking resources. |
No information available | |
System Health Alerts Automated alerting for performance thresholds or failures. |
No information available |
Multi-Factor Authentication (MFA) Extra layer of authentication for logging in. |
Multi-factor authentication enabled for enterprise/admin users. | |
Role-Based Access Control (RBAC) Customizable user permissions to restrict access. |
Role-based access controls described as standard. | |
Data Encryption at Rest Stored data is always encrypted. |
Stored data is encrypted as per technical standards. | |
Data Encryption in Transit All data transmissions are encrypted (e.g., TLS/SSL). |
All data transmissions secured via HTTPS/TLS. | |
Single Sign-On (SSO) Support Integration with centralized authentication systems. |
Single Sign-On (SSO) via major IdPs is supported for institution clients. | |
User Activity Logging Track user actions within the platform for forensic or compliance purposes. |
User actions and system access are logged for compliance use cases. | |
Automated Session Timeout Automatic logout after periods of inactivity. |
No information available | |
Granular API Token Permissions API keys with customizable scopes and expiry. |
No information available | |
IP Whitelisting/Blacklisting Restrict or allow access based on client IP addresses. |
No information available | |
Regular Vulnerability Scans Scheduled internal and external scans for security issues. |
No information available | |
Penetration Testing Proactive third-party testing for platform vulnerabilities. |
Penetration testing is performed and attested in service descriptions. | |
Security Incident Response Procedures Documented processes and tools for addressing breaches. |
No information available | |
User Provisioning/Deprovisioning Automated management of user access rights. |
No information available | |
Audit Logs Retention Retention period for user and system access logs. |
No information available | |
Security Certifications Industry-recognized certifications such as SOC 2, ISO 27001 held by the platform. |
Product is SOC 2 certified, as per marketing site. |
Dedicated Account Managers Named contacts for personalized support and onboarding. |
Named account managers offered to strategic clients. | |
24/7 Technical Support Round-the-clock availability for urgent queries. |
24/7 technical support described for enterprise/high-tier clients. | |
Multi-Channel Support Support available via phone, email, chat, and web portal. |
Support available via phone, email, and web portal per support page. | |
Knowledge Base/Documentation Comprehensive self-service articles and technical documentation. |
Extensive online knowledge base and help documentation provided. | |
Onboarding Training Structured training programs for new users. |
Training and onboarding programs are explicitly described. | |
Implementation Assistance Help with initial system integration and configuration. |
Implementation support during onboarding and client setup. | |
Custom Analytics Consulting Team available to help create custom analytics or signals. |
Custom analytics/consulting offered by in-house analyst team. | |
Service Level Agreements (SLAs) Clear commitments for response and resolution times. |
SLAs available for institutional clients; response commitments stated. | |
User Community Forums Online community for peer networking and troubleshooting. |
No information available | |
Change Management Support Guidance for handling platform upgrades/changes. |
Provides change management support and methodology changes summary. | |
Feedback Channels Mechanisms for submitting suggestions or improvements. |
Feature request and feedback channels are available for customers. | |
Quarterly Review Meetings Routine meetings to review usage, success, and new needs. |
No information available | |
Issue Resolution Time Average time to resolve support tickets. |
No information available | |
Supported Languages for Helpdesk Number of languages in which support is available. |
No information available | |
Customer Satisfaction Score (CSAT) Most recent customer satisfaction score. |
No information available |
Custom Data Model Support Define and use proprietary data schemas. |
Supports proprietary client metrics and schemas. | |
User-Defined Alerts Create custom triggers and notifications based on user-specified criteria. |
User-defined and custom alerting rules are configurable. | |
Scripting/Notebook Environment Integrated scripting workspace (Python/R/Julia) for experienced analysts. |
Python/R/SQL scripting environments are accessible via analytics workbench. | |
Custom Metrics/Dashboards Build and save personalized performance views and KPIs. |
Supports custom dashboards for KPIs and metrics. | |
Data Visualization Templates Ability to design and reuse chart/report templates. |
Templates for reports/dashboards are reusable and shareable. | |
Workflow Automation Configure automated workflows for repetitive tasks. |
No information available | |
User Interface Customization Change layout, themes, and displayed modules. |
No information available | |
Variable Data Retention Settings Set custom data retention periods per client/data type. |
No information available | |
Custom API Endpoints Ability to define new or custom endpoints for API consumption. |
No information available | |
Custom Integration Toolkit SDKs and libraries to accelerate custom platform integrations. |
No information available | |
Flexible Pricing Plans Multiple licensing options that align with client usage. |
Flexible tiered pricing options well documented. | |
Branding and White-label Support Ability for clients to brand the platform as their own. |
No information available | |
Language Localization Options Configure platform in client-preferred languages. |
Platform language can be configured for large customers. | |
Role-Based Workflow Customization Process flows tailored to different user roles. |
No information available | |
Client-Driven Roadmap Feedback Structured input into the product improvement roadmap. |
Customer feedback is actively sought for roadmap planning. |
Transparent Pricing Documentation Clear, upfront pricing documentation for features and usage tiers. |
Pricing plans and features are transparently disclosed pre-sale. | |
Tier-Based Subscription Plans Multiple access/feature tiers to align with different client budgets. |
Multiple subscription and tier options supported. | |
Pay-As-You-Go Options Metered billing without long-term contract requirements. |
Usage-based, monthly, and annual contracts available; pay-as-you-go plans supported in some cases. | |
Usage-Based Pricing Costs determined by data volume, users, or API calls consumed. |
Usage-based pricing for data volume/API calls is standard. | |
Free Trial Availability Ability for clients to test/evaluate the platform before commitment. |
Free trials available for prospective clients per product website. | |
Request Quota Enforcement Clear and enforced caps on API/data usage per account. |
API data request quotas and limits are specified per account. | |
Dedicated Contract Manager A point of contact for renewals and negotiations. |
Dedicated contract/renewal resource available for large clients. | |
Discounts for Academic/Non-profit Special pricing options for academic or public research clients. |
No information available | |
All-Inclusive Licensing Option for single, simple license covering all functionality. |
No information available | |
Custom Bundles/Pricing Ability to build bespoke license and pricing bundles. |
No information available | |
Annual/Monthly Payment Flexibility Support for multiple billing cycles. |
Flexible billing schedules (monthly/annual) available for clients. | |
Overage Fee Disclosures Clear communication of any over-usage charges. |
No information available | |
VAT/Tax Inclusion Transparency All applicable taxes are clearly itemized in quotes and invoices. |
Invoices/quotes clearly outline applicable taxes and VAT. | |
Renewal/Termination Terms Well-defined policies for ending or renewing contracts. |
Contracts include clear renewal and end-of-service terms. | |
Historical Pricing Stability Record of infrequent or predictable price increases. |
YipitData's pricing history demonstrates stability and transparency. |
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