Anthril

Build rule-based and statistical anomaly detection systems for business metrics — revenue drops, traffic spikes, churn increases, cost overruns

Design cohort analysis frameworks with SQL queries, visualisation specs, and interpretation guides for retention, revenue, and churn analysis

Auto-generate comprehensive data dictionaries from database schemas, CSV files, or API responses with column definitions, relationships, and Mermaid ERD

Design ETL/ELT pipeline architectures with data flow diagrams, transformation specs, orchestration, and error handling for Supabase and BigQuery

Profile datasets and audit data quality — assess completeness, validity, consistency, uniqueness, timeliness, and accuracy with prioritised cleaning recommendations