AI Data Analysis Workspace

Anomaly AI is an AI data analyst designed for recurring business reports. It converts large datasets from spreadsheets, GA4, ad platforms, and databases into trusted interactive dashboards, insights, and refreshable reports where every number remains traceable to its source.

The platform follows a structured workflow. Users first connect data from Excel, Google Analytics 4 properties, ad accounts, Google Sheets, data warehouses, or databases such as BigQuery, Snowflake, and MySQL. It then automatically validates incoming data, detects types, and scans for quality issues including inconsistencies, duplicates, problematic date formats, missing values, and outliers. This cleaning step establishes a reliable foundation for subsequent work.

After cleaning, users apply custom definitions and calculations to produce source-backed KPIs, metric definitions, business rules, trend analyses, and summaries. These elements can be reviewed, reused, and traced to original data and logic. The final step generates interactive dashboards, refreshable business reports, and stakeholder-ready summaries that include transparent logic, source data, assumptions, and calculations. Reports update when new data arrives, supporting repeatable processes.

The tool targets teams that rely on spreadsheet workflows but need a more reliable layer for larger, messier operational datasets. Named use cases include weekly marketing performance reviews that incorporate GA4, Search Console, and ad-platform data; finance and margin analysis drawn from recurring spreadsheets; customer and product reporting on retention, feature usage, and cohorts; people and team reporting from HR, support, and operations data; operations dashboards covering production, inventory, service levels, and costs; and client or stakeholder report packs that move from raw exports to evidence-backed outputs. Delivery occurs through a web-based workspace with connectors for the listed data sources.