Advanced Data Modeling Techniques in Power BI...

Advanced Data Modeling Techniques in Power BI for Complex Business Reporting

Author Name : Afroz Shaik, Vanitha Sivasankaran Balasubramaniam, Phanindra Kumar, Niharika Singh, Prof. (Dr) Punit Goel, Om Goel

ABSTRACT In today’s data-driven enterprises, the ability to generate complex business reports efficiently is essential for informed decision-making. Power BI, a leading business intelligence tool, enables organizations to harness advanced data modeling techniques to address sophisticated reporting requirements. This research explores innovative approaches in Power BI for developing scalable and efficient data models capable of handling multifaceted business scenarios. Key areas discussed include star and snowflake schemas, normalization vs. denormalization strategies, DAX (Data Analysis Expressions) optimization, and the use of composite models. Additionally, the study highlights best practices for managing large datasets through aggregations, incremental refresh policies, and relationship management. Through case studies and real-world implementations, this paper demonstrates how these techniques improve reporting accuracy, streamline query performance, and enhance user interactivity. The findings aim to guide data professionals in building advanced data models that facilitate deeper insights, enabling organizations to meet their dynamic reporting needs effectively.