Data quality, consent, activation and reporting
Govern the data before asking teams or automation to act on it.
Duplicate identities, incomplete relationships and inconsistent definitions are not solved by a larger database. Matching rules, quality checks, exception queues and clear stewardship should address problems close to the point where information is created.
Consent and communication preferences must also travel with the customer context. Activation should use approved purposes and channels, and its outcome should return to the lifecycle history so sales, service and reporting teams can see what happened.
Reporting then uses consistent definitions across customer, account, property, service and activation activity. It should explain progression, demand, exceptions and ownership rather than create another disconnected set of numbers.