Ideation with Big Data : A case study of a large mature firm

University essay from KTH/Maskinkonstruktion (Inst.); KTH/Maskinkonstruktion (Inst.)

Author: Bhadin Bunpuckdee; Ömer Tekbas; [2020]

Keywords: ;

Abstract: Big Data has in recent years gained much attention and interest from organizations. The rise of recent technologies has enabled data to be processed and stored in a simpler manner, thus asking organizations what value Big Data can bring to the organization. However, collecting Big Data does not automatically generate business opportunities; organizations need to understand how to process Big Data and how to implement the insights. To enable this, new competences are needed, and firms need to adapt into more co-innovated constellations. The purpose of this study is to investigate what innovation processes a team data-expert team working cross-functional uses to ideate possible business opportunities. Furthermore, the aim is to propose recommendations of how an organization can become more efficient when ideating. The case study was carried out for a large established company within Auditing and more specifically in a support department with expertise in data analytics, automation and artificial intelligence. The data was collected through internal interviews within the department, Department A. The case study resulted in recommendation of what to consider when ideating with Big Data. Key aspects to consider is that Big Data enables co-innovation to prosper and therefore conjoining customers, domain experts and Big Data experts is crucial for successful Ideation. Moreover, an understanding of different innovation aspects will thus help organizations understand how to ideate with Big Data more efficiently.

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