DataWhys rule-based machine learning software discovers combinations of conditions to optimize outcome metrics.
While it has a wide variety of applications, its use is motivated in any organizational process where there exists:
A high importance to find and explain quality solutions.
A need to integrate expandability and interpretability with existing or other modelling work
Process related data
DataWhys augments existing modelling approaches by providing a prescriptive set of rules that allows for greater understanding and precise courses of action.
Traditional modelling approaches try to predict every point. But there are always places where models do better and places where they do worse. DataWhys is different in that it divides the space into segments where a common set of conditions reliably describes specific outcomes.
DataWhys has applications in various industries.
