A commercial team wants to know which regions are losing active data users. They cannot answer it themselves, so they ask the BI team. The query gets written. The answer comes back accurate, and a few days after it was needed. Multiply that by every team, every week. Bad data has the same shape. It is rarely caught when it arrives; it is caught later, by someone who has already acted on it. Quality issues surface after a dashboard has been read, a report circulated, a decision taken. The correction arrives behind the damage.