Print Email Facebook Twitter What Does Data Analytics Offer for Extracting Knowledge from Middle-of-Life Product Data? Title What Does Data Analytics Offer for Extracting Knowledge from Middle-of-Life Product Data? Author Abou Eddahab-Burke, F. (TU Delft Cyber-Physical Systems) Horvath, I. (TU Delft Cyber-Physical Systems) Contributor Peruzzini, M. (editor) Pellicciari, M. (editor) Bil, C. (editor) Stjepandić, J. (editor) Wognum, N. (editor) Date 2018 Abstract Companies are getting increasingly interested in learning how different customers use their products. Collecting data about the use of products provides useful insights and facilitates design enhancements. Effective data analytics needs dedicated tools. In this paper, we summarize the results of our literature research done with special attention to existing tools. We observed that everything is changing rapidly and getting more complex in terms of data and processing methods and tools. While remarkable attention has been paid to processing big data, much less is being devoted to effective semantic progressing of middle-of-life (MoL) data. One of our findings is that commercialized data analytics tools have not addressed extraction, aggregation, and handling genuine MoL data adequately. Another one is that the currently available tools are in the lack of the capability to adapt themselves to designers needs and to produce results that could be reused in multiple design tasks. Nowadays products are equipped with smart capabilities and this offers new opportunities for exploiting middle-of-life data. The knowledge aggregated in this study will be used in the development of a sophisticated toolbox. This will: (i) integrate various tools under a unified interface, (ii) implement various semantics orientated and smart reasoning-based functions, and (iii) facilitate data transformations by practicing designers in contexts. Subject Data AnalyticsMiddle-of-Life Product DataAnalytics ToolsApplication Practices To reference this document use: http://resolver.tudelft.nl/uuid:306b486f-71c5-4f3c-af55-9b63a3e2fa76 DOI https://doi.org/10.3233/978-1-61499-898-3-1102 Publisher IOS Press, Amsterdam ISBN 978-1-61499-897-6 Source Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0: Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering Event 25th ISPE Inc. International Conference on Transdisciplinary Engineering, 2018-07-03 → 2018-07-06, Modena, Italy Series Advances in Transdisciplinary Engineering, 7 Part of collection Institutional Repository Document type conference paper Rights © 2018 F. Abou Eddahab-Burke, I. Horvath Files PDF ATDE7_1102.pdf 516.21 KB Close viewer /islandora/object/uuid:306b486f-71c5-4f3c-af55-9b63a3e2fa76/datastream/OBJ/view