4 principles of effective data governance

  • Building a data-driven culture is a meticulous task, one that is well rewarded over time.

  • Organisations must attach goals and milestones around data acquisition when embedding a data-first approach.

All AI and CX projects need structured data. Regardless of the phase and organizational hierarchy there are 4 principles organisations must adhere to for effective data governance:  1. Data Value: Organisations need to make stakeholders understand data is a strategic asset, it’s value must be unequivocally embedded across the whole organization from the board – to all functional team members.  2. Data Culture: Building a data-driven culture is a meticulous task, one that is well rewarded over time. Organisations must attach goals and milestones around data acquisition when embedding a data-first approach. For good data governance, the data must be compliant as per GDPR and other regulatory guidelines.