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.

Harshil Trivedi

Building dashboards that turn data into decisions