Desenvolvendo Narrativas Visuais: Uma metodologia para criar dashboards de business intelligence através de storytelling de dados
Carregando...
Data
2023-11
Orientador
Dertzbacher, Juliano
Banca
Diemer, Mouriac Halen
Franzen, Evandro
Título do periódico
ISSN
Título do Volume
Editor
Resumo
No contexto de Business Intelligence (BI), os dashboards são ferramentas importantes para representar dados brutos em informações valiosas para a tomada de decisões empresariais. No entanto, a criação de dashboards eficazes representa um desafio quanto à qualidade dos dados, falta de clareza na interface do usuário, métricas mal definidas e falta de comunicação. Para superar esses desafios, propõe-se o uso de técnicas de storytelling de dados, que transformam os dados em narrativas coesas e envolventes. Este trabalho apresenta uma metodologia para a criação de dashboards que proporciona maior clareza e assertividade. A pesquisa exploratória foi empregada para detalhar os conceitos fundamentais de BI, visualização de dados e storytelling de dados, a fim de embasar a metodologia proposta. Através dessa abordagem, são fornecidas recomendações práticas direcionadas aos profissionais de TI. Além disso, apresentam-se exemplos de dashboards para ilustrar a aplicação da metodologia proposta, e a eficácia dos dashboards é avaliada através de testes com usuários. Os resultados desta pesquisa contribuem para os profissionais de TI na criação de dashboards eficazes.
In the context of Business Intelligence (BI), dashboards are important tools for representing raw data into valuable information for making business decisions. However, creating effective dashboards presents challenges regarding data quality, lack of clarity in the user interface, poorly defined metrics and lack of communication. To overcome these challenges, we propose the use of data storytelling techniques, which transform data into cohesive and engaging narratives. This presents a methodology for creating dashboards that provides greater clarity and assertiveness. Exploratory research was used to detail the fundamental concepts of BI, data visualization and data storytelling, in order to support the proposed methodology. Through this approach, practical recommendations aimed at IT professionals are provided. Furthermore, examples of dashboards are presented to illustrate the application of the proposed methodology, and the effectiveness of the dashboards is evaluated through user testing. The results of this research contribute to IT professionals in creating effective dashboards.
In the context of Business Intelligence (BI), dashboards are important tools for representing raw data into valuable information for making business decisions. However, creating effective dashboards presents challenges regarding data quality, lack of clarity in the user interface, poorly defined metrics and lack of communication. To overcome these challenges, we propose the use of data storytelling techniques, which transform data into cohesive and engaging narratives. This presents a methodology for creating dashboards that provides greater clarity and assertiveness. Exploratory research was used to detail the fundamental concepts of BI, data visualization and data storytelling, in order to support the proposed methodology. Through this approach, practical recommendations aimed at IT professionals are provided. Furthermore, examples of dashboards are presented to illustrate the application of the proposed methodology, and the effectiveness of the dashboards is evaluated through user testing. The results of this research contribute to IT professionals in creating effective dashboards.
Descrição
Palavras-chave
Business Intelligence; Dashboards; Visualização de dados; Data Storytelling; Metodologia; Data Visualization; Methodology
Citação
LIMA, João Guilherme Dedonatti de. Desenvolvendo Narrativas Visuais: Uma metodologia para criar dashboards de business intelligence através de storytelling de dados. 2023. Monografia (Graduação em Engenharia de Software) – Universidade do Vale do Taquari - Univates, Lajeado, 14 dez. 2023. Disponível em: http://hdl.handle.net/10737/4309.