Interactive demo

From messy spreadsheets to a live dashboard.

Real operations data rarely arrives clean. This is what happens to it automatically — before it ever reaches a report you'd actually trust.

This demo runs on a small fictional dataset, right in your browser. In a real deployment, it's your spreadsheets, refreshed on whatever schedule you need.

  • 1Raw purchase orders — mixed formats, a vendor under three different names, a duplicate PO
  • 2Automated cleaning — names merged, duplicate removed, incomplete records flagged
  • 3Findings, not just charts — price creep, duplicate spend, and savings the messy version was hiding

Want this on your actual spreadsheets? Get a free audit →

Data Pipeline
DEMO · FICTIONAL DATA
1 · Raw data
2 · Cleaning
3 · Dashboard

Raw purchase-order data, straight from a spreadsheet. Highlighted cells are what the pipeline will catch.

Cleaning in progress —

What the pipeline found in this file:

What the data says
Spend by vendor · Apr–Jul

The cleaned records behind these numbers:

Simulated demo — scripted results, fictional data · runs entirely in your browser

Under the hood

Automation that doesn't trust bad data blindly.

01 — Ingestion

Pulls from wherever it already lives

Spreadsheets, forms, exports from other systems — brought in on a schedule, no manual copy-paste required.

02 — Cleaning & validation

Standardized, deduplicated, checked

Formats normalized, duplicates removed, and anything genuinely uncertain flagged for a human — never silently guessed.

03 — Delivery

A dashboard or digest, on your schedule

The cleaned data becomes a live view or a scheduled summary in your inbox — built once, refreshed automatically after that.

Buried in spreadsheets?

We'll map where your operations data actually lives, and what a clean, automatic version of it would look like.

Get a free audit