Data Analysis Using Power BI

Abstract In today's data-driven world, organizations are increasingly relying on data analytics to derive actionable insights and make informed decisions. This dissertation explores the application of Power BI, a powerful business analytics tool by Microsoft, in transforming raw data into meaningful visual reports and dashboards. The study aims to demonstrate how Power BI can be effectively used to analyse, visualize, and interpret large datasets to support strategic decision-making processes. The research highlights key features of Power BI, including its data connectivity capabilities, data transformation through Power Query, DAX (Data Analysis Expressions) for complex calculations, and advanced visualization tools. Through a case study approach, real-world datasets are analysed to showcase the end-to-end process of building interactive dashboards that reveal trends, patterns, and performance metrics across various domains such as sales, marketing, and operations. key words from the abstract: Data Analytics, Power BI, Business Intelligence, Data Visualization, Dashboards, Microsoft, DAX (Data Analysis Expressions).

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-06-07
DOI
https://doi.org/10.55041/isjem04149
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Data Analysis Using Power BI

Md Alauddin
International Scientific Journal of Engineering and Management
Embedded Systems Design Techniques
article

Data Analysis Using Power BI

Md Alauddin
article en

Abstract

Abstract In today's data-driven world, organizations are increasingly relying on data analytics to derive actionable insights and make informed decisions. This dissertation explores the application of Power BI, a powerful business analytics tool by Microsoft, in transforming raw data into meaningful visual reports and dashboards. The study aims to demonstrate how Power BI can be effectively used to analyse, visualize, and interpret large datasets to support strategic decision-making processes. The research highlights key features of Power BI, including its data connectivity capabilities, data transformation through Power Query, DAX (Data Analysis Expressions) for complex calculations, and advanced visualization tools. Through a case study approach, real-world datasets are analysed to showcase the end-to-end process of building interactive dashboards that reveal trends, patterns, and performance metrics across various domains such as sales, marketing, and operations. key words from the abstract: Data Analytics, Power BI, Business Intelligence, Data Visualization, Dashboards, Microsoft, DAX (Data Analysis Expressions).

International Scientific Journal of Engineering and ManagementVol. 04(06)
Openalex Percentile: Top 88%
Embedded Systems Design Techniques
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