Scalable Analytics for Every Domain
Solar
- • Centralized analytics dashboards for system performance monitoring.
- • Custom ETL pipelines for solar sensor and inverter data.
- • Automated generation and billing data reconciliation.
- • Smart alerting on energy loss and panel downtime.
- • Reporting for government incentives, subsidies, and compliance.
- • Forecasting models for production vs. consumption.
- • Integration with SCADA, weather, and GIS data.
Contact Centers
- • Real-time dashboards for call volumes and agent performance.
- • Analytics on customer sentiment and churn drivers.
- • Speech-to-text and conversation analytics.
- • Agent scheduling optimization using historical data.
- • Predictive models for call deflection and channel shift.
- • SLA tracking and alerting for escalations.
- • Executive reports tied to operational KPIs.
Financial Services
- • Automated transaction anomaly detection.
- • Customer lifetime value and churn models.
- • Wealth and portfolio management dashboards.
- • Regulatory reporting (Basel, IFRS, etc.).
- • Fraud detection pipelines using historical patterns.
- • Integration with core banking, CRM, and ERP systems.
- • Credit scoring models using external and internal data.
Healthcare
- • Patient flow optimization dashboards.
- • Claims data cleansing and automation.
- • Predictive modeling for patient risk and readmission.
- • Research analytics with de-identified datasets.
- • Lab data normalization across devices/sources.
- • Inventory tracking for medical supplies.
- • Compliance-ready reporting for HIPAA and other standards.
Retail
- • Real-time inventory and order tracking dashboards.
- • Channel performance analytics (online, offline, social).
- • Dynamic pricing models and A/B test reporting.
- • Store heatmaps and footfall analytics (for physical stores).
- • Supply chain analytics and stockout forecasting.
- • Integration with POS, Shopify, and other commerce tools.
Manufacturing
- • Real-time production line dashboards.
- • Predictive maintenance using sensor and machine data.
- • Quality control analytics with root cause detection.
- • Demand forecasting and raw material planning.
- • Worker productivity and shift optimization dashboards.
- • Supplier performance analytics.
- • Digital twin integration for operations modeling.
