The Rule of 100 and 1,000 revisited
I'm finding that the "Rule of 100 and 1,000" comes up quite often in discussions with clients, so thought it was a good time to revisit it. (You can read more about the rule here and here.)
I was recently talking with a client about how they should transfer data from their event registration system into their primary AMS. We discussed how we might integrate the two systems so that the data can be easily passed between both systems.
As we got deeper into the discussion, they pointed out that there are only two events per year, and each event has only about 50-75 attendees. So by the "Rule of 100 and 1,000," this data should be managed manually. In other words, we shouldn't spend a lot of time (and money) trying to integrate the two systems, because manually entering the event registration data into their AMS (either in realtime or in a batch after the event) will be more time- and cost-effective.
The "Rule of 100 and 1,000" can help you make data management decisions more quickly, so it's probably worth familiarizing yourself with it.
![]()
Wes's Wednesday Wisdom Archives
Be grateful
Be grateful As Thanksgiving approaches here in the US, I’m reminded of two words: Be […]
Do you really need to approve them?
Do you really need to approve them? I often joke that the very best (because […]
Negativity bias is why we need database PR
Negativity bias is why we need database PR I’ve written before how cognitive biases can affect […]
A system change requires a culture change
A system change requires a culture change By its very nature, when you introduce a […]
Where is that data?
Where is that data? This is what data management nirvana looks like: When the question starts with […]
Be deliberate, but act quickly
Be deliberate, but act quickly Be deliberate, but act quickly. These are my words of […]
Why associations don’t like the “S” word
Why associations don’t like the “S” word A couple of weeks ago I asked my […]
The “S” stands for “Standard”
The “S” stands for “Standard” In a conversation with a past client, we were discussing […]
Is that meaningless data?
Is that meaningless data? I’m not a big quotes guy, but one of the few […]
Be aware of unintended consequences
Be aware of unintended consequences I’ve written before that every decision involves a trade-off. When […]
