Industrial big data analytics and case studies from the pulp and paper industry

Advanced digitalization within factories, combination of internet technologies, and Internet of Things related “smart” objects result in a new fundamental paradigm shift in industrial production, i.e. Industry 4.0 1. In order to succeed, Industry 4.0 solutions need several technological layers. More importantly, Industry 4.0 needs to be closely knit to the actual business needs. Only then new technologies can improve company business.

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There are four important technological layers which constitute the concept of Industry 4.0: Sensors that collect data from products and operations, reliable, real-time data transmission, cloudbased data warehouses, which combines data from multiple sources, and industrial big data analytics that refine data into meaningful information for decision support. The fourth layer, i.e. actual processing of big data into information, is the key to sustainable innovation within an Industry 4.0 factory 2. When these layers are working seamlessly, it is possible to build new digital services and business models on top of them, which enhance old ways of working and take them to ...

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