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 automate for the sake of automation
Don’t automate for the sake of automation I’m the laziest person in the world. I […]
Don’t forget about what got better
Don’t forget about what got better Negativity bias is the tendency to focus on only […]
Give a little at a time rather than taking away
Give a little at a time rather than taking away I’m sure there’s research somewhere […]
First, you gotta have the data
First, you gotta have the data When I work with clients on a new AMS […]
Work on your relationship with your AMS vendor
Work on your relationship with your AMS vendor It is no coincidence that my most […]
Dashboards for Data Integrity
Dashboards for Data Integrity I’ve written a bunch on data integrity reports. (Click here for […]
Next-to-Nothing Goals
Next-to-Nothing Goals I saw a Ted Talk by Christine Carter recently discussing the concept of […]
Just because you can…
Just because you can… In response to a recent Wednesday Wisdom on averages hiding the […]
Always ask “Why?”
Always ask “Why?” Little kids ask “Why?” all the time, because they are sponges for […]
Averages hide the extremes
Averages hide the extremes I can’t remember where I first heard it, but “averages hide […]
