Beware self-inflicted data management issues

Managing data is difficult. It takes time. It can be tedious. And it’s a never-ending task.

So it’s very important to be sure we’re not making the management of data even more difficult by virtue of the business rules we have constructed.

For example, I worked with one association who had such convoluted business rules for joining the association that it usually took staff five minutes on the phone just explaining which membership type a potential member qualified for and what the membership fee would be. This wasn’t time selling, mind you, just time explaining.

As a result of these incredibly complex membership rules, joining online is exceedingly difficult, as is processing dues and dues renewals. Much custom programming is required to address all the nuances of membership.

The worst part of this scenario is that this is all self-inflicted. The association set these rules; they were not forced upon them by government or some other all-powerful force.

So look around your organization. Where do you have data management challenges? Are any of those challenges because of business rules that the association has complete control over? Very often the answer is “Yes.”

The good news is, if it’s self-inflicted, you can fix it. If you’re willing to.

About Wes Trochlil

For over 30 years, Wes has worked in and with dozens of associations and membership organizations throughout the US, ranging in size from zero staff (all-volunteer) to over 700. In that time Wes has provided a range of consulting services, from general consulting on data management issues to full-scale, association-wide selection and implementation of association management systems.

1 thought on “Beware self-inflicted data management issues”

  1. Great post, thanks for sharing. Because of the rising importance of data-driven decision making, having a strong data governance team is an important part of the equation, and will be one of the key factors in changing the future of business. There is so much great work being done with data quality tools in various industries such as financial services and health care. It will be interesting to see the impact of these changes down the road.

    Linda Boudreau
    http://DataLadder.com 

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