An Overview of the Opportunities and Challenges of Data Analytics in Industry 4.0: Solutions for a Data-Driven Future in SMEs
Data analytics have become a cornerstone of modern industrial management, offering tools to maximize performance, optimize processes, and provide a competitive advantage. This paper presents a comprehensive overview of the opportunities and challenges of implementing data analytics in industrial management, with a particular focus on solutions tailored for small and medium-sized enterprises (SMEs). It addresses the critical role of data in decision-making, the integration of data analytics within the Industry 4.0 framework, and the complexities surrounding data management. Despite challenges like data complexity, integration issues, and security concerns, the paper proposes strategic solutions such as cost-effective data governance frameworks, scalable data integration platforms, and affordable cybersecurity measures, all tailored to the needs and constraints of SMEs. Utilizing a multi-method approach that combines literature review and case studies, the findings underscore the necessity for SMEs to adopt advanced yet accessible data analytics strategies and the outlined solutions to remain competitive in the industrial landscape.
Authors
- J. R. Rios Leite
- Eliana Abreu
Institutions
- Polytechnic Institute of Coimbra (PT)
- Research Center for Natural Resources, Environment and Society (PT)
- University of Coimbra (PT)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.07.017
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00