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White Paper: The Data Maturity Model – Measuring M4.0 Progress

The Industrial Internet of Things (IIoT), a core driver enabling Manufacturing 4.0 (M4.0), empowers companies to collect deep data insights all the way from the “shop floor” to the “top floor”. With modern M4.0 technology and a mature process for collecting, storing, and analyzing this data, manufacturers can reduce costs and improve productivity and flexibility across the enterprise.

A manufacturing company’s data maturity level—and therefore its proactivity level solving business problems to drive business value—is determined by how it collects, stores, analyzes, and uses its data.

In a rapidly changing business climate, manufacturing companies must be able to adapt to the evolving needs of their customers. That means they need the resilience and agility to redeploy assets and quickly identify

issues like bottlenecks, low asset utilization, and subpar performance or quality.

Where does U.S. manufacturing stand today? Find out more. 

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To find out more about your data maturity level benchmark yourself against the industry, visit here >

Assessment Tool: What’s your Data Maturity?

About the author

With a global mindset and entrepreneurial spirit, Sandy Abraham works with and across the organization to execute on integrated marketing programs and to initiate compelling new operational models. Sandy loves pugs, travel, automotive engineering, the aerospace industry, and smart design.

 

 

Sandy Abraham

Marketing & Brand Management

sandy.abraham@forcam.com
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