Type of course:
Digital learning, Lesson
Language:
EN
Duration:
5 minutes
Proficiency:
Beginner
Target:
Manager, Professionals, Workers
SUMMARY
Have you ever thought about the hidden value within your manufacturing data? Data may be called “the new oil,” but like oil, it needs refining to unlock its true potential. This lesson shows you how to turn the vast amounts of data generated by machines, processes, and supply chains into valuable insights.
Designed to demystify the role of data in manufacturing, this lesson explores various types of data—from operational metrics and quality control to supply chain records. Learn where this data originates, including Internet-of-things (IoT) sensors, supervisory control and data acquisition (SCADA) systems, and enterprise resource planning (ERP) platforms, and see how effective data collection and management lay the foundation for solving complex manufacturing challenges.
By the end of the lesson, you’ll gain a deep understanding of the diverse manufacturing data ecosystem and be ready to explore how data can drive improved operations and smarter decisions.

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.
Learning outcomes
- By the end of this lesson, learners will be able to identify the types of data commonly generated in manufacturing processes.
- By the end of this lesson, learners will be able to list the sources of manufacturing data, from sensors to supply chain systems.
- By the end of this lesson, learners will be able to explain methods for collecting and managing manufacturing data effectively.
Course Content
Topics
Uncategorized
