A great example of a data integrity report!
A couple months back I discussed the importance of data integrity reports. One of my past clients and a longtime reader, David Churchill at Grantmakers in Health, offered up this idea, which I think is fantastic and should be added to any association's list of data integrity reports.
As he explains: "I found that there’s a lot of email address mistakes made during our online registration process. It's not always easy to spot simple typos like .cmo (.com), .ogr (.org) so I created a query that is titled “questionable top level domains” that shows any record with likely typos (or .ru which is largely spam)."
One reason I love this query is that it's designed to capture "common" errors with the knowledge that it won't catch every error. And it has the added bonus of looking at addresses that are likely spam.
But what a great idea! If a customer mistypes their email address, other than checking bounced emails in the future, how will anyone know there is an error? By proactively checking for errors, David is weeding the garden, which is critical to long-term data management success.
![]()
Wes's Wednesday Wisdom Archives
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 […]
Just because you can, doesn’t mean you should
Just because you can, doesn’t mean you should I’ve worked in and with associations for well […]
Data doesn’t need to be perfect to be useful
Data doesn’t need to be perfect to be useful “Your data doesn’t have to be […]
Don’t just clean data, clean reports and queries
Don’t just clean data, clean reports and queries One of the reasons I exhort my […]
