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

Two tips for data conversion

September 15, 2021

Two Tips for Data Conversion I’ve written a lot about data conversion over the years …

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Who should “own” the database?

September 8, 2021

Who should “own” the database? One of the most common questions I get from my …

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What makes you weird?

September 1, 2021

What makes you weird? When I work with clients on selecting a new association management system, one …

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Why “AMS Consortiums” Don’t Work

August 25, 2021

Why “AMS Consortiums” Don’t Work About once a year I will get a call from …

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Your vendor will disappoint you

August 18, 2021

Your vendor will disappoint you I follow politics as a hobby. A past publisher from …

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Learn how to lose

August 11, 2021

Learn how to lose “Winning is great, sure, but if you are really going to …

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Ownership is Required

July 28, 2021

Ownership is required When asked for the most common reason AMS implementations fail, I typically respond …

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It’s all relative…

July 21, 2021

It’s all relative… Over the course of my 22 years of consulting, I’ve consulted with …

It’s all relative… Read More »

Eliminate to optimize

July 14, 2021

Eliminate to optimize So much of data management is habit (both good and bad) which is …

Eliminate to optimize Read More »

For data governance, ask “Why?”

July 7, 2021

For data governance, ask “Why?” Recently I’ve had the opportunity to work on several data …

For data governance, ask “Why?” Read More »

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