Implementing Digital HR Analytics in Azerbaijani Sports Federations: A New Approach to Talent Management and Performance Optimization

Abstract

Digital Human Resource (HR) analytics is reshaping sports management by enabling data-driven decision-making in areas such as talent development, performance tracking, and retention strategies. In the context of Azerbaijani sports federations, the adoption of digital HR analytics offers a pathway to modernize existing human capital practices and align them with international best standards. This study adopts a qualitative methodology, drawing insights from interviews with federation officials and an analysis of key strategic documents.

The research identifies critical gaps in current HR systems, including limited data infrastructure, lack of analytical expertise, and traditional mindsets resistant to change. Despite these challenges, several opportunities emerge. Digitizing HR practices can provide federations with real-time insights into athlete performance, coaching effectiveness, and recruitment pipelines. Furthermore, it can enhance transparency, foster accountability, and support evidence-based policymaking.

The study proposes a phased roadmap for implementation, beginning with awareness-building and capacity development, followed by pilot testing of analytics tools, and finally, scaling successful models across federations. A strong emphasis is placed on collaboration with international partners and leveraging government support for digital transformation.

Ultimately, the findings suggest that the integration of digital HR analytics can yield substantial benefits for Azerbaijani sports, contributing to long-term performance improvements and more efficient talent management. However, success will depend on addressing infrastructural deficiencies, cultivating technical know-how, and fostering a data-driven culture within sports organizations.