Digitalization is advancing at a rapid pace, and innovative pioneers are successfully defining and implementing digital agendas.

What could only be imagined a few years ago can now be seen in new disruptive business models that are redefining entire industries. Organisations now face the reality that the technological revolution can no longer be stopped.

Combining our business and industry insights as well as our technology expertise, we have developed a holistic view of the potential of Industry 4.0 and the IoT through several client projects. Together with our partners GE Digital, Siemens, SAP, Salesforce and Microsoft, we provide business consultancy and solutions around two main megatrends, Digital Twin of the Product and Digital Twin of the Process. We support clients on their digital journey.

The big picture for Industry 4.0

Customer Centricity IoT

To master the challenges of Industry 4.0 and IoT requires orchestration across the value chain to gain the enormous optimization and business potential – product visioning, product management, product sales, manufacturing & assembly up to digital services and service management. We have expertise and assets that can accelerate your business in each of the four pillars of the value chain.

The four pillars of Industry 4.0

Your journey into Industry 4.0 and IoT has these four major stages of evolution 

By harnessing Big Data, your organization can remotely monitor all of your assets, and through Industry 4.0 and IoT, enable holistic value chain analytics. You can optimize production processes, reduce downtime and offer XaaS services for your clients. IoT enables automation as never before, with machines making split-second decisions based on real-time data. Industry 4.0 gives you not just smart factories, but also tremendous data to facilitate decision making in product management and product engineering.

We see the following opportunities to enable your success:

  • Sensor Expertise and Machine Connection (e.g., OPC-UA)
  • Sensing as a Service (what’s possible/agile IoT)
  • Edge Management Concept
  • Secure connection and Device Management
  • Data Lakes and Data Model
  • Advanced Analytics
  • Machine learning and prediction
  • Process integration (R&D, Product Management, Sales, Production, Service) and automation
  • Business Model creation and Business case
  • Creation and setup of new/additional business

Would you like more information?

If you want to get more information about this insight please get in touch with our experts who would be pleased to hear from you.

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