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

Inertia Contributes to Bad Data

October 7, 2020

Inertia Contributes to Bad Data Without knowing anything about your organization or its data, I’d […]

What are you doing with new contacts?

September 30, 2020

What Are You Doing with New Contacts/ I was very interested to read in a […]

Be Aware of Selection Bias

September 23, 2020

Be Aware of Selection Bias I wrote recently about the mistaken perception of older members […]

Some Things Just Take Time

September 16, 2020

Some Things Just Take Time I learned recently that an elephant’s gestation period is 18 […]

Sometimes It’s the Least Bad Choice

September 7, 2020

Sometimes It’s the Least Bad Choice Just like in life, sometimes when we’re making technology […]

Our Members Aren’t Tech Savvy

September 2, 2020

Our Members Aren’t Tech Savvy Having worked now in the association space for more than […]

Motion vs. Action

August 26, 2020

Motion vs. Action One key to successful data management is understanding the difference between motion […]

There is ALWAYS a Trade-off

August 19, 2020

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

August 12, 2020

Little by little, a little becomes a lot “Little by little, a little becomes a […]

Why do we treat data management differently?

August 5, 2020

Why do we treat data management differently? A recent post on ASAE’s community read: “Looking […]

Leave a Comment

Your email address will not be published.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

Scroll to Top