Abstract: In today's world, the exponential growth of data is transforming the way we operate. The sheer volume of data being generated from diverse fields is astounding. Consequently, the value of data has become crucial in every aspect of decision-making. In the Big Data era, data exploration and visualization systems hold immense significance. Navigating and visualizing vast datasets pose a complex challenge for companies. To gain accurate insights from this massive data deluge, organizations must adhere to specific protocols. Implementing the right strategies for data analysis empowers businesses to optimize their processes and uncover untapped product and service opportunities. Failing to do so might lead to missing out on valuable insights. To address this, recent exploration and visualization systems should meet certain prerequisites and overcome various challenges. These systems must efficiently handle massive volumes of data from diverse sources to remain effective. In this context, understanding the different techniques and tools available for visualizing datasets becomes crucial. Their capabilities to handle and support extensive data from various sources will be instrumental in making sense of the ever-expanding data landscape.

Keywords: Data Visualization, Big Data, SNA, BA, SMA, BIA, BDA, Tableau, Power BI.

| DOI: 10.17148/IARJSET.2023.107130