Advanced Data Visualization Methods and Tools in Cloud Platforms

Authors- Rohini Isarapu, Sharathchandra Gowda

Abstract-With the current big data solutions from providers including Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure among others, organizations can utilize powerful data visualization tools that lead to beneficial interpretation from raw data. Specifically, this paper discusses how these tools and platforms offer unique methods of data visualization, through Google Data Studio, Looker, BigQuery BI Engine, Amazon QuickSight, AWS Glue, and Power BI. All of these platforms have custom-specific options that vary depending on the business and its needs and incorporate real-time data processing, application of machine learning, and compatibility with other cloud solutions. This paper specifically discusses the application of these approaches in the context of telecommunications processes and shows what benefits the use of such tools can bring in terms of network monitoring, customer experience optimization, and fraud prevention. For instance, with BigQuery connected to Data Studio, telecom networks can visualize the patterns in the traffic flow and anticipate possible outages. Customer satisfaction and performance can be monitored using AWS QuickSight, which has built-in machine learning functionality, while Azure Synapse Analytics has useful tools for identifying fraudulent behaviors based on call detail records (CDRs). Moreover, this paper provides a comparison of these tools with emphasis on their main characteristics, their charging structure and the kind of environments they fit in the telecommunications industry. With these efficient and sophisticated cloud-based visualization applications, telecom companies can enhance their business productivity and hence customer satisfaction and service level.

DOI: /10.61463/ijset.vol.12.issue4.239