The present work shows the importance of the Big Data Analytics (Anisetti et al., 2018) scenario applied to corporate COVID-19 compliance, following the concept of “accountability” related privacy issues introduced by the new General Data Protection Regulation. This compliance approach is very useful for territorial security, environmental monitoring and safety prevention (in today pandemic context) and it is developed by the use of technologies (RFID, QR-CODE, NFC, blockchain) and HMI (Human Machine Interface) that it is fundamental core for data monitoring and information representation. The paper shows some new approaches about user HMI interface developed to collect big data about compliance and an innovative data representation approach using audio spectrum waves to record, share and evaluate compliance through an audio representation following a new process mapping approach.
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era
Massimiliano Giacalone;
2022
Abstract
The present work shows the importance of the Big Data Analytics (Anisetti et al., 2018) scenario applied to corporate COVID-19 compliance, following the concept of “accountability” related privacy issues introduced by the new General Data Protection Regulation. This compliance approach is very useful for territorial security, environmental monitoring and safety prevention (in today pandemic context) and it is developed by the use of technologies (RFID, QR-CODE, NFC, blockchain) and HMI (Human Machine Interface) that it is fundamental core for data monitoring and information representation. The paper shows some new approaches about user HMI interface developed to collect big data about compliance and an innovative data representation approach using audio spectrum waves to record, share and evaluate compliance through an audio representation following a new process mapping approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
