Abstract
Digitized assessment of data quality in smart manufacturing facilitates the transformation towards efficient decision making in production environments. Inference can be drawn from the need of manufacturers, implementing robust and effective data analytics tools which emphasizes the demand for holistic data quality standards. Therefore, an interactive chatbot containing a comprehensive audit procedure incorporating a guideline aligned to ISO standards was developed. Using this tool, an applicable and structured audit process is offered to ensure data quality. This concludes in specific recommendations for manufacturers improving smart applications.
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