A recurring subject for me and many others is talking and writing about people, processes and technology including which one is most important, in what sequence they must be addressed and, which is my main concern, how they must be aligned.
If we look at maturity models related to data quality we will recognize that order too.
In the low maturity levels people are the most important aspect and the subject that needs the first and most attention and people are the main enablers for starting moving up in levels.
Then in the middle levels processes are the main concerns as business process reengineering enables going up the levels.
At the top levels we see implemented technology as a main component in the description of being there.
An example of the growing role of technology is (not surprisingly of course) in the data governance maturity model from the data quality tool vendor DataFlux.
One thing is sure though: You can’t move your organization from the low level to the high level by buying a lot of technology.
It is an evolutionary journey where the technology part comes naturally step by step by taking over more and more of the either trivial or extremely complex work done by people and where technology becomes an increasingly integrated and automated part of the business processes.