Right now it is winter in the Northern Hemisphere and this year winter has come earlier than usual to Northern Europe where I live. We have already had a lot of snow.
One of the good things with snow is that you are able to build a snowman. Snowmen are beautiful pieces of art but very vulnerable. Wind and not at least rising temperatures makes the snowman ugly and finally go away sooner or later.
Snowmen have this unfortunate fate common with many data quality initiatives.
Many articles, blog posts and so on in the data quality realm focuses on this fate related to technology based initiatives. The common practice of executing downstream cleansing of data using data quality tools is often criticized. As a practitioner in this field I have to admit that: Yes, I am often making the art of building snowman data quality.
An often stated alternative to using data quality tools is improving data quality through change management including relaying on changing the attitude of people entering and maintaining data. Though it’s not my area of expertise I have seen such initiatives too. And I am afraid that I am not convinced that such initiatives unfortunately also sooner or later have the same fate as the snowman.
As said, I’m not the expert here. I am only the little child watching how this snowman is exposed to the changing winds in many business environments and how it finally disappears when the business climate varies over time.
Now, this is supposed to be a cheerful blog about happy databases. I am ready for getting into some warm clothes and build a beautiful snowman of any kind.