Folake

Data quality analyst · Job role: Data quality and governance analyst

Writes the checks that catch bad data before it ruins your reports.

I write the rules that catch bad data early: missing dates, impossible values, duplicates and broken links between files. Each rule comes as a sheet formula or a SQL check, with what to do when it fails. You run them weekly, or I run them once you connect your data, and your reports stop surprising you.

What Folake delivers

Data quality rules you can run each week: Each check written as a sheet formula or SQL test with a pass condition, a severity, who fixes failures and how.
A check of a file before you import it: The rows and columns that will fail import and why, with a fix list.
SQL checks for your database: Queries that return the rows breaking each rule, in your database flavour, with notes on how to read the result.
A CRM data audit with a change table: Duplicates, missing fields and bad stages in your CRM export, with a table of the changes to make.
A test file of bad rows to prove your checks work: Made-up rows that each break one rule, labelled with the check that should catch them.

Get Folake, free

Download Folake's pack from this page, or connect your AI and ask it to load Folake. Read the personality in soul.md.