ANALYSIS OF DATA ANALYTICS IMPLEMENTATION SUCCESS FACTORS IN MANUFACTURING

Technological developments always create new challenges for organizations to adapt so that they remain competitive. Today, are dealing with rapid technological and the disruption of digital transformation. The characteristics transformation in manufacturing application latest technology supports processes information connected, between production machines, products as well high adaptability a system. In achieving main goal Industry 4.0, namely smart can respond fluctuations market demand high-quality products, it is necessary apply collect analyze data produce intelligent solutions, which often referred use Data Analytics. Literature study shows there various barriers or implementation Analytics companies. However, none these studies have discussed what success factors need be prioritized treatment. This causes less effective. aim this research provide strategic recommendations form priority sequence criteria used by stakeholders companies able implement effective Determining handling obstacles Multi-criteria Decision Making (MCDM) problem, AHP method obtain basis increasing effectiveness manufacturing. From results, was found top 3 were Effective driven communication (People Management), Technology Infrastructure Integration (Technology) then Training Upskilling Management).