From Acquisition to Interpretation: A Model for Creating Data Storytelling in Big Data

The processes involved in the planning, development, and optimization phases of a Big Data project pose challenges within the realm of Requirements Engineering (RE), emphasizing the complexities of requirements management in multidisciplinary teams. Streamlining activities related to requirements processes, as well as those involving other teams like the data science team, is crucial to the success of such projects. This article introduces a template designed to assist in creating data storytelling. The template encompasses everything from data collection sources to the types of visualizations to be used, and how to interpret these visualizations.

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Published
2025-07-20
DOI
https://doi.org/10.5753/lasdigov.2025.9233
Primary Topic
Software Engineering Techniques and Practices
Type
article
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article

From Acquisition to Interpretation: A Model for Creating Data Storytelling in Big Data

Rossana M. C. Andrade, Miguel Castro, Victória T. Oliveira, Ismayle S. Santos
Software Engineering Techniques and Practices
article

From Acquisition to Interpretation: A Model for Creating Data Storytelling in Big Data

Rossana M. C. Andrade, Miguel Castro, Victória T. Oliveira, Ismayle S. Santos
article en

Abstract

The processes involved in the planning, development, and optimization phases of a Big Data project pose challenges within the realm of Requirements Engineering (RE), emphasizing the complexities of requirements management in multidisciplinary teams. Streamlining activities related to requirements processes, as well as those involving other teams like the data science team, is crucial to the success of such projects. This article introduces a template designed to assist in creating data storytelling. The template encompasses everything from data collection sources to the types of visualizations to be used, and how to interpret these visualizations.

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Software Engineering Techniques and Practices
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From Acquisition to Interpretation: A Model for Creating Data Storytelling in Big Data — Rossana M. C. Andrade, Miguel Castro, et al. · (2025) | TGRS Research Map | TGRS