2022
DOI: 10.24251/hicss.2022.741
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A Reference Process Model for Usage Data-Driven Product Planning

Abstract: Cyber-physical systems generate and collect huge amounts of usage data during operation. Analyzing these data may enable manufacturing companies to identify weaknesses and learn about the users of their products. Such insights are valuable in the early phases of product development like product planning, as they facilitate decision-making for product improvement. The analysis and exploitation of usage data in product planning, however, is a new task for manufacturing companies. To reduce mistakes and improve t… Show more

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Cited by 8 publications
(3 citation statements)
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“…Figure 1 illustrates these concepts. Meyer et al (2022) propose a reference process model for the analysis of use phase data in product planning. It consists of four main processes: (1) Planning of the use phase data analysis, (2) Analysis and data preparation, (3) Analytics workflow design and modeling, and (4) Exploitation of the data analysis results (Meyer et al, 2022).…”
Section: Analyzing Use Phase Data In Product Planningmentioning
confidence: 99%
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“…Figure 1 illustrates these concepts. Meyer et al (2022) propose a reference process model for the analysis of use phase data in product planning. It consists of four main processes: (1) Planning of the use phase data analysis, (2) Analysis and data preparation, (3) Analytics workflow design and modeling, and (4) Exploitation of the data analysis results (Meyer et al, 2022).…”
Section: Analyzing Use Phase Data In Product Planningmentioning
confidence: 99%
“…Then, ideas for improving the product and related requirements are developed. Finally, the product strategy and other documents are updated based on the new insights, ideas, and requirements (Meyer et al, 2022). Figure 2 shows the reference process model.…”
Section: Reference Process Modelmentioning
confidence: 99%
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