This project involved analysing sales and performance-related data for the Prime Video streaming platform using Tableau. The objective was to build an interactive dashboard that allowed stakeholders to explore and visualise metrics such as total sales, content release trends, genre performance, viewer engagement by region and time period. The dataset was carefully cleaned and transformed, then connected to create a data model supporting dynamic filters (by genre, country, year, content type) and visualisations such as radio charts, bar charts, geographic maps, and KPI cards. The end result enabled deeper insights into how content categories, regions and time periods influence sales and viewership.

The dashboard was built to transform raw Prime Video sales and viewership data into actionable business insights. Starting with CSV datasets containing details such as movie titles, genres, release years, regions, and revenue figures, I cleaned and prepared the data in Tableau Prep — removing duplicates, standardizing fields, and merging data sources for consistency. I developed calculated fields to derive metrics like Revenue Growth %, Average Viewer Rating, and Top-Performing Genres. The dashboard enables business and analytics teams to explore sales performance dynamically. They can filter by region, genre, or time period to observe how revenue and audience engagement evolve across markets. Interactive charts and KPIs instantly update to reveal growth trends, highlight popular genres, and uncover underperforming regions. The visualizations were designed to balance clarity with interactivity, helping decision-makers quickly interpret key patterns and make strategic choices around content investment, regional marketing, and future release planning.