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CODE: NMA07 DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
In a rapidly evolving business landscape, organizations must shift from reactive quality control to proactive, data-driven quality management. This course provides participants with the knowledge and tools to integrate data analytics into quality systems, enabling real-time decision-making, process improvement, and strategic performance management.
Delegates will explore methodologies such as Six Sigma, Statistical Process Control (SPC), and root cause analysis, while learning how to leverage digital tools and dashboards to monitor quality metrics across operations. The course is highly practical, focusing on turning raw data into actionable insights that improve product, service, and process quality.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain knowledge and skills to:
Understand how data analytics supports modern quality management systems
Apply statistical tools to monitor, measure, and improve quality
Integrate quality data into dashboards and performance reports
Use root cause analysis and predictive analytics to prevent defects
Align quality metrics with organizational goals and customer expectations
Implement a culture of continuous improvement based on data evidence
At the end of this course you’ll understand:
This course is suitable for Quality Managers, Process Improvement Specialists, Data Analysts, Operations Managers, Manufacturing Professionals, Auditors, Compliance Officers, and anyone involved in quality control and assurance functions.
