If data is 99% accurate:
- how many new-borns would be given to the wrong parents daily?
- how many incorrect medical procedures would be performed daily?
Low address accuracy leads to low confidence, especially when there are multiple versions of the truth and customers have conflicting addresses distributed across multiple systems. Poor address data hinders the ability to forecast accurately. It can also lead to decreased revenue by missed cross selling opportunities, rework and remediation effort, customer support and high reputational risk.