Optimizing Data Governance And Analytics Strategies: A KPI-Driven Approach In The Airline Industry

This article explores the critical role of Key Performance Indicators (KPIs) in optimizing data governance and analytics within the airline industry. The study adopts a mixed-methods research design, combining qualitative insights from interviews and case studies with quantitative analysis to assess the impact of specific KPIs on data governance, data quality, and business outcomes. Primary data was collected through semi-structured interviews with industry experts, while secondary data included a thorough review of literature and performance data from leading airlines. The findings highlight the importance of KPIs such as Data Quality Score, Data Accuracy Rate, and Report Usage Rate in driving improvements in data management practices and ensuring alignment with strategic business objectives. Case studies of major airlines demonstrate successful implementation of KPI-driven strategies, resulting in enhanced operational efficiency, customer satisfaction, and profitability. The research concludes that a KPI-driven approach is essential for maintaining high standards of data governance and achieving superior analytics outcomes in the competitive landscape of the airline industry. Future research is suggested to explore the integration of emerging technologies like AI and big data into data governance frameworks, further advancing the effectiveness of KPIs in this context

Optimizing Data Governance And Analytics Strategies: A KPI-Driven Approach In The Airline Industry Keywords:

Data Governance , Analytics , Key Performance Indicators , Airline Industry , Data Quality.