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

Conference object English OPEN
Escandón-Quintanilla , Ma-Lorena ; Gardoni , Mickaël ; Cohendet , Patrick (2016)
  • Publisher: Springer International Publishing
  • Related identifiers: doi: 10.1007/978-3-319-54660-5_42
  • Subject: Idea generation | Innovation | Big data analytics | [ INFO ] Computer Science [cs] | Problem definition

Part 10: Big Data Analytics and Business Intelligence; International audience; 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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