The advent of big data has significantly transformed the landscape of sports analytics, providing researchers and practitioners with unprecedented opportunities to enhance performance and strategic decision-making. This study explores the integration of various data sources, including social media and specialized databases, to gather comprehensive insights into the smart sports industry. With the launch of services like Google Dataset Search, accessing diverse datasets has become more streamlined, enabling researchers to uncover hidden truths about sports performance. However, the high costs associated with advanced technology and data analysis services pose challenges, particularly for smaller teams with limited budgets. This research emphasizes the importance of developing affordable solutions and funding options to democratize access to big data technologies in sports. Furthermore, we highlight the critical role of secure data collection methods to mitigate risks associated with questionable data sources. By employing innovative performance measurement techniques, this study aims to provide a framework for effectively tracking and predicting athlete performance, ultimately contributing to improved training plans and competitive strategies. The findings underscore the necessity of leveraging big data to not only enhance individual athlete performance but also to foster a more equitable sports environment.

Athlete Performance, Big Data, Performance Measurement, Smart Sports Industry Sports Analytics, Training Strategies