One platform. Every insight.

Unified Data Layer

27 native connectors plus drag-and-drop CSV upload feed into a canonical data model in BigQuery. Orders, customers, products, and order items are standardized with row-hash deduplication.

35 Analytics Goals

Organized across 7 categories — Revenue, Customers, Products, Operations, Growth, Intelligence, and Risk — covering everything from sales forecasting to fraud detection.

7 BigQuery ML Models

Churn prediction, customer LTV, demand forecast, price elasticity, revenue forecast, next purchase timing, and fraud detection — all trained per-tenant on your data.

Claude AI Chat

Ask questions in plain English and get AI-powered answers backed by your actual data. Claude AI transforms KPIs into executive-ready narratives and actionable recommendations.

Enterprise Security

AES-256 encryption at rest, TLS 1.3 in transit, SSO (SAML/OIDC), SCIM 2.0 provisioning, MFA enforcement, IP allowlist, and granular RBAC with tenant-level isolation.

Enterprise Data Pipeline

8-stage pipeline: encoding detection, normalization, deep cleaning, deduplication, PII scanning, validation, referential integrity checks, and quality scoring — fully automated.

15+ Enrichment Sources

FRED economic indicators, Census demographics, World Bank data, Bank of Canada rates, FX rates, weather data, holiday calendars, and industry benchmarks enrich your analytics.

40 dbt Analytical Models

Production-ready dbt marts covering customer 360, sales daily, product metrics, cohorts, RFM, basket pairs, fraud detection, demand forecast, and 32 more — built and maintained automatically.

Data Quality Monitoring

Automated quality scores, statistical drift detection, PII auto-masking, quarantine for bad rows, and resolution workflows. Know exactly how clean your data is.