Improvement is never linear
One of the many lessons one learns over a lifetime is that improvement, regardless of what you're trying to improve, is never linear. That is, you'll always have days where you're better, and days where you don't improve, or maybe even fall back.
And so it is with data management. Even if you implement all of the amazing wisdom I have imparted over the years, you're still going to have days where you'll think "Well, crap, this isn't working."
And that's ok.
It's about success, not perfection. If you're having a good day, celebrate. And if you're having a bad day, ask why, figure out how to fix it, and move forward.
Improvement is never linear.
![]()
Wes's Wednesday Wisdom Archives
Don’t forget to take a “before” picture!
Don’t forget to take a “before” picture! Whenever I start on a big home clean […]
Are you being penny wise and pound foolish?
Are you being penny wise and pound foolish? Two quick customer service stories to illustrate […]
AMS Products are getting better – and what that means for you
AMS Products are getting better – and what that means for you I’ve been working […]
Using AI beyond content generation
Using AI beyond content generation Recent surveys by ASAE and others suggest nearly 90% of associations […]
If you’re training, PLEASE do this…
If you’re training, PLEASE do this… If you’re doing any kind of software training, or […]
Don’t confuse motion with improvement
Don’t confuse motion with improvement I wrote recently how action can produce information. But an […]
Perfection is expensive (in fact, it’s not possible!)
Perfection is expensive (in fact, it’s not possible!) “Perfection is expensive. The last 5 percent […]
AI is a journey, not a destination
AI is a journey, not a destination Lately I’ve noticed a lot of associations talking […]
Action produces information
Action produces information “Action produces information. If you’re unsure of what to do, just do […]
Why a single source of truth is so beneficial…
Why a single source of truth is so beneficial… The holy grail of data management is […]
