PINYA XP's GROOVY platform collects structured data across multiple touchpoints throughout the cannabis supply chain:
- Authentication Events: Every QR-NFT scan generates 32+ data points
- Consumer Interactions: Session duration, page views, content engagement
- Product Journey: Timestamps at each supply chain checkpoint
- Retail Analytics: Point-of-sale integration and in-store verification patterns
- Consumer Feedback: Structured ratings and open-text responses
- Geographic Coordinates: Location-based verification mapping
- Device Metrics: Operating system, model, and app version data
- Temporal Patterns: Time-of-day, day-of-week, and seasonal trends
Data collection maintains strict privacy controls, with all personally identifiable information (PII) anonymized while preserving analytical value.
- Real-Time Processing: Sub-second data ingestion and processing
- Cross-Dataset Integration: Unified analysis across disparate data sources
- Automated Anomaly Detection: Statistical pattern recognition identifying outliers
- Cohort Analysis: Tracking behavior across defined user segments
- Funnel Visualization: Step-by-step conversion analysis
- Attribution Modeling: Multi-touch attribution for marketing activities
- Time-Series Analysis: Temporal pattern recognition with seasonal adjustments
- Interactive Dashboards: Role-based data visualization interfaces
- Geospatial Mapping: Heat maps and location-based analytics
- Comparative Analysis Tools: Side-by-side metric evaluation
- Trend Identification: Automated detection of statistically significant patterns
- Custom Reporting Engine: Personalized analytics delivery
- Mobile Visualization: Responsive dashboards for on-the-go access
- Export Capabilities: Data extraction in multiple formats (CSV, Excel, PDF)
- Automated Scheduled Reports: Regular delivery of key metrics
- Alert Mechanisms: Threshold-based notifications for critical metrics
- KPI Tracking: Customizable performance indicators
- Drill-Down Capabilities: Multi-level data exploration
- Benchmark Comparisons: Performance evaluation against industry standards
- Historical Trending: Long-term pattern analysis with regression modeling
- Data Storytelling: Narrative-driven analytical presentations
- Verification Rate Tracking: Percentage of products authenticated vs. distributed
- Scan-Through Analysis: Multiple authentication events per product
- Authentication Timeline: Time from production to first verification
- Trust Metrics: Consumer confidence indicators based on verification behavior
- Counterfeit Detection: Statistical analysis identifying potential fraudulent products
- Geographic Verification Mapping: Location-based authentication patterns
- Device Distribution Analysis: Authentication by device type and operating system
- Demographic Segmentation: Age, gender, and location analytics
- Engagement Metrics: Time spent, pages viewed, actions taken
- Interaction Heatmaps: Visual representation of engagement patterns
- Retention Analysis: Return rate and frequency patterns
- Rewards Program Participation: Gamification engagement statistics
- Session Analysis: Visit frequency, duration, and activity patterns
- Content Consumption: Educational material engagement metrics
- Category Comparison: Cross-category authentication patterns
- Product Ranking: Verification-based popularity metrics
- Attribute Analysis: Correlation between product features and verification rates
- Price-Point Analysis: Authentication patterns across price segments
- Product Lifecycle Tracking: Authentication trends throughout product lifespan
- Seasonal Variation: Temporal patterns in product verification
- Format Preferences: Comparative analysis of delivery methods
- Competitive Benchmarking: Performance metrics against industry averages
- Market Share Analysis: Verification-based penetration metrics
- Regional Variation: Geographic performance differentials
- Demand Forecasting: Predictive modeling based on verification trends
- Channel Analysis: Dispensary vs. delivery verification patterns
- Price Sensitivity Modeling: Effect of pricing on verification behavior
- Brand Loyalty Metrics: Repeat verification patterns by brand
¶ FOR BRANDS
- Brand Performance Dashboard: Comprehensive visualization of key metrics
- Product Portfolio Analysis: Comparative performance across product lines
- Consumer Sentiment Tracking: Aggregated feedback data and trends
- Market Penetration Metrics: Geographic distribution of verifications
- Campaign Impact Assessment: Verification spikes correlated with marketing efforts
- Competitive Intelligence: Relative market position based on verification data
- Loyalty Analytics: Repeat customer behavior and retention metrics
- Inventory Intelligence: Product verification rates and velocity
- Customer Journey Mapping: Path-to-purchase visualization
- Staff Performance Metrics: Verification rates by budtender
- In-Store Analytics: Physical location verification patterns
- Basket Analysis: Product combinations and purchase patterns
- Local Market Positioning: Competitive analysis within service area
- Customer Retention Metrics: Repeat visit patterns and frequency
- Strain Performance Metrics: Verification data by genetic variety
- Royalty Stream Analysis: Revenue tracking from genetic IP
- Consumer Preference Patterns: Attribute analysis by strain
- Geographic Acceptance: Regional variations in strain popularity
- Seasonal Demand Fluctuations: Temporal analysis of strain verification
- Competitive Strain Analysis: Market position relative to similar genetics
- Product Development Insights: Gap analysis for market opportunities
PINYA XP delivers data analytics through multiple channels:
- Web Portal: Interactive dashboard with role-based access controls
- Mobile Application: Key metrics and alerts on mobile devices
- API Integration: Direct data connectivity with existing systems
- Email Reports: Scheduled delivery of critical metrics
- Exportable Datasets: Self-service data extraction capabilities
- Notification System: Real-time alerts for critical metrics
- Dedicated Analytics Team: Human support for complex analysis
Our data analytics infrastructure prioritizes security and compliance:
- End-to-End Encryption: SHA-256 encryption for all data in transit and at rest
- Role-Based Access Controls: Granular permissions for data accessibility
- Anonymization Protocols: PII protection through advanced techniques
- Compliance Documentation: Audit trails for regulatory requirements
- Data Residency Options: Geographic control of data storage
- Retention Policies: Configurable data lifecycle management
- Regular Security Audits: Third-party verification of security measures
The GROOVY analytics infrastructure is built on enterprise-grade technology:
- Database Architecture: Distributed NoSQL database with redundancy
- Processing Infrastructure: Scalable cloud computing environment
- Query Performance: Sub-second response time for most analytics requests
- Data Volume Capacity: Billions of individual data points
- Availability SLA: 99.99% uptime guarantee
- Throughput Capacity: 1,000+ concurrent users without performance degradation
- Integration Capabilities: REST API, webhook support, SDK availability
PINYA XP's data analytics services transform verification interactions into actionable business intelligence, empowering stakeholders throughout the cannabis ecosystem with the insights needed to make data-driven decisions.