STRATEGIC TRANSFORMATION THROUGH DATA GOVERNANCE: LEVERAGING KEY PERFORMANCE INDICATORS (KPIS) IN THE AIRLINE INDUSTRY

This study explores the critical role of Key Performance Indicators (KPIs) in enhancing data governance within the airline industry. The primary objective is to identify, analyze, and evaluate the impact of specific KPIs on data quality, security, regulatory compliance, and overall data governance. Employing a mixed-methods approach, the research integrates both qualitative and quantitative methodologies. Data was collected through semi-structured interviews with industry experts and detailed case studies of leading airlines. Quantitative data on KPIs was obtained from performance reports, regulatory filings, and industry databases. Statistical analysis and comparative case study analysis were used to evaluate the data. The findings reveal that KPIs such as Data Accuracy Rate, Data Completeness, Data Consistency, Data Timeliness, and Compliance with Data Governance Standards significantly enhance data governance practices. Case studies illustrate how airlines successfully implementing KPI-driven data governance frameworks have achieved improved operational efficiency, regulatory compliance, and customer satisfaction. The study underscores the importance of strategic KPI management in transforming data governance from a compliance-centric function to a value-driving component of airline strategy. Recommendations for industry practitioners include adopting comprehensive data governance frameworks, investing in advanced analytical tools, establishing dedicated data governance teams, and promoting continuous training and awareness. Future research directions suggest exploring innovative data governance practices, integrating emerging technologies, and conducting longitudinal studies to assess the long-term impact of KPIs on data governance

Keywords:

Data Governance , Key Performance Indicators , Airline Industry , Operational Efficiency , Regulatory Compliance.