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Core Components of Data in Quality 4.0 Framework PPT


This PPT slide, part of the 25-slide Quality 4.0 Series: Pillars (Part I) PowerPoint presentation, outlines the core components of data as influenced by Quality 4.0, emphasizing 5 key attributes: Volume, Variety, Velocity, Veracity, and Transparency. It begins by noting that traditional systems manage substantial data volumes, particularly in areas like corrective and preventive actions (CAPA) and quality data. The transition to connected devices under Quality 4.0 generates vast amounts of data, necessitating unique strategies such as the implementation of Data Lakes.

Data gathering is categorized into 3 types: structured, semi-structured, and unstructured. Structured data is highly organized, often associated with CAPA and quality events. Semi-structured data, while still having some organization, utilizes metadata tags, whereas unstructured data lacks organization entirely, often deriving from sensors and connected devices.

The slide further elaborates on the significance of velocity, detailing how quickly data is gathered. It highlights that CAPAs typically exhibit low velocity, while data from statistical process control and connected devices can reach high velocities. This aspect underscores the importance of real-time data processing in modern operations.

Veracity and transparency are also critical, focusing on the accessibility of data irrespective of its storage location. This ensures high accuracy and clarity in data interpretation. The slide stresses the need for robust data models that integrate various data types, enhancing the overall reliability of the information.

Finally, it addresses the challenge of traditional data systems, which often suffer from low veracity due to fragmentation and automation deficiencies. Quality 4.0 aims to rectify these issues, enhancing the trustworthiness of data sources and processing methods. This framework is essential for organizations looking to leverage data effectively in the evolving landscape of Industry 4.0.




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Quality Management & Assurance Fourth Industrial Revolution Statistical Process Control Industry 4.0

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