Data Collection Frequency for Quality Control (Pilot)

SUMMARY

Have you ever wondered how often you should collect data to maintain your aimed standards in your data science based quality control process? Striking the perfect balance is crucial—too little data might cause you to miss critical anomalous product, while too much can overwhelm your systems and waste resources.

This lesson is designed to introduce the art of determining the right data collection frequency to optimize your quality control. You’ll learn how to set up data collection processes that are timely, cost-effective, and insightful, empowering you to make proactive decisions that keep your operations running smoothly.

Whether you’re in manufacturing, or any field where quality matters, this course will leave you confident in your ability to gather the right data at the right time—guaranteeing consistent, high-quality outcomes.

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.