Data quality metrics are def important, but don’t stress too much about tracking *everything*. Start with what’s most relevant to your use case. For me, completeness and consistency are the big ones.
Also, I’ve found that having a solid data governance framework helps a ton. Tools like Collibra or Alation can make it easier to manage and track these metrics.
What’s your take on governance? Overkill or essential?
Also, I’ve found that having a solid data governance framework helps a ton. Tools like Collibra or Alation can make it easier to manage and track these metrics.
What’s your take on governance? Overkill or essential?
