Setting up a IQM Framework

IQM stands for Information Quality Management.

Larry P. English author of the widely acclaimed book 'Improving Data Warehouse and Business Information Quality' says

Data cleansing [sic., correction] is NOT information quality improvement. It is the cost of having defective processes. The absolute goal of a sound IQ management system is the elimination of the need for data correction, a.k.a. “information scrap and rework.”

I still think cleansing the existing data and fixing the existing Data Quality problems is the first step in any IQM initiative. The reality is corrupted/bad data is here to stay until it is fixed.

Similarly the talk about the IQ methodologies such as Deming, Crosby, Kaizen, Six sigma etc; is interesting. Personally I would vote for Kaizen. (And I am supported by the success of Japanese and Korean Automakers while American Auto Giants are struggling)

Any Data Quality effort must improve and must continuously improve the quality of the data.

The Six Sigma is another interesting methodology. Usually it either follows DMAIC (Define, Measure, Analyze, Improve, Control) or DMADV (Define, Measure, Analyze, Design, Verify). Usually DMAIC is for correcting existing problems and DMADV is for new implementations.

He also makes a couple of other interesting points. Read the complete article here.