Empowering Librarians Through Data Analytics: Advancing Skills for Modern Information Services

Abstract

In an era defined by digital transformation, librarians are increasingly expected to transcend traditional roles and integrate data analytics into library operations to support evidence-based decision-making and enhance service delivery. This study investigates the current level of data analytics proficiency among Nigerian librarians, explores perceived relevance, identifies key challenges, and proposes strategies for capacity development. A survey was conducted among 63 professional librarians across academic libraries in Nigeria, and data were analyzed using descriptive statistics. Findings reveal that most librarians possess only basic or intermediate proficiency in tools such as Microsoft Excel, SPSS, Power BI, and data visualization techniques. Notably, Power BI and advanced data cleaning remain areas of low competence. The major barriers to skill acquisition include a lack of formal training (87.3%) and limited institutional support (6.3%), especially in mentorship. Despite these challenges, an overwhelming majority (90.5%) perceive data analytics as highly relevant to their professional responsibilities, highlighting a strong willingness to learn and adapt. The study recommends integrating data analytics into LIS curricula, institutionalizing regular professional training, and fostering mentorship and support systems. It also advocates for policy reforms and dedicated funding to bridge the data competency gap. By empowering librarians with data analytics skills, libraries can better align with global digital trends and reinforce their roles as indispensable partners in academic and research ecosystems.