Abstract
This paper discusses Power BI, a Microsoft-developed business intelligence tool, for data visualization. It discusses its components, such as charts, maps, matrices, and custom visuals, and its process of connecting and importing data from various sources. The paper also discusses the advanced data modeling and transformation features, allowing users to shape and prepare their data for effective visualization. It also discusses the collaboration and sharing capabilities of Power BI, enabling teams to work together on data visualizations and distribute them to stakeholders. The paper also highlights best practices for creating effective data visualizations, such as selecting appropriate chart types, applying proper formatting, and incorporating interactivity and drill-down capabilities.
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More From: International Scientific Journal of Engineering and Management
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