Another DX: What Soccer Teaches Us

Abstract

DX is getting wide attention these days. But most of the discussion focus only on how we can process quantitative data more effectively, because the current computing is processing numbers. So, they pay much attention to how datasets can satisfy such requirements as orthonormality and interval scale distance with units, which are bases of Euclidean Space. But today as the fact that quantum computing is emerging rapidly, we need to identify how we should operate. Operation becomes more important than numbers. Thus, the need for Non-Euclidean Space approach is increasing. Now we need to treat data as a wide variety of information and how we should deal with them becomes the imminent challenge. In addition, the real world is changing frequently, extensively and unpredictably. We have to explore and develop a new way to solve these issues. These issues may be regarded as the problem of team organization and management. Soccer provides us with a good hint on how we can develop a better ream, because soccer games today change from moment to moment and we can learn how we can organize and manage a team, which are immediately responding.