• Raghunandan Alugubelli

We are living in a world that generates large amounts of data daily. Corporations are making data-driven decisions basing on their data and data visualization is an essential part of it. Organizations store essential data for a better competitive position and save it in future and decision-making processes. We have various tools available in the market- some of them are Sisense, Tableau desktop, Whatagraph, and Hubspot. These tools assist in making data presentation easy. This paper focuses on the importance of data visualization, primary tools, and software for data visualization, and theoretical architectural framework for data visualization. Finally, the article will focus on the critical challenges faced by data visualization and steps for mitigation.

Data Visualization, Data Analytics, Architecture

"Visualization for Data Analytics and Data Science", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.586-594, March-2018, Available :http://www.jetir.org/papers/JETIR1803362.pdf

"Visualization for Data Analytics and Data Science", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp586-594, March-2018, Available at : http://www.jetir.org/papers/JETIR1803362.pdf