Data management is improvisation I was listening to a podcast recently featuring TV writer Rob Long. During the podcast he said (I’m paraphrasing) that, in order to be successful, one needs to learn to improvise, because nothing in life ever goes as planned. One of my favorite sayings is, “If you want to make God
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Never burn a bridge My children have reached the age where they have, or are, entering the professional workforce. One of the (probably too many) pieces of advice I give them is to never burn a bridge. For those who don’t know, “never burn a bridge” means (per AI) “never take an action that would
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Rather than adding something new, try subtracting I read recently that sociological research suggests, when presented with a problem, humans default to “adding” something to address the problem, rather than subtracting. And of course, this got me to thinking about how this happens in data management all the time. Some examples: When faced with a particular challenge for collecting
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Experience is the best teacher Experience is the best teacher. Every one of us has experienced this (pun intended!) and we all know it’s true. And yet too often, when it comes to database training, we think we can place staff in front of a trainer, have the trainer show the class how to do something,
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A poor launch can set the stage for YEARS It is not uncommon for me to get a call from a prospective client and hear something like: “We launched a new AMS last year, but it was a rushed implementation. We never really got things right from the start and now everyone is unhappy.” Too often,
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Even your online directory is out of date! Back in the day of printed directories, there was an aphorism: “By the time your directory hits the street, it’s already out of date.” This was because the data had been collected six months in advance, then had to be collated, designed, sent to the printer, reviewed
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What’s our next action? As you can imagine, I spend a lot of time in meetings (I bet you do, too!). If the meeting has to do with a specific project (e.g., a system selection or implementation project), there are two rules I try to adhere to as much as humanly possible: Anything that can
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Little by little, a little becomes a lot “Little by little, a little becomes a lot.” I don’t know where I first read it (a google search says it’s a Tanzanian proverb; I’m dubious), but I love the phrase, especially as it relates to data management. One of the many challenges of data management is
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Why do we treat data management differently? A recent post on ASAE’s community read: “Looking for recommendations for assistance with understanding how we can use our AMS more efficiently and effectively. Small international association, no in-house IT, and our staff AMS admin has left. Any suggestions?” On the surface there is nothing wrong with this request.
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Don’t Forget Your Speakers! A phenomenon I’ve noticed over the years is that my clients will manage speaker data outside of the primary AMS. Often this data is managed in spreadsheets or in a third-party event registration system. And too often, this data never makes its way back into the primary AMS. The key data point, that a
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