As a government worker and information/data architect, one of my drivers is a more transparent and evidence-based public service and civil society.
This isn’t going to happen without a bunch of us promoting and enabling the optimal use of information & data assets for government business delivery and decision-making.
Being “data-centric” serving this purpose also means being “data-driven”, and it means that data isn’t a byproduct of applications anymore, it’s an enterprise asset of it own.
This also means that a more significant portion of data architecture & engineering has to be done in a technology-agnostic way; that a lot of efforts need to be invested in the (business) semantics and (data) syntax before getting into implementation & technology considerations.