Analyzing Data with Different Charts and Visualizations in Power BI

Authors

  • R. Sangeetha Assistant Professor, Department of BCA, Vallal P.T.Lee CNASC, India
  • D. Elantamilan Principal, Vallal P.T.Lee CNASC, India
  • A. Indrapandi Assistant Professor, Department of BCA, The American College, India

DOI:

https://doi.org/10.63278/mme.v31i1.1310

Keywords:

Data Analyze, Visualizations, ETL and Power BI

Abstract

This paper explores the process of Extract, Transform, and Load (ETL) and its application in data analysis using Power BI. ETL is a critical step in the data integration pipeline, allowing organizations to collect, clean, and structure data from various sources for insightful analysis. The study delves into the stages of ETL, detailing how data is extracted from multiple sources, transformed through data cleaning and aggregation techniques, and loaded into a data model for reporting. Additionally, the paper highlights how Power BI, a powerful business intelligence tool, leverages this prepared data for creating interactive visualizations, reports, and dashboards. By combining ETL processes with Power BI's visualization capabilities, businesses can effectively analyze large datasets, uncover trends, and make data-driven decisions. The paper also discusses challenges related to data quality, performance optimization, and the integration of real-time data for enhanced analytics.The objectives of this paper are to gain an understanding of the ETL process and to demonstrate the visualization of a dashboard in Power BI. Overall, it demonstrates the synergy between ETL and Power BI in enabling comprehensive data analysis for organizations.

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How to Cite

R. Sangeetha, D. Elantamilan, and A. Indrapandi. 2025. “Analyzing Data With Different Charts and Visualizations in Power BI”. Metallurgical and Materials Engineering 31 (1):780-85. https://doi.org/10.63278/mme.v31i1.1310.

Issue

Vol. 31 No. 1 (2025)

Section

Research

License

Copyright (c) 2025 R. Sangeetha, D. Elantamilan, A. Indrapandi

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