Workshop

From Data to Value - Using Big Data and RTO to increase the Profit of Process Plants?

Readiness Assessment – Is your process/plant ready for Big Data?

Find out how to successfully prepare for the introduction of Big Data solutions at the VDI workshop From Data to Value – Using Big Data and RTO to increase the Profit of Process Plants. You will learn about the requirements your plants and processes need to fulfill and which digital solutions suit your needs best. Several practical examples will show you exactly how to overcome potential hurdles and how to make the best use of modern Big Data applications for your company.

Big Data – Success is a matter of preparation

Big Data offers numerous opportunities for companies in the process industry. But these opportunities are accompanied by major challenges that are often underestimated in practice. Modern production facilities produce a great deal of data, but to use the data effectively, various requierements need to be fulfilled first. The workshop “From Data to Value” shows how to address important questions in advance in order to lay the groundwork for successful implementation.

Amongst other things, you will learn how to prepare and structure existing data to be processed and analyzed digitally. The event includes practical elements and will allow you to discuss examples from your company with other participants and the workshop chair, who is a leading Big Data expert.

Based on realized industrial projects, the participant is shown how big data projects can be prepared and how big data can be used to leverage economic potentials. To get a deep understanding the way of data processing will be shown and many questions of the necessary procedure will be discussed. After the training, every participant will be well prepared to lead the use of Big Data Analytics and Real Time Optimization to success.

The workshop will take place on the day before the international conference “Digitalization in the Process Industry 2018”. You can benefit from a reduced rate when you book both Events.

Content of the workshop

Monday, 19. November 2018

Introduction & Background

  • The target of Big Data Analytics
  • Resource productive operations of plants with Big Data
  • The way from raw data to Big Data Analytics
  • Necessary requirements for using Big Data Analytics

Hands On

  • Performing a readiness assessment for your company
  • Produce concrete results for your work with data
  • Discuss your own use case
  • Optimized MTP plant operation

Target Audience

The workshop “From Data to Value” is targeted towards professionals and executives who engage with the introduction of Big Data solutions in the process industry. Amongst others, these include:

  • Facility Operators
  • Business Development Managers
  • Project Engineers
  • Process Engineers

Your chairman: Dipl.Ing. Thomas Froese

Dipl.-Ing. Thomas Froese is the Managing Director of atlan-tec Systems GmbH. He is involved in the analysis and optimization of procedural processes and is a Big Data expert. Furthermore, he works as an External Senior Advisor for McKinsey and as volunteer chairman and leads the VDI/VDE Big Data panel of experts, which was founded in 2015. Workshop Partners:
Stefan Pluis, ICT Netherlands; Andre Barneveld Brinkhuysen, Deloitte; Violett Zeller, Industry 4.0 Maturity Center (Aachen)

Register now and secure your seat!

You want to know how to gain value from data? You would like to develop strategies for the implementation in your company in small working groups with a renowned Big Data expert? Then you should secure your seat for the VDI workshop "From Data to Value – Using Big Data and RTO to increase the Profit of Process Plants?”

Eventnumber: 05ST902

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In case of queries, you can reach us here

You can reach us at:

+49(0)2116214-201
+49(0)2116214-154
wissensforum@vdi.de

Hotel Reservation

A limited number of rooms has been reserved for the benefit of the conference participants at the conference venue. Please use the reference "181120VDIW" when booking your room by phone +31 20 655 3131 or e-mail.

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