Data doesn't need to be perfect to be useful
"Your data doesn't have to be perfect to be useful." - (Borrowed with permission from Intellidata's Slice newsletter.)
In my experience, many associations hold themselves back from cleaning up their data, because they are overwhelmed with where to start, and they also think success can only be achieved if the data is perfect. The thinking goes: since there's no way to get to perfect data, there's really no reason to start.
But it's clearly not true. The data you have now isn't perfect, nor will it ever be. But if your data is "pretty clean," it can be very useful.
So don't let perfect be the enemy of the good. Continue working on keeping your data as clean as it can be. It will never be perfect, but it will still be useful.
Wes's Wednesday Wisdom Archives
What makes you weird?
What makes you weird? When I work with clients on selecting a new association management system, one […]
Why “AMS Consortiums” Don’t Work
Why “AMS Consortiums” Don’t Work About once a year I will get a call from […]
Your vendor will disappoint you
Your vendor will disappoint you I follow politics as a hobby. A past publisher from […]
Learn how to lose
Learn how to lose “Winning is great, sure, but if you are really going to […]
Ownership is Required
Ownership is required When asked for the most common reason AMS implementations fail, I typically respond […]
It’s all relative…
It’s all relative… Over the course of my 22 years of consulting, I’ve consulted with […]
Eliminate to optimize
Eliminate to optimize So much of data management is habit (both good and bad) which is […]
For data governance, ask “Why?”
For data governance, ask “Why?” Recently I’ve had the opportunity to work on several data […]
More on Meetings
More on Meetings I’ve written before about the importance of making sure your meetings are […]
Action produces momentum
Action produces momentum Another great quote from James Clear: “Motivation often comes after starting, not […]