Advanced Data Analytics

Consortium Project
»Facing the Smart Future: Advanced Data Analytics«
for Smart Products, Production, Services & Business Processes


Vast quantities of data are daily generated and offer new potentials when collected, aggregated and analyzed for e.g. better decision making. But along come plenty of questions about how companies should cope with these new and challenging technologies: How can value be created to your business through advanced data analytics? Which platform and tools should be chosen for your company? What will be the lead application that will drive data analytics technologies in particular segments?

In cooperation with experts from research and industry, KEX Knowledge Exchange will conduct the consortium project »Facing the Smart Future: Advanced Data Analytics« which focuses on smart products, production, services and business processes.

KEX Knowledge Exchange already conducted several successfull consortium projects with the participation of over 80 renowned international companies.

Start: 1st of June 2017

End: 26th of April 2018

Participation in the ongoing project is not possible.
Please do not hesitate to contact us for further information and upcoming projects.

Patrick Kabasci, Project Leader
Patrick Kabasci, Project Leader

Extract of former participants:


Digitalization, including the integration of networking capabilities into physical products and production lines, has entered various industries and application fields by now. Terms like »Internet of Things«, »Industrie 4.0«, »The Industrial Internet« or »Smart Data« are no longer just buzzwords but are applied by various companies. Vast quantities of data are generated daily and offer new potentials for better decision making or potentially disruptive digital business models. Various industries and markets have a high potential for smart products, production, services and business processes getting even 'smarter' through advanced data analytics.

In the consortium project we aim to get answers to these and many other questions:

  • How do companies cope with these new and challenging technologies?
  • How is value created to your business through advanced data analytics and which platform and tools should you choose for your company and application?
  • What will be the lead application that will drive data analytics technologies in particular segments?
  • Which related products, services and data providers will define the future ecosystem of your products and services?



Creating economic and technological transparency regarding actual developments and upcoming technology trends

Exploring and analyzing market and technology trends and possible game-changing digital business models and experience data analytics tools in practice

Promoting valuable exchange and networking between the most relevant international industry partners and experts


  • Learn how to leverage data to create value to your business
  • Understand and shape the roadmap of upcoming data analytics applications in your industry
  • Discover the technical challenges for the application of advanced analytics and find out how to cope with them
  • Get to know digital business models enabled by data analytics
  • Experience data analytics tools in selected use cases
  • Network with cross-industrial players and experts

Key Questions

Market / Application

Products, Systems & Services

  • In which ecosystems will my products and services be used?
  • How can I establish the right network of partners for leveraging the potentials?

Business Processes

  • What kind of analytics do I need to help me in my business processes?
  • How can I spot sales process anomalies, opportunities and risks in real-time?


  • Which different forms of analytics can be used for process based and order based data?
  • How can integration of data be achieved along the value chain?
Applications and Enabler of Industrie 4.0

Technology / Enabler

Data Management

  • What is the best way of getting my products' data into an analytics platform?
  • How can collected data be leveraged for added customer value?
  • Where is the best place in the system to reduce large amounts of data?

Data Reasoning

  • What are the challenges to derive useful insight from my data?
  • Which is the right data analytics platform for my applications?
  • How can I make sure results are meaningful?

Data Communication

  • Which ways of visualizing or summarizing data analytics results do I need to make use of the results?
  • How can I communicate complex analytics results to customers?


Network of Experts

The consortium project...

  • is based on extensive knowledge and previous projects done by the research partners in the context of »Industrie 4.0«, »Data Analytics« and other smart applications 
  • leverages the pooled expertise in the consortium
  • builds an expert network that enables knowledge exchange and information generation across value creation stages and business sectors
  • brings together all experts and decision makers involved with data analytics in smart products, production, services and production processes

    ► Benefit from the opportunities provided by our network and determine which innovations will soon be cutting edge in the market!

Addressed partners in the project

Addressed partners in the project

Target Markets



Aerospace and Defense

Aerospace and Defense

Industrial Solutions

Industrial Solutions

Energy and Storage

Energy and Storage

Consumer and Retail

Consumer and Retail



Healthcare and Medical

Healthcare and Medical

Government Services

Government Services

Transport and Logistics

Transport and Logistics

Project Approach

Stage 1 - Pilot Study

Status-quo of market applications, relevant trends, technologies and tools

Stage 2 - Analysis

Detailed analysis on selected applications regarding technological opportunities and market potential

Stage 3 - Business Cases

Comprehensive business cases on selected highlight applications regarding technological feasibility and market competitiveness

Use Cases

Experience and test of different data analytics tools on real data

Research Partners

Fraunhofer Institute for Production Technology IPT

  • Founding year: 1980
  • 415 employees
  • Business portfolio: Turbomachinery, Tool Making, Optics, Lightweight Technologies, Life Sciences Engineering, Integrated Mechatronic System
  • Knowledge and experience in all fields of production technology for developing and optimizing solutions for modern production facilities

Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen

  • Founding year: 1906
  • 760 employees
  • 16,000 m² offices and laboratories
  • Business portfolio: Manufacturing Technology, Gearing Technology, Machine Tools, Metrology and Quality Management, Production Engineering and Production Management
  • Knowledge and experience in all fields of production engineering and production management for developing and optimizing solutions for modern production facilities

Demonstration Factory of RWTH Aachen Campus

  • Founding year: 2013
  • Small-scale production of marketable products with a high vertical range of manufacture on 1,600 m²
  • Application, exploration and further development of Industrie 4.0 solutions with industrial and research partners
  • Implementation of smart systems enabling transparent and consistent order tracking on the shop floor
  • Further education in a real production environment

Institute for Industrial Management at RWTH Aachen

  • Founding year: 1953
  • Industry-oriented research in the areas service management, information management and production management
  • Part of the initiative for excellence in North Rhine-Westphalia (NRW)

Cybernetics Lab IMA/ZLW & IfU at the RWTH Aachen

  • Founding year: 1974
  • Interdisciplinary triple-institute
  • One focus of research is on the use of computer science methods in modern mechanical engineering. Central areas of application are robotics and automation engineering, distributed intelligence systems and virtual reality models.
  • Other fields of research cover human-machine interaction, agile development, knowledge management and the internet of things
  • Expertise from the integration of data and information to the application of machine learning and data analysis methods for the control and monitoring of production systems

INC Invention Center

  • Founding year: 2014
  • Full-service provider for Technology and Innovation Management
  • Fast and customer-related implementation of ideas into innovations