DAILY, WEEKLY AND SEASONAL PATTERNS IN PROCESSES: AN ANALYSIS WITH PROCESS MINING FOR THE DEVELOPMENT OF NEW TECHNOLOGIES

Authors

  • José Henrique Rodrigues Machado Author
  • Ygor Eduardo de Assis Barros Brito Author

DOI:

https://doi.org/10.56238/arev7n2-005

Keywords:

Process Mining, Temporal Patterns, Digital Transformation, Process Analysis, Process Optimization

Abstract

This article explores the potential of Process Mining for the analysis of daily, weekly and seasonal patterns in business processes, with a focus on the development of new technologies and the optimization of management in the era of digital transformation. Increasing digitization and an abundance of data require new approaches to extract actionable insights and drive strategic decision-making. Process Mining, by analyzing the digital traces left by operations, reveals the true dynamics of processes, unveiling temporal patterns that influence performance and efficiency. Identifying these patterns with Process Mining provides companies with a deeper understanding of their operations, allowing them to optimize resource allocation, anticipate seasonal demands, prevent bottlenecks, and develop more adaptable and efficient solutions. The article analyzes the benefits, challenges, and opportunities of Process Mining as a catalyst for digital transformation, driving innovation and building more effective, flexible, and customer-centric processes.

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Published

2025-02-03

Issue

Section

Articles

How to Cite

MACHADO, José Henrique Rodrigues; BRITO, Ygor Eduardo de Assis Barros. DAILY, WEEKLY AND SEASONAL PATTERNS IN PROCESSES: AN ANALYSIS WITH PROCESS MINING FOR THE DEVELOPMENT OF NEW TECHNOLOGIES. ARACÊ , [S. l.], v. 7, n. 2, p. 4575–4588, 2025. DOI: 10.56238/arev7n2-005. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/3108. Acesso em: 12 mar. 2025.