CSV data analysis
Analyze CSV data without building a reporting stack
Upload CSV data and turn raw rows into quality checks, business findings, charts, dashboards, forecasts, and practical next steps with Datumry.
A repeatable path from data to action
Use the portable data exports you already have to answer business questions quickly and preserve the analysis for later review.
Add a CSV export
Upload sales, campaign, customer, finance, or operating records from the systems your business already uses.
Inspect the evidence
Datumry identifies field roles, missing values, distributions, trends, segment gaps, and other signals worth reviewing.
Build the decision view
Save useful charts and findings in a dashboard with context, limitations, and a clear next action.
What the workflow includes
- CSV, TSV, JSON, and Excel support
- Transparent methods and limitations
- Forecasting, regression, clustering, and anomaly detection
- Exports and shareable dashboard snapshots
Frequently asked questions
Does Datumry change my original CSV?
No. Preparation recipes are reviewed and applied inside the project workflow; keep the original export as your source copy.
Can I combine multiple CSV files?
Yes. Datumry can model relationships between compatible sources so analysis can use more than one dataset.