Lists Spark

A defined audience beats a large one.

The first question is always who counts as in scope. Verification is separated from enrichment, so neither hides the other. Each delivery says how old its parts are.

Field standardisation

One definition per column, applied consistently, with original values retained beside the normalised ones.

Row-count assertion

Checking the delivered file holds the number of rows the summary claims it holds.

Criteria translation

Finding the nearest countable equivalent when a requirement has no direct expression in the available fields.

If you already know the universe you want, we can confirm it in a day or so.