This white paper explores the need to reduce the dependency on physical engine testing and prototyping by migrating to a more virtualised environment – and examines how to maximise this benefit by simulating tasks with the highest cost index. It shows how the traditional approach to calibration, based entirely on physical data measured from a dyno test facility, is replaced by a more virtualised approach and data set. Using examples, the paper highlights savings that can be generated from a single virtual calibration work package that can pay for the entire software investment in one go - reducing the cost of data acquisition by as much as 70 per cent and the time for data acquisition by up to 40 per cent.