AI Data Analyst Agent for teams without a data team

Your AI data analyst — datastores, cleanup, and charts

Most teams have data they can’t use — customer exports, survey responses, product analytics, billing records — trapped in messy CSVs nobody has time to clean. Fasrad’s AI data analyst is built for that exact gap: import, clean, chart, query — without a data engineer in the room.

Upload a CSV or share a Google Sheet. Your agent creates a structured datastore (think typed database table) and offers to normalize it — fix malformed emails, collapse duplicates, standardize categories, fill obvious gaps. Every bulk edit has a dry-run preview and a 90-day undo window so mistakes are recoverable.

Strongest benefits:

• CSV + Sheet import — schema inferred, types assigned, indexes created automatically.
• Bulk cleanup with preview — regex replace, case normalize, dedupe, retag thousands of rows at once.
• 90-day undo window — every batch edit snapshotted; roll back by description or operation ID.
• Chart rendering — bar / line / pie / table from natural language (*“revenue by region, last 4 quarters”*).
• Conversational queries — ask in plain English; your agent writes the filter and returns results + a chart.

The bulk edit + undo combination is unique to Fasrad. Nothing in the spreadsheet + AI chatbot world offers preview-before-commit with content-hashed rollback. You can retag 10,000 customers, see it’s wrong the next day, and undo it by saying *“roll back yesterday’s category retag.”*

Works for product analytics (events from CSV), CRM cleanup (deduping thousands of contacts), survey analysis (cleaning open-text responses + charting sentiment), financial reporting (quarterly revenue roll-ups). Not a replacement for a dedicated data warehouse — but for the 80% of tabular work your team actually runs, it removes the analyst bottleneck.