International Journal of Science, Engineering and TechnologyAuthors: Sana Parveen
Abstract: Power BI, combined with the versatile Data Analysis Expressions (DAX) language, has emerged as a leading platform for transforming complex datasets into actionable business insights. This review explores the principles, methodologies, and best practices for mastering Power BI and DAX, emphasizing dynamic calculations, advanced data modeling, and optimized dashboard performance. It examines key components, including data connectivity, ETL processes, visualization frameworks, and performance tuning strategies that ensure responsive, scalable, and user-centric BI solutions. The article highlights advanced analytical techniques such as time intelligence, scenario analysis, and predictive modeling, illustrating how DAX enables complex, context-aware calculations. Industry-specific applications in finance, healthcare, and retail demonstrate practical use cases and the strategic value of data-driven decision-making. Challenges such as performance bottlenecks, large datasets, and user adoption barriers are addressed, alongside mitigation strategies involving efficient data structures, optimized DAX coding, and intuitive dashboard design. The review also presents emerging trends, including AI-assisted analytics, real-time streaming, cloud-native deployments, and natural language interaction, offering insights into the future trajectory of Power BI and enterprise BI solutions. By integrating technical mastery with strategic application, this article provides a comprehensive roadmap for developers, analysts, and decision-makers to leverage Power BI and DAX effectively, ensuring enhanced operational efficiency, informed decision-making, and sustainable competitive advantage.
DOI: http://doi.org/
