ABSTRACT
Sports performance analysis has successfully integrated video and structured event databases. However, sports performance analysis is now incorporated in other areas of sports science support in which further data resources are used. This chapter uses the challenges of the decathlon example presented in Chapter 3 to provide a rationale for data analytics infrastructure. The need for flexibility, interactive visualisation, heterogeneous data sources, multimedia data and dealing with changing data streams provide such challenges. There are further concerns such as the need to support distributed analysis and collective analytics that need to be addressed by analytics infrastructures; these are discussed together with qualities required for data analytics architectures. Common interfaces are very important and need to help decision makers steer the analyses during decision-making processes. The chapter covers coaching support environments as well as information systems used in high-performance sports management.
