In this chapter, we examine data challenges in sports organizations considering data access (Sect. 3.1) as fragmented data systems, focusing on ownership and access rights, looking at data protection and security requirements, discussing data literacy, and describing real-time data processing. Data quality (Sect. 3.2) is affected by incorrect data collection, incomplete data, different measurement methods, the subjectivity of the data, and data cleansing. Data integration (Sect. 3.3) plays a vital role in the evaluation of heterogeneous data sources, semantic data alignment, large amounts of data as in the field of big data, data security, and a lack of standards. Data analytics skills (Sect. 3.4) are required to explore the lack of data literacy, the lack of specialized data scientists, the complexity of the data and analysis methods, the communication and interpretation of the results, as well as the cultural change.