Goal of the study

How are current products used by the customer and what are the requirements for the next product generations? Which competitive products or technological disruptions endager the company‘s activities? More than ever, these are important questions in the context of product and portfolio management of manufacturing companies. In order to make successful strategic decisions, it is therefore important to obtain an overall picture of all areas of the market. Due to the growing availability of data and new techniques of analysis, the market intelligence holds promising potential, but also challenges.

In cooperation with a consortium of 9 manufacturing companies, the Complexity Management Academy and the Labatory for machine tools and production engineering are carrying out an international benchmarking study on the topic of „Market Intelligence“.


The aim of the study is to identify factors for a successful implementation of market intelligence in the product and portfolio management.

The focus of this study is on the collection of available and suitable data on the market and its targeted and correct transfer into relevant knowledge. Furthermore, the necessary methods and tools as well as organizational requirements for successfully anchoring market intelligence within the organization are exciting and at the same time challenging aspects, which we would like to discuss with you in the study.

 

Please be invited to use the questionnaire to examine your strategy and previous approach to the implementation and use of market intelligence. As a participant, you will also receive a free individual positioning of your company in comparison to leading industrial companies’ market intelligence approach in the course of an anonymized study evaluation. As one of five successful practice companies, you can also find out which successful and efficient solutions are used in other successful practice companies.

You can find the online questionnaire here.

 

Timeline

The benchmarking study is designed for 9 months. During the initial screening phase data is captured in a global context based on the questionnaire. In collaboration with our industrial and scientific expert network promising approaches are further analyzed by case studies with the respective participants of the study. As part of the evaluation phase, the returns are analyzed while all participants are provided with an individual positioning within the overall study results. According to the overall motto “Learn from the best”, best practices are shared across the successful practice companies and the consortium in the course of five company visits.


Scope of the study

You can find the key topics of the consortial benchmarking study below.


Market

  • How can relevant data be identified and collected on the market?
  • ...


Intelligence

  • Which decisions and use cases can be supported by the findings?
  • ...


Organizational requirements

  • How is the market intelligence anchored in the corporate organization?
  • ...


Methods and Tools

  • Which methods and tools can be used to evaluate and interpret collected data? 
  • ...


Industrial consortium

Get in touch

Annika Becker
Project Lead
Werkzeugmaschinenlabor WZL der RWTH Aachen
Campus Boulevard 30
D-52074 Aachen
T +49 241 80 27565
M +49 151 43190381

Email: a.becker@wzl.rwth-aachen.de

 


Alexander Keuper, M.Sc. RWTH
Project team member
Complexity Management Academy GmbH
Campus Boulevard 30
D-52074 Aachen
T +49 241 80 22151
M +49 151 43115499

Email: alexander.keuper@complexity-academy.com


Dr. Christian Dölle
Chief Engineer - Department Innovation Management
Werkzeugmaschinenlabor WZL der RWTH Aachen
Campus Boulevard 30
D-52074 Aachen
T +49 241 80 27568
M +49 151 43184343

Email: c.doelle@wzl.rwth-aachen.de


Maximilian Kuhn, M.Sc. RWTH
Authorized Signatory
Complexity Management Academy GmbH
Campus Boulevard 30
D-52074 Aachen
T +49 241 80 28196
M +49 151 43164208

Email: maximilian.kuhn@complexity-academy.com