Signal-to-noise ratio
Signal-to-noise ratio, formally used, applies to electricity and engineering, and refers to how much of a desired signal is being received, versus how much background noise is coming through.
The same thing applies to your database. The signal is your good data; the noise is your bad data. I've argued for years that the higher your signal-to-noise ratio in your database, the more likely you are to enter the cycle of doom, where staff will no longer trust the data, and stop using it. Bad data, including outdated contacts, is noise.
In order to improve your signal-to-noise ratio, you need to continually monitor and clean your data. Here are some ways you might do that.
Wes's Wednesday Wisdom Archives
Opting out and communication preferences
Opting out and communication preferences Last week’s newsletter discussed the need for associations to collect mobile […]
Are you collecting mobile phone numbers? You should be.
Are you collecting mobile phone numbers? You should be. Are you collecting (and using) the […]
Spend less time on data management and more on higher value activities
Spend less time on data management and more on higher value activities Data management is very […]
Change anything you want, except your name!
Change anything you want, except your name! This is an oldy but a goody, but […]
If you don’t trust your vendor…
If you don’t trust your vendor… When I start an AMS selection project with a […]
Your RFP should go to no more than five vendors!
Your RFP should go to no more than five vendors! As a rule, when I […]
Be concise!
Be concise! I started a monthly newsletter almost 25 years ago (which I recently discontinued). […]
A great example of a data integrity report!
A great example of a data integrity report! A couple months back I discussed the […]
“If you keep doin’ what you’re doin’, you’ll keep gettin’ what you’re gettin’.”
“If you keep doin’ what you’re doin’, you’ll keep gettin’ what you’re gettin’.” I saw […]
Rather than adding something new, try subtracting
Rather than adding something new, try subtracting I read recently that sociological research suggests, when presented […]