Discipline is required
Last week I discussed the importance of taking action. To manage data effectively, it takes more than just wanting to do something; you have to take action on your ideas.
A corollary to that is that good data management also requires discipline. Put another way, once the idea is put into action, in order for it to bear fruit over time, your organization has to have the discipline to continually manage the data over time.
Using last week's example of tracking volunteers' behavior (are they a "good" or "bad" volunteer?), the discipline required is updating the information about the volunteers as you learn it. For example, suppose you have a meeting of the committee and one of your committee volunteers doesn't bother to show for the meeting, or shows up and is clearly unprepared. This would be a good time to update their volunteer record to reflect that.
It requires discipline to remember to update the record, and discipline to actually update the record.
Good ideas are good, and implementing good ideas is also good. But having the discipline to execute those good ideas over time is what will make your data management great.
![]()
Wes's Wednesday Wisdom Archives
When “overcommunicating” becomes overwhelming
When “overcommunicating” becomes overwhelming There is a common belief in project management and general business management that overcommunicating […]
Communicating when there is a major technology change
Communicating when there is a major technology change For those of you who are ASAE […]
Everything works, until it doesn’t.
Everything works, until it doesn’t. “If something cannot go on forever, it will stop.” – […]
Some things are unknowable
Some things are unknowable One of the most challenging aspects of moving to a new […]
Do we have access to that data?
Do we have access to that data? When I work with my clients on a […]
The three “buckets” of contact data
The three “buckets” of contact data Broadly speaking, when collecting data on contacts (individuals or organizations), […]
Balancing what is possible with what is realistic
Balancing what is possible with what is realistic When I work with clients on technology […]
“Humans want to be surrounded by beauty.”
“Humans want to be surrounded by beauty.” “Humans want to be surrounded by beauty.” – […]
Data managers vs data consumers
Data managers vs data consumers When I work with clients on any data management project, […]
Another universal truth
Another universal truth There are many universal truths in data management. Some examples: You will […]
