Under pressure to move with speed, for example fast-tracking covid-19 forbearance measures, or migrating data to a new system, the risk of data errors can increase or be seen as the price to pay for progress. Equipment finance is particularly susceptible to single data errors cascading to linked systems and multiple periods. Addressing such errors calls for a considered approach.