Data quality processes: The wrong guy

As a recent Human Inference survey shows, data quality processes appear to be the biggest challenge for organizations.  Although this may seem an obvious survey result for many, the real question here of is: What are data quality processes?

Many of you will probably start thinking along the lines of data ownership, database access and hierarchy. But data quality processes are far more essential.  First of all, you have to know who you are dealing with.The following video is self-explaining:





Usability Literature

As I was contemplating what to write in my first post, I started thinking of last Tuesday, when I was attending the Dutch data quality award ceremony in Amsterdam. A very interesting event, organized by the data quality committee of the DDMA ( Dutch Dialogue and Direct Marketing Association).

After a presentation by TomTom on sharing map information through a community, I participated in a kind of bizarre discussion on usability of data, the value of data quality communities and literature. This last discussion topic was triggered by the oftentimes enigmatic dialogue boxes in Windows; “Are you sure that you are certain that you want to quit this application?”

As the discussion continued I wondered how a more literary approach would enhance the value of user interfaces. Here’s an example (with gratitude to my good friend Cronopio):

If Shakespeare had been a GUI designer

Now that’s usability value!