Since engaging in the social media community around data and information quality I have noticed quite a lot of mobbing going on pointed at data quality tools. The sentiment seems to be that data quality tools are no good and will play only a very little role, if any, in solving the data and information quality conundrum.
I like to think of data quality tools as being like the cygnet (the young swan) in the fairy tale “The Ugly Duckling” by Hans Christian Andersen. An immature clumsy flapper in the barnyard. And sure, until now tools have generally not been ready to fly, but been mostly situated in the downstream corner of the landscape.
Since last September I have been involved in making a new data quality tool. The tool is based on the principles described in the post Data Quality from the Cloud.
- “It (the tool) is lean”. I like that since lean is a production practice that considers the expenditure of resources for any goal other than the creation of value for the end customer to be wasteful.
- “It is gold”. I like to consider that as a calculated positive business case.
- “It is the best thing happened in my period of employment”. I think happy people are essential to data quality.
Paraphrasing Andersen: I never dreamed there could be so much happiness, when I was working with ugly ducklings.