Data Visualization using a Powerful Tool – Power BI

Swati Mahajan

doi:10.48001/jodpba.2023.111-4

Authors

Swati Mahajan Department of Computer Science and Engineering, Thakur Shivkumar Singh Memorial Engineering College, Burhanpur, Madhya Pradesh, India

DOI:

https://doi.org/10.48001/jodpba.2023.111-4

Keywords:

BI (Business Intelligence), Data, DA (Data Analytics), DV (Data Visualization), Powerful

Abstract

In today’s world, where data becomes a crucial thing in daily life it is hard to manage large amounts of data. And to manage data and to take relevant data we need data visualization and business intelligence. To understand Data Visualization, we first need to understand Business Intelligence (BI). BI is taking raw data and provides meaningful business insights which will help to make business decisions. BI is what makes your business smarter or to make your business intelligent. Data Visualization is the concept in which the data is represented by common graphics such as charts, plots, animations and many more. It is used for various purposes. It is used for data-driven insights and decisions. The data is represented by dashboards which are built by using tableau and power bi. The main purpose/goal of DV is making it easier to identify trends, patterns, and outliers in a large dataset because a single outlier can lead to wrong decisions.

Downloads

Download data is not yet available.

References

Cairo, A. (2016). The truthful art: Data, charts, and maps for communication. New Riders. https://rb.gy/irzia.

Erl, T., Khattak, W., & Buhler, P. (2016). Big data fundamentals: concepts, drivers & techniques. Prentice Hall Press. https://dl.acm.org/doi/abs/10.5555/2898954.

Gubala, C., & Meloncon, L. (2022, July). Data visualizations: An integrative literature review of empirical studies across disciplines. In 2022 IEEE International Professional Communication Conference (ProComm) (pp. 112-119). IEEE. https://doi.org/10.1109/ProComm53155.2022.00024.

Healy, K. (2018). Data visualization: A practical introduction. Princeton University Press. https://rb.gy/jt3ho.

Meloncon, L., & Warner, E. (2017, July). Data visualizations: A literature review and opportunities for technical and professional communication. In 2017 IEEE International Professional Communication Conference (ProComm) (pp. 1-9). IEEE. https://doi.org/10.1109/IPCC.2017.8013960.