Leveraging ETL automation and data analytics to drive a reduction in software development bottlenecks: Lessons from Global South

This study explores how ETL (Extract, Transform, Load) automation and data analytics can alleviate software development bottlenecks, with a focus on the global South. The aim is to uncover strategies that enhance software quality, shorten delivery times, and cut costs by leveraging data-driven methodologies. The research employs a comprehensive review of existing literature, analyzing contemporary tools, technologies, and best practices. It emphasizes the role of ETL automation in integrating data analytics into the software development lifecycle, showcasing how these processes drive efficiency and sustainability.
The study’s key findings highlight that ETL automation plays a critical role in improving data consistency, accuracy, and processing speed, thereby enhancing the reliability of software solutions. Data analytics, on the other hand, enables predictive modeling and real-time decision-making, crucial for proactively managing development challenges. The research further stresses the value of incorporating circular economy principles and indigenous practices to promote sustainability and cultural relevance in software development. These findings advocate for a holistic approach in the global South, where embracing regulatory compliance, climate resilience, and stakeholder engagement can significantly benefit software development practices.
Concluding that the adoption of ETL automation and data analytics is essential for resolving software development bottlenecks, the study recommends that organizations integrate advanced technologies while aligning their strategies with both local and global standards. This approach not only streamlines the development process but also fosters the creation of innovative, sustainable software solutions. The study suggests future research directions, including the integration of AI and machine learning into ETL processes, the establishment of comprehensive policy frameworks, and the promotion of interdisciplinary collaboration to further advance the field.