The Rule of 100 and 1,000 and automation

The Rule of 100 and 1,000 and automation

I originally coined the rule of 100 and 1,000 in relationship to data conversion (here and here). I extended that rule to ongoing data management here.

The rule of 100 and 1,000 can also be applied to automation. Simply put, if you're managing fewer than 100 records for some process (e.g., accepting 50 submissions for an awards program), it's probably not going to be worth the effort to automate most of that process. But if you're receiving over a thousand submissions, you're definitely going to want to automate the process as much as possible.

In fact, for automation, I might adjust the rule to 100 and 500, especially if there are multiple steps in the process (e.g., submission, review, multiple communications with applicants, etc.).

It often doesn't make sense (in terms of time and money) to automate a process that can be managed manually. And definitely don't automate for the sake of automation.

The rule of 100 and 500 might help you decide whether or not to automate a process.

Wes's Wednesday Wisdom Archives

Why “weeding the garden” is so important

November 30, 2023

Why “weeding the garden” is so important One of the most important activities for maintaining […]

It’s time to stop excusing association professionals

November 15, 2023

It’s time to stop excusing association professionals I worked in associations for nearly 10 years, […]

More demos is not better

November 8, 2023

More demos is not better When I work with clients on selecting a new system, […]

The database owner should be “passionate”

November 1, 2023

The database owner should be “passionate” I’m frequently asked by my clients: “Who should we […]

Discipline is required

October 25, 2023

Discipline is required Last week I discussed the importance of taking action. To manage data […]

Action is required

October 18, 2023

Action is required Over my many years of consulting, one thing I’ve noticed about many associations […]

Some data analytics tips from the DAN “Science Fair”

October 11, 2023

Some data analytics tips from the DAN “Science Fair” Last week I had the opportunity […]

Are all your processes frictionless?

October 4, 2023

Are all your processes frictionless? I’m not a huge fan of buzzwords, but I love […]

Trends don’t need perfect data

September 27, 2023

Trends don’t need perfect data When it comes to analyzing data trends (changes in data […]

Start with “Why” before you move to “How”

September 20, 2023

Start with “Why” before you move to “How” Something I’ve noticed over my years in […]

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top