Managing the training process in elite sports: From descriptive to prescriptive data analytics

Kobe C. Houtmeyers, Arne Jaspers, Pedro Figueiredo

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Elite sport practitioners increasingly use data to support training process decisions related to athletes’ health and performance. A careful application of data analytics is essential to gain valuable insights and recommendations that can guide decision making. In business organizations, data analytics are developed based on conceptual data analytics frameworks. The translation of such a framework to elite sport may benefit the use of data to support training process decisions. Purpose: The authors aim to present and discuss a conceptual data analytics framework, based on a taxonomy used in business analytics literature to help develop data analytics within elite sport organizations. Conclusions: The presented framework consists of 4 analytical steps structured by value and difficulty/complexity. While descriptive (step 1) and diagnostic analytics (step 2) focus on understanding the past training process, predictive (step 3) and prescriptive analytics (step 4) provide more guidance in planning the future. Although descriptive, diagnostic, and predictive analytics generate insights to inform decisions, prescriptive analytics can be used to drive decisions. However, the application of this type of advanced analytics is still challenging in elite sport. Thus, the current use of data in elite sport is more focused on informing decisions rather than driving them. The presented conceptual framework may help practitioners develop their analytical reasoning by providing new insights and guidance and may stimulate future collaborations between practitioners, researchers, and analytics experts.

Original languageEnglish
Pages (from-to)1719-1723
Number of pages5
JournalInternational Journal of Sports Physiology and Performance
Volume16
Issue number11
DOIs
Publication statusPublished - Nov 2021
Externally publishedYes

Keywords

  • Analysis methods
  • Decision making
  • Framework
  • Prediction
  • Sport science

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Fingerprint

Dive into the research topics of 'Managing the training process in elite sports: From descriptive to prescriptive data analytics'. Together they form a unique fingerprint.

Cite this