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FIR e. V. an der RWTH Aachen

Analytics4Innovation

Analytics4Innovation


The objective of the planned project is to enable small and medium-sized enterprises (SMEs) from the engineering sector to develop innovative value-added services from their available data together with their clients within a short time.

©denisismagilov - stock.adobe.com
©denisismagilov - stock.adobe.com

Through the development of data based services, traditional companies from the engineering sector receive the chance to extend their product portfolio and to differentiate themselves from market competitors. However, the high cost pressure, insufficient IT-knowledge and the merging of industry boundaries in the engineering sector complicate the development of digital service offerings. While more and more companies from other industries, such as Amazon or Alibaba, offer technological services for their clients, especially small and medium-sized enterprises fall behind in the development of innovative after-sales services. Even though the established engineering companies already have access to a multitude of information about customers, this information is not used today for the development of data-based value-added offers in after-sales.

The project examined the issue of which and how SMEs can use business analytics tools to develop new services to strengthen their service portfolio and competitiveness. For this purpose, suitable data sources and business analytics tools are identified (for example machine data of the installed base, log files, service data, etc.) and compared with the process models of service engineering. It will also research which data analysis tools can be implemented with little effort by SMEs to provide new services from the available data. Practicality is demonstrated by field trials with SMEs.

Project Partner

This Project is/was processed within the following Trade:

  • Research and Development

Classification within the thematic Landscape of the FIR

  • Topic Area: Service Management
  • Research Focus: Service Engineering
  • JRF Leading Theme: Society & Digitization

Your Contact Person

Optehostert, Felix

Further Contact Person

Kuntz, Jan

Project Duration

01.10.2017 - 30.09.2019

Homepage belonging to the Project

analytics4innovation.de

Project Number

03239/17 N

Research Funding Organisation

Logo of the Research Funding Organisation Bundesministerium für Wirtschaft und Energie (BMWi)
Bundesministerium für Wirtschaft und Energie (BMWi)

Project Management Organisation

Logo of the Project Management Organisation Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto von Guericke" e. V. (AiF)

Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto von Guericke" e. V. (AiF)

Funding Information

The IGF project 19692 N of the research association FIR e.V. at RWTH Aachen was funded by the AiF within the framework of the program for the promotion of industrial community research and development (IGF) by the Federal Ministry of Economics and Energy (BMWi) on the basis of a decision of the German Bundestag.

Funding Context

Bundesministerium für Wirtschaft und Energie (BMWi) – aufgrund eines Beschlusses des Deutschen Bundestages

(c) 2009-2019 Institute for Industrial Management at RWTH Aachen University   -   www.fir.rwth-aachen.de