Key points are not available for this paper at this time.
The world of IoT services offers extensive opportunities to connect devices and upload data to the cloud, enabling data-driven decisions, AImodel processing, and dynamic visualizations through powerful dashboards. Big data encompasses descriptive, diagnostic, predictive, and prescriptive analytics, managing vast volumes of high-velocity and diverse data. In today's business landscape, the ability to analyse data swiftly is not only essential but mandatory for any organization. Simultaneously, the ease of use of data visualization tools has been a driving force behind the wide spread adoption of tools like Tableau, which leads the market in this domain. This paper presents a comprehensive account of creating interactive visualizations for real-time data from IoT applications, utilizing Tableau as a business intelligence tool. It highlights the significance of real-time data analytics in the IoT context and showcases how interactive visualizations can provide valuable insights and facilitate prompt decision-making. By leveraging the capabilities of IoT services, cloud connectivity, bigdata analytics, and Table au, organizations can unlock the potential of their data, leading to better performance and a competitive edge into day's fast-paced business environment.
Latane et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: