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Abstract
INTEGRATING REAL-TIME DATA ANALYTICS INTO BUSINESS DECISION-MAKING: A CASE STUDY ON AUTONOMOUS VEHICLE HD MAP VALIDATION
*Mohammed Sharfuddin and Ashraf Ali Khan Mohammed
ABSTRACT
In the age of digital transformation, real-time data analytics have emerged as a critical driver of strategic business decisions. This paper presents a case study focused on the autonomous vehicle industry's high-definition (HD) map processing and validation systems. It explores how advanced data structures, AI-powered change detection, and scalable data mining pipelines improve operational efficiency and quality control in HD map production. The integration of these real-time analytics techniques supports data-driven strategic management, providing organizations with enhanced capabilities to responddynamically to evolving conditions. By bridging the gap between industry practice and academic research, this study highlights the role of real-time data analytics in optimizing business decision-making processes.
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