Garbage in, gospel out

Garbage in, gospel out

We've all heard the phrase "Garbage in, garbage out." If the data entered into the system is bad, any reports coming out of it will be bad. Simple.

But what about "Garbage in, gospel out"? (I first heard this from my father.) Translated, this is reflected in the attitude of "If the system says it is so, it must be."

We've probably all encountered this with a consumer goods company when the customer service rep says "Sir, my records show your service is working fine," as I sit on my end with no internet service.

The antidote to Garbage in, Gospel out is "Trust, but verify." It's ok to assume your data reports are good, as long as you've verified they are good! One way to verify your data is through the use of data integrity reports.

Wes's Wednesday Wisdom Archives

Don’t confuse motion with improvement

April 29, 2026

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!)

April 22, 2026

Perfection is expensive (in fact, it’s not possible!) “Perfection is expensive. The last 5 percent […]

AI is a journey, not a destination

April 15, 2026

AI is a journey, not a destination Lately I’ve noticed a lot of associations talking […]

Action produces information

April 8, 2026

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…

March 25, 2026

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

March 18, 2026

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

March 4, 2026

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

February 25, 2026

Don’t just clean data, clean reports and queries One of the reasons I exhort my […]

Don’t forget, your staff have day jobs…

February 18, 2026

Don’t forget, your staff have day jobs… The vast majority of my work is finite […]

Beware the automated “How did we do?” trap!

February 11, 2026

Beware the automated “How did we do?” trap! One of the downsides of technology is […]

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top