Data-Driven Decision-Making: A Catalyst for TQM Leadership in Education

The significant role of data-driven decision-making (DDDM) in context of Total Quality Management (TQM) leadership in education is examined in this review study. The paper's main aim is to integrate the body of current literature with the successful role that DDDM leadership techniques, incorporated in TQM Framework in ensuring the quality of education. To explore its objectives, the study applies a systematic review methodology. Employing keywords associated with data-driven decision making, leadership, and TQM in education, the latest research's data bank was assembled from Google Scholar, Research Gate, ERIC, and Science Direct, Springer. Thorough analysis of research publications pursuant to inclusion criteria that prioritized data-based decision-making leadership in education within a TQM framework was enable accessible by the preliminary review of titles and abstracts. The review comprises academic articles published since 2021. A thematic analysis was conducted on the obtained data. The influence of data literacy on leadership efficiency and TQM-guided continuous improvement with the goal of enhancing student performance and academic achievements are the predicted conclusions. Successful DDDM is accompanied by an encouraging environment under TQM leadership. Mediocre leadership, data incompetence, reluctance to change, and a lack of funding are some of the possible concerns that are also emphasized.