Integrating ThoughtSpot for Real-Time Analysis and Proactive Handling of Non Conformance and CAPA

Abstract

This study addresses quality management issues at Ethicon, a Johnson & Johnson subsidiary in Guaynabo, Puerto Rico, utilizing advanced analytics and process optimization methods. Through the integration of the ThoughtSpot AI-powered platform and the DMAIC paradigm, the study achieves its objectives. ThoughtSpot enables real-time data analysis, facilitating swift assessment of non-conformances globally. Extensive stakeholder involvement and precise data gathering identify areas for optimizing the quality management system. Time studies reveal significant efficiency gains, with a yearly reduction of 468 analyst hours attributed to ThoughtSpot. Detailed time analysis graphics pinpoint process inefficiencies, enabling targeted improvements. ThoughtSpot's implementation accelerates problem detection and resolution, enhancing operational effectiveness and quality standards adherence. The study highlights the potential of AI-driven analytics to transform the medical device sector by streamlining decision-making and boosting operational efficiency. Key Terms - CAPA, Data Analysis, DMAIC Method, Nonconformance, ThoughtSpot.