Making data useful before it is perfect

1 min read

Perfect data is usually late data.

Start with the decision

Before collecting more metrics, define the decision the data needs to support. That keeps the system focused on outcomes instead of dashboards.

  • Track the few signals that change behavior.
  • Keep definitions consistent.
  • Review data quality on a schedule, not in panic.

Useful data is less about volume and more about timing and context.

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