I designed and developed a Spotify-inspired Music Analytics Dashboard in Microsoft Power BI, combining data modelling, DAX, interactive navigation, and custom dashboard design into a single analytical experience.

The dashboard allows users to explore music data from different perspectives — from overall performance and popularity to individual artists, songs, albums, and trends over time.

What I built

- Overview Dashboard — high-level KPIs and music performance trends - Artist Analytics — artist rankings, song counts, popularity and catalogue analysis - Song Analytics — song popularity, duration, year-wise analysis and album insights - Interactive Navigation — seamless movement between dashboard sections - Dynamic Visual Analysis — monthly trends, popularity patterns and category comparisons - Detailed Data Tables — deeper exploration beyond summary-level KPIs - Spotify-inspired UI — dark, modern interface designed around the visual identity of a music streaming platform

Key metrics explored

- 342 Artists - 789 Distinct Songs - 562 Albums - Average Song Duration: 3.28 minutes - Average Popularity: 90

Tools & Skills

Power BI · DAX · Data Modeling · Data Visualization · Interactive Dashboard Design · KPI Development · Business Intelligence

The goal wasn't simply to create another Power BI report — it was to make the data explorable, intuitive and visually engaging.

Interested in turning your own data into an interactive Power BI dashboard? Let's connect.