Consider taking the viewpoint that because data is increasingly distributed, changing constantly and touched by so many entities, controlling it is simply impossible. And that aiming for structure, standardization http://cpp.gartner.com/Item/Details/1002030?showTab=allSessionFiles#allSessionFilesand zero technical debt in data management brings sub-optimal value.
● Why is striving for precise management of data a fool's errand?
● How can you create more value by accepting disorder in data?
● What specific actions are required to stay "safe" amid data chaos?