Up to now, our engineering has been control-based. The goal was clear, We made efforts to get to the goal faster and more effectively. This was possible because changes were smooth, so we could differentiate them mathematically. Therefore, we could predict the future. But today, changes become sharp and unpredictable. Therefore, adaptability becomes more important than efficiency. Or to describe it another way, we need to find an appropriate goal first by trial and error. Yesterday tactics was important, but today strategy becomes important. But our world becomes so complex and complicated that we need to work as a team. And the formation of this team must vary from situation to situation to win the game. Therefore, we must develop a truly adaptive network. This paper proposes that if we introduce non-Euclidean Mahalanobis Distance (MD) and combine it with patterns, then we can develop a holistic and quantitative performance indicator. It evaluates our performance in a very short time for almost any number of dimensions, because it is free from the constraints of orthonormality and units in Euclidean Space. Thus, this Mahalanobis Distance-Pattern (MDP) Approach helps us to make an approriate strategic decision.