The animation industry across the globe is making a rapid growth and technological advancements, particularly with the induction of AI and VR/AR integrations that are becoming more and more prominent. The leading trends include collaboration of 2D and 3D elements of movies with AI-powered tools that helps in streamlining the production, and animated data visualizations. The proposed work is an in-depth business intelligence case study of the financial and creative triumph of Picxar Animation Studios as the most powerful and most influential motion picture animation giant in the world. The research leverages the capabilities of Advanced Microsoft Excel and Power BI together to reveal and compare multi-faceted information in Picxar's whole body of work—from production cost and global box office receipts to critical acceptance and viewers' ratings.

Analysis comes from an IMDb, Rotten Tomatoes, and global box office value dataset. The ultimate objective is to show how data-driven decision-making can maximize strategic planning for the entertainment sector, historically based on imagination and instinct. This case study is unique in that it combines the artistic process of filmmaking with the analytical weight of business intelligence. It shows how Excel and Power BI can establish profitability patterns, compute return on investment (ROI), ascertain audience preference over time, and in the process, create smart information for studios, analysts, advertisers, and content planners. In its very nature, this study not only examines past trends, but also provides a foundation for scenario planning and forward projection in media economics.

The findings show Picxar's ongoing ability to sustain narrative complexity and profitability and illustrate how thinking quantitatively and visualizing can be applied to guide real-world decisions in high-end narrative economies. The approach employed here scales up to large-scale settings, is portable across a range of disciplines, and has high applicability for data analysts, business decision-makers, and researchers operating at the technology-narrative-business interface..