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pipeline stages
upload through dbt/ML scoring
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data source connectors
databases, APIs, SaaS platforms
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quality services
cleaning, encoding, PII, drift, integrity, quarantine, monitoring
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quality dimensions
completeness, validity, uniqueness, consistency, accuracy
Capabilities
Enterprise data reliability at every layer
7 quality services with 3,427 lines of validation logic. From encoding detection to schema drift, every data quality concern is handled automatically.
8-Stage Pipeline Monitoring
Track every upload through all 8 stages: encoding detection, normalization, deep clean, PII scan, validation gate, referential integrity, BigQuery staging, and dbt/ML scoring. Real-time status for each stage.
Data Quality Alerts
Automatic quality alerts trigger when scores drop below thresholds on completeness, validity, uniqueness, or consistency. Acknowledge, investigate, and resolve alerts with full audit trail.
Quality Score Dashboard
Composite quality score computed from 5 dimensions: completeness, validity, uniqueness, consistency, and accuracy. Quality trend visualization over time per dataset type.
Anomaly Detection (Z-Score)
Z-score based anomaly detection flags statistical outliers in revenue, order volume, and customer metrics. Alerts trigger before anomalies compound into downstream data quality issues.
Schema Drift Detection
Statistical profiling detects schema changes and data distribution shifts between uploads. Flags new columns, removed columns, type changes, and distribution anomalies.
PII Detection and Masking
Automated scanning for credit cards (Luhn validation), SSNs, and bank account numbers. Detected PII is auto-masked before data enters BigQuery. Full scan audit trail maintained.
Quarantine Management
Bad rows are automatically quarantined with reason codes and severity levels. Resolve by reingesting, excluding, or marking as false positive. Row-level quarantine audit trail.
27 Data Source Connectors
Shopify, Amazon, WooCommerce, Stripe, HubSpot, Google Analytics, PostgreSQL, MySQL, SQL Server, and 18 more. Each connector feeds into the same 8-stage validation pipeline.
8-Stage Pipeline
Full pipeline from upload to ML scoring
Every row passes through all 8 stages. Failed rows are quarantined with reason codes. Quality scores are computed at each stage.
7 Quality Services
Enterprise data quality, built in
3,427 lines of production validation logic across 7 specialized services. Each service is independently testable and handles a specific quality concern.
Single pane of glass
Every pipeline. One screen.
Pipeline run tracking, data quality monitoring, quarantine management, upload history, anomaly detection, and schema drift -- consolidated into a single dashboard with alerting and resolution workflows.
Enterprise data quality and pipeline observability
8-stage pipeline, 7 quality services, 27 connectors, anomaly detection, schema drift monitoring, PII masking, and quarantine management -- all built in.