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

Year: 2025
Type: conference-paper
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.
Language: English
Open Access status: gold
OpenAlex ID: W4412826093
FWCI:
Cites: 16
Cited by:
Related to: 10