Why Data Projects Fail

Most data projects that fail don’t:

• Have a long-term plan
• Have an executive sponsor
• Deliver a good enough MVP

They’re too reactive and not planned out enough.

The opposite is also true.

• You could get stuck in planning session upon planning session.
• You could have too much executive oversight.
• You could spend too much time on your MVP.

Most of the time, though, the error is having to little rather than having too much.

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All the Best,

Tucker