Should Data Governance be Decentralized?

Over 70% of companies are dissatisfied with their data governance.  It’s been this way for so long, it’s hard to say if the other 30% are telling the truth.  Why does this malaise persist?  One of the longstanding tenets in Data Governance is that it must be centrally driven.  Yet every analyst knows that data cleansing and curation is a solo sport.  Protocols suited to one user may not work for another.  Marketers may accept 70% prospect match rates, but KYC analysts need perfection; auditors may use sampling, but risk managers need precision.  The work is tedious-and each analyst redoes what central governance tools do. This centralist philosophy will slow AI-driven innovation.  To leap forward, we need to take a step back and reassess our governance paradigm.  Decentralized governance may be a troublesome philosophy-but America has flourished on it for 250 years and the internet has done just fine for 25.