Back to blog

Tips

When to stop cleaning and start analyzing

Perfectionism kills projects. Know when your data is clean enough.

Dec 18, 20244 min read
You could clean data forever. At some point, you need to stop and actually use it. Here's how to know when.

Define 'clean enough'

Clean enough depends on your use case. A rough analysis needs less perfection than a financial audit. Define your threshold upfront.

  • What decisions will this data inform?
  • What error rate is acceptable?
  • What's the cost of a mistake?

Fix blocking issues only

If an issue would break your analysis or cause wrong conclusions, fix it. If it's merely annoying, note it and move on.

  • Blocking: wrong data types, broken joins
  • Non-blocking: inconsistent capitalization
  • Prioritize by impact

Quick CTA

Assess quickly

Use Readable CSV to quickly evaluate whether your data is clean enough for your needs.

Try it

Time-box your cleaning

Set a time limit. When it expires, assess. Is the data usable? If yes, proceed. If not, request better source data.

  • Set a specific time limit
  • Review progress at the deadline
  • Diminishing returns are real

Document what you didn't fix

Keep a list of known issues. This helps others understand limitations and lets you return to fix things if they become blocking.

  • Note known issues
  • Record potential impact
  • Create a backlog for later

Key takeaway

Perfect is the enemy of done. Clean enough to answer your questions is clean enough.