Most marketing teams are not short of data. They are short of data they trust, arranged so it answers a question someone is actually asking. Analytics that nobody opens, attribution nobody believes and dashboards that show everything and explain nothing are the normal state — and they quietly make every downstream decision worse.
The work starts with plumbing: getting tracking, tagging and CRM connections into a state where the numbers are consistent and defensible. Then modelling, so contribution is understood rather than assumed. Then automation — routing, reporting and the repetitive production steps that consume a team's week — and the AI workflows that genuinely earn their place, which are the ones that compress work nobody should be doing by hand rather than the ones that replace judgement.




