In this blog series, I am exploring if it’s wise to crowdsource data improvement, and if the power of the crowd can enable organizations to incorporate better enterprise data quality practices. In Part 1, I provided a high-level definition of crowdsourcing and explained that while it can be applied to a wide range of projects
There are companies that have no data quality initiative, and truly do believe that if they see no data problem. In effect, they say that if it does not interfere with day-to-day business, then there is no data quality problem. From what I have seen in my consulting experience, it usually
Over my last two posts, I suggested that our expectations for data quality morph over the duration of business processes, and it is only at a point that the process has completed that we can demand that all statically-applied data quality rules be observed. However, over the duration of the
