Poor data quality may be the most expensive problem in IT. It is certainly the most difficult area of most Data Warehousing projects. For over twenty years, Ken Orr has been doing research on Data Quality. His work has been built on systems feedback theory, and he finally concluded that “data that is not used cannot be correct."
The basic theory behind this concept was published in a paper on “Data Quality and Systems Theory,” presented at the 1st MIT Conference on Data Quality , October 24 – 25 , 1996. This paper is published in the Communications of the ACM (May 1998).
Recently, KOI has been working with a number of companies on Data Quality in Data Warehousing and Systems Management. From this has evolved a whole new set of ways to help the Data Warehouse developer avoid Data Quality problems.
The Ken Orr Institute
5883 S.W. 29th St., Suite 101, Topeka, KS 66614
785.228.1200 Fax: 785.228.1201