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  4. 63 Use Cases for Analyzing Data in Product Management of Manufacturing Companies
 
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2024
Conference Paper
Title

63 Use Cases for Analyzing Data in Product Management of Manufacturing Companies

Abstract
Product management in manufacturing companies continues to change. Traditionally reliant on experience and intuition, product managers are facing a transformative era driven by digitalization. The growth in available data, coupled with an expanding spectrum of data sources, is opening up opportunities for data-driven decision-making in product management. For example, the needs of customer groups can be better understood through the analysis of social media data. This paper addresses the current lack of a comprehensive overview of use cases for analyzing data in product management. Through five workshops and 21 interviews with product management experts from manufacturing companies, we identified 63 use cases for analyzing data in product management. This paper aims to provide a valuable reference for practitioners seeking to enhance their analytical capabilities, fostering a more data-driven approach to product management.
Author(s)
Grigoryan, Khoren
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Fichtler, Timm
Paderborn University
Asmar, Laban
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Kuehn, A.
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Dumitrescu, Roman  
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Mainwork
30th Americas Conference on Information Systems Amcis 2024
Conference
30th Americas Conference on Information Systems, AMCIS 2024
Language
English
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Keyword(s)
  • Data Analytics

  • Data-driven

  • Decision Making

  • Lifecycle Data

  • Product Data

  • Product Management

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