Quality 4.0 Analytics: A Data Hub Approach to Quality Management and Execution 

In today’s industrial scenario, analytics programs are seen as an important pillar and key enabler of not just Quality 4.0 but several other Industrial Transformation (IX) programs. 

While companies are investing a significant amount of time and resources in data analytics, our research shows that the majority of this investment goes toward analytics and not the data part.

Building the right people, process, and technology for data management is essential for analytics for any business function but is critically important for a function as pervasive as quality that includes multiple types of data, spanning across multiple points in the value chain.

In this new LNS report, you'll learn:

• What's new with Quality 4.0 and industrial analytics
• Common quality data practices and associated challenges 
• How a data hub opens new opportunities for Quality 4.0 analytics