LEVERAGING DATA ANALYTICS TO ENHANCE DECISION MAKING IN PURCHASE ORDER MANAGEMENT: A CASE STUDY IN ACA COMPANY

• Main Author: Arrafi, Faris
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/79766
• Institution: Institut Teknologi Bandung

This study explores the application of data visualizations to improve decisionmaking in purchase order management, focusing on a case study within ACA Company. In an era where data plays a pivotal role in business operations, leveraging analytics in purchase order management becomes essential for efficiency and informed decision-making. The research delves into the implementation of data visualizations, their impact on optimizing purchase order processes, and the resulting enhancements in decision-making within ACA Company. Through a comprehensive analysis, the study aims to highlight the practical benefits and challenges encountered in integrating use of data into purchase order management systems. The findings contribute valuable insights for organizations seeking to harness the power of data visualizations for better decision outcomes in procurement. This research focuses on providing real evidence in the effectiveness and also what benefits are offered by data visualizations in improving decision making in the scope of purchase order management at ACA Company. This research also provides some analysis generated and also a real product for controlling the level of order cancellation in ACA Company. The research concludes with recommendations for ACA Company and similar organizations on implementing data visualizations in their purchase order systems. It also outlines potential areas for future research, particularly in the scalability of data visualizations frameworks across different industries.