[Whitepaper] ‘Data acquisition done better, cheaper and faster’


Peter Drucker once wrote: “What gets measured, gets managed”.

In manufacturing today Digital Manufacturing (DM) is the next step in process optimization. Where Lean was driven by insights from people close to the process, DM is driven by data gathered from the production process. But getting data out of machines that were not designed with data gathering and connectivity in mind can be (made) very complicated and expensive. 

In this whitepaper we describe a solution with the following advantages:

  • Data acquisition done better, cheaper and faster
  • Gain insights in your Overall Equipment Effectiveness (OEE)
  • Get a solution that can be deployed quickly without any impact on operations
  • Realize a platform that can be extended with Industrial Internet of Things (IIoT) sensors for better understanding of the working & optimization of equipment

If you are interested in a solution to data acquisition problems, or would like to discuss data enabled process optimization please download our whitepaper here.

Jorus Everaerd


Jorus worked in international banking before setting up a systems engineering company in (high end) smart homes. During his 10 year entrepreneurship Jorus discovered a passion for new and accelerating technologies and the possibilities that they offer to businesses. Following a study at Singularity University in Sillicon Valley he started giving talks and consulting on new technologies, smart buildings and digital transformation. His most extensive consultancy assignment was in Internet of Things (IoT). Jorus is driven by discovery, learning, ideation and uncommon challenges. In his current assignment at Philips he is developing a framework and model to measure impact on (customer- and user experience). This work involves quantification, IoT and machine learning. Jorus loves to talk and write about his work, technology and ideas so feel free to contact him.

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