Planning the Combination of “Big Data Insights” and “Thick Descriptions” to Support the Decision-Making Process

  • Diana Arce CuestaEmail author
  • Marcos Borges
  • Jose Orlando Gomes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 918)


Practitioners and researchers have emphasized the importance of combining “Big Data insights” and “Thick descriptions” to support the decision-making process. However, organizations face challenges in the combination of these approaches. This paper suggests a guideline is necessary to provide clarity to the dynamics between “Big Data insights” and “Thick descriptions”. Thus, this paper presents a four steps conceptual Framework to support in the planning stage of “Big Data insights” and “Thick descriptions” combination. This Framework is composed of paradigms which provide ways to ponder the appropriateness of each approach. From the literature review, paradigms detailed in four informative tables were developed. A study case in education management illustrates the Framework application. Results have shown the Framework potential to support the planning of the combination of “Big Data insights” and “Thick descriptions” combination in educational management.


Big Data insights Thick descriptions Framework Paradigms 



This work was supported by CAPES – Brazilian Federal Agency.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Diana Arce Cuesta
    • 1
    Email author
  • Marcos Borges
    • 1
  • Jose Orlando Gomes
    • 1
  1. 1.Graduate Program on Informatics (PPGI), Institute of Mathematics (IM)Federal University of Rio de Janeiro (UFRJ)Rio de Janeiro - RJBrazil

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