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
With data analytics (as with most things), keep it simple!
With data analytics (as with most things), keep it simple! Over the past several years […]
Don’t forget about periodic maintenance
Don’t forget about periodic maintenance Just as most automobiles need periodic maintenance, keeping your data as […]
Users Groups are ALWAYS Valuable
Users Groups are ALWAYS Valuable I am a huge fan of users groups. (Here’s a […]
But will you DO anything with that data?
But will you DO anything with that data? I frequently exhort my clients to always answer […]
It’s not what happens, but how you react…
It’s not what happens, but how you react… “It’s not what happens to you, but […]
Saying it and doing it are two different things
Saying it and doing it are two different things When I work with my clients […]
Benefits downstream are difficult to implement
Benefits downstream are difficult to implement In my 25 years of consulting, one of the […]
Your first answer may NOT be the right answer!
Your first answer may NOT be the right answer! I’m a big believer in “go […]
You don’t have to automate EVERYTHING to be successful
You don’t have to automate EVERYTHING to be successful I was discussing a data management […]
Technology won’t solve your process problems
Technology won’t solve your process problems Over the past few years I’ve watched as many […]