Blog
Stories from the weekly export grind
Practical write-ups for operations, finance, HR, and analysts — how to stop redoing the same spreadsheet cleanup every Monday.
How to clean the same spreadsheet every week (without redoing it)
Stop rebuilding the same cleanup by hand. Turn a messy recurring export into a saved workflow you can re-run in seconds — all local in your browser.
Read story →Fix vendor CSVs before they fail your ERP import
Weekly vendor and PO exports break ERP imports on whitespace, malformed codes, and duplicates. Build one workflow to clean them every time — locally in your browser.
Read story →One inventory view from Amazon, Shopify, and your warehouse
Three channels export SKUs three different ways. Normalize and join them in the browser into a single ops view — no Excel gymnastics, no uploads.
Read story →Prep the month-end sales export before close
POS and marketplace sales dumps arrive with numbers as text, messy status labels, and totals that don't tie out. Clean them into a reconcilable file, in the browser.
Read story →Clean employee expense CSVs before the accounting upload
Expense exports arrive with mixed date formats, multiple currencies, and missing receipt flags. Standardize them into an upload-ready file, all in the browser.
Read story →Stop your payroll file from failing provider validation
Payroll provider uploads fail on name casing, empty employee IDs, and bad bank formats. Build a workflow to catch every issue before submission — locally, in the browser.
Read story →Turn a messy HRIS export into a clean headcount table
Your HRIS export is not a leadership report. Build a workflow that trims, standardizes, and summarizes it into a clean monthly headcount table — in your browser.
Read story →Kill near-duplicate customers before they wreck your dashboard
"Jon Smith" and "Jon Smith " inflate every metric in your dashboard. Use fuzzy dedupe to merge near-duplicates deterministically — in the browser, no uploads.
Read story →Join two weekly CSVs without Power Query or Python
You just need to join two exports on a key — not learn M or spin up pandas. Do it in the browser with a reusable join workflow and keep the data local.
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