What this tool does
DataPulse sits between your raw CSV files and Power BI. Claude AI automatically cleans messy data, calculates derived metrics, flags anomalies, and exports a perfectly structured Excel file with 6 pre-built analysis sheets — load it directly into Power BI with zero manual setup. What used to take hours of data prep now takes seconds.
See exactly what happens to your data
Step 1 — raw CSV
→
Step 2 — Claude cleans
→
Step 3 — Excel export
→
Step 4 — Power BI
Upload your CSV file
Claude will automatically clean it and prepare it for Power BI
or drag & drop your CSV
Main Analysis
Interactive — change controls above
Distribution by Category
Breakdown
Multi-metric Trend
Trend
Step 3 — Export directly to Power BI
No Python, no setup. Click the button and get a Power BI-ready Excel file with 6 pre-built sheets instantly.
What gets exported — 6 sheets ready to load
Clean_Data
Full cleaned dataset — Power BI connects here as primary source
Monthly_Summary
Usage and cost aggregated by month and category
Category_Totals
Performance summary per category
Anomaly_Report
Auto-flagged outliers and threshold alerts
Correlation
Relationships between numeric columns
KPI_Summary
Executive metrics — totals, averages, min, max per column
How to load into Power BI
1
Click Download Power BI Excel above — file generates instantly in your browser
2
Open Power BI Desktop → click Get Data → select Excel Workbook
3
Load Clean_Data as your primary table, add summary sheets as lookup tables
4
All columns are pre-typed and named — build visuals immediately, zero manual prep needed (this is what the AI automated)