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Big Data Analytics as Input for Problem Definition and Idea Generation in Technological Design

Abstract : Big data analytics enables organizations to process massive amounts of data in shorter amounts of time and with more understanding than ever before. Many uses have been found to take advantage of this tools and techniques, especially for decision making. However, little applications have been found in the first stages of innovation, namely problem definition and idea generation. This paper discusses how big data analytics can be utilized in those stages. It includes an example of application in problem definition and proposes a case study implementation in a higher education setting for idea generation.
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Ma-Lorena Escandón-Quintanilla, Mickaël Gardoni, Patrick Cohendet. Big Data Analytics as Input for Problem Definition and Idea Generation in Technological Design. 13th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2016, Columbia, SC, United States. pp.468-477, ⟨10.1007/978-3-319-54660-5_42⟩. ⟨hal-01699708⟩

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