Data Analysis Australia consultants are experienced in solving complex optimisation questions, but we also recognise that solutions must be ‘fit for purpose’. We work with clients to understand the background behind the question, and advise on the implications of accepting a level of imperfection, or uncertainty, in results. While a purist mountaineer may be unwilling to settle for anything less than the absolute maximum, for many others the sense of achievement in climbing Merrick Butte would be the same as long as the plateau was reached.
In a numerical sense, having a large area that is almost optimal makes it particularly difficult to identify the overall or global optimum. However, in a practical sense it can be ideal, reducing the risk inherent in accepting a sub-optimal solution – near enough is good enough.