The analytics team has been asked to provide an estimate of the number of customers they expect to have in 12 months. They debated how accurate that figure needs to be and determined that based on the availability of good data, they could predict within + or - 10%.
This is an example of a:
A Definitive estimate is characterized by its high level of accuracy, typically within +/- 10% from the actual value. This is consistent with the scenario where the analytics team has determined they can predict customer numbers within a 10% margin, indicating the use of detailed and reliable data.
See BABOK 10.19 Estimation - Rough Order of Magnitude (ROM): a high-level estimate, generally based on limited information, which may have a very wide confidence interval. ROM estimate is a type of estimate used early in a project or when there is limited data available. It provides a rough estimate of costs or other variables, typically with a broad range of accuracy. In this case, since the analytics team is estimating the number of customers within a range of accuracy (+ or - 10%), it aligns with the concept of a ROM estimate.