RT conference output
T1 IoT Data Quality Assurance Framework for Reliable Process Analytics
A1 Maldonado, Andrea
A1 Bazán Muñoz, Adrián
A1 Malburg, Lukas
A1 Bertrand, Yannis
A2 Ingeniería Informática
K1 IoT-enhanced Business Processes
K1 Data Quality Management
K1 Internet-of-Things
K1 Expert-in-the-Loop
AB Data quality is a major concern in all data analysis tasks. In IoT-enhanced business processes, data quality issues often arise from faulty sensor measurements, which are propagated through event abstraction to incorrect process decisions. In this paper, we investigate the main challenges in data quality management for IoT-enhanced business processes and isolate four subchallenges. Each subchallenge is first defined and put in perspective withrelevant literature and representative real-world use cases before we present five overarching opportunities to address the subchallenges. Finally, we conclude the paper with a research agenda, making recommendations over multiple time horizons to improve data quality management in IoT-enhanced business processes.
SN 1613-0073
YR 2026
FD 2026
LK http://hdl.handle.net/10498/40605
UL http://hdl.handle.net/10498/40605
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026