It could always be worse
Because most of us don't have the benefit (like I do) of seeing how other associations are managing their data, we tend to think our situation is much worse than it really is. So I like to collect stories of organizations that really ARE in bad shape. Here's the latest example:
A Wall Street Journal article entitled "What Can’t the Internet Handle in 2022? Apostrophes" discusses how certain data management systems are unable to manage certain characters (e.g., umlauts in names).
One of the examples is Aer Lingus. From the article: "Aer Lingus’s booking system, called Astral, is nearly 60 years old and doesn’t cater to special characters." SIXTY YEARS OLD!
And what special character can't it handle? Apostrophes. This in a country where many surnames have apostrophes!
So when you really start feeling down about how bad your systems are, remember, it could always be worse! Your system could be 60 years old and not accept apostrophes!
![]()
Wes's Wednesday Wisdom Archives
Inertia Contributes to Bad Data
Inertia Contributes to Bad Data Without knowing anything about your organization or its data, I’d […]
What are you doing with new contacts?
What Are You Doing with New Contacts/ I was very interested to read in a […]
Be Aware of Selection Bias
Be Aware of Selection Bias I wrote recently about the mistaken perception of older members […]
Some Things Just Take Time
Some Things Just Take Time I learned recently that an elephant’s gestation period is 18 […]
Sometimes It’s the Least Bad Choice
Sometimes It’s the Least Bad Choice Just like in life, sometimes when we’re making technology […]
Our Members Aren’t Tech Savvy
Our Members Aren’t Tech Savvy Having worked now in the association space for more than […]
Motion vs. Action
Motion vs. Action One key to successful data management is understanding the difference between motion […]
There is ALWAYS a Trade-off
There is ALWAYS a Trade-off I’ve written many times about trade-offs (you can read a […]
Little by little, a little becomes a lot
Little by little, a little becomes a lot “Little by little, a little becomes a […]
Why do we treat data management differently?
Why do we treat data management differently? A recent post on ASAE’s community read: “Looking […]
