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Thanks for reminding me of this model - it is relevant to some current work I am doing. In my case however, I think that you missed the most actionable part of your MIKE 2.0 article. So I will repeat the section:

"During the first implementations, it is important to remember that the role of the architecture is to record data that is already being created rather than try to solve every content problem at once. ... By simply encoding in databases data that is being created in spreadsheets, the organisation is gaining an enormous amount of protection and opening the door to productivity improvements as teams begin to share complex data management processes."

That is great advice and I can tell you from direct experience that 'capturing' this data is an excellent way to bootstrap a data quality/metrics/analytic effort at relatively low cost. Especially as it does not necessarily involve the purchase of expensive specialist solutions for doing things like MDS, etc.

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