Newton's First Law
Part of Newton's First Law states that "...an object in motion stays in motion..." What does this have to do with data management? Quite a bit, actually.
One of the many challenges of data management is the constant grind of keeping data clean. (I refer to this as "weeding the garden.") With most of my clients, I see one of two approaches:
- Updating data consistently and constantly, always staying on top of the data.
- Running big projects periodically (usually once annually or longer) to clean up the data.
The difference between the two is that once we start cleaning, it's easier to maintain that (keeping the object in motion) than it is to start and execute a huge data clean up project once every couple of years. In addition, weeding the garden consistently keeps your data cleaner longer, which is better.
But the key is getting that object in motion. Implementing and executing a consistent data cleaning program is tough, but once you've got it moving, it's likely to keep moving.
So the choice is yours: get the object moving now and keep it moving, or let it sit and see how difficult it will be to start the object when you haven't moved it in years!
![]()
Wes's Wednesday Wisdom Archives
Who should “own” the database?
Who should “own” the database? One of the most common questions I get from my […]
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 […]
