Add one, remove one
In the world of home-organizing, there's the "one in, one out" rule. Simply put, for every new item that enters your home, one similar item must leave, helping to maintain a constant level of possessions and prevent clutter accumulation.
This would be a great rule for database managers when considering adding new fields of data to collect!
If staff wants to add a new field to collect a new data point, the first question is "Which data point/field are we going to remove?"
I'm only half-joking. Too often I see my clients adding new fields of data to collect while simultaneously not keeping up with the other data points they are supposed to be already collecting.
So when you think about adding a new field, ask yourself: "Are there other data fields we could remove while we're adding this new one?"
![]()
Wes's Wednesday Wisdom Archives
Be concise!
Be concise! I started a monthly newsletter almost 25 years ago (which I recently discontinued). […]
A great example of a data integrity report!
A great example of a data integrity report! A couple months back I discussed the […]
“If you keep doin’ what you’re doin’, you’ll keep gettin’ what you’re gettin’.”
“If you keep doin’ what you’re doin’, you’ll keep gettin’ what you’re gettin’.” I saw […]
Rather than adding something new, try subtracting
Rather than adding something new, try subtracting I read recently that sociological research suggests, when presented […]
It’s always people, process, and technology
It’s always people, process, and technology I speak and write a lot about people, process, […]
Once it’s lost, trust can be difficult to regain
Once it’s lost, trust can be difficult to regain I recall hearing once long ago […]
Share your successes!
Share your successes! I was speaking at an association meeting recently and one of the points […]
What are YOUR data integrity reports?
What are YOUR data integrity reports? Sitting in an AMS demo with a client recently, […]
You might have to do SOME of the work yourself!
You might have to do SOME of the work yourself! Many, many years ago I […]
Don’t manage to the exception!
Don’t manage to the exception! One of the universal truths about data management is, wherever possible, […]
