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Systemic Visual Structures: Design Solution for Complexities of Big Data Interfaces

  • Suraya Ya’acobEmail author
  • Nazlena Mohamad Ali
  • Norshita Mat Nayan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9429)

Abstract

The prime challenge for big data in handling variety, velocity and volume (3V) information is a complexity. In recent years, big data has been studied extensively from technology perspectives. However, far too little attention has been paid to the limited human cognitive to perceive and process the complexities, especially when the users as in the management team of organization need to digest the information collaboratively. The objective of this paper is to show how visual representation design can play an important role to facilitate this challenge. We term the challenge as collaborative complex cognitive activities (collaborative CCA) and is valuable for decision making, analytical reasoning, sense making, problem solving, learning and planning in the organization. In this research, we propose the systemic view as a fundamental to facilitate the collaborative CCA for big data. We attempt to extend the technical function of an overview to suffice the demonstration of systemic view through visual structure. By having this, we are able to view each information elements as part of the whole and giving them preparation to handle any emergence of ideas, information or tasks during the collaborative CCA. Finally, this paper also shows the result of the validation. We test the systemic view of visual structure demonstration through the experimental class with applying case studies in the real environment of the organization. The deductive qualitative analysis shows the benefits of the systemic view to clarify the main drivers and see the interconnection between various elements. Further than that, we find the potential of systemic visual structure to spark an innovation while performing collaborative CCA. Through this research, we hope to broaden the scope of visual representation to ensure the users are able to perceives, process and find values from the complexities of big data.

Keywords

Big data interfaces Visual representation Complexities Systemic 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Suraya Ya’acob
    • 1
    Email author
  • Nazlena Mohamad Ali
    • 1
  • Norshita Mat Nayan
    • 1
  1. 1.Institute of Visual InformaticsUniversiti Kebangsaan MalaysiaBangiMalaysia

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