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🎵 Spotify Artist Analysis & Performance Dashboard (2025)

A comprehensive Power BI Business Intelligence project analyzing Spotify artist performance across 8 major artists, 25 albums, and 527 billion combined followers. The dashboard transforms raw streaming data into strategic insights for music industry stakeholders.

Prepared by: Romaan Uddin Siddiqui
Tools: Power BI Desktop · Power Query · DAX


🖥️ Dashboard Preview

Main Dashboard

Spotify Artist Analysis Dashboard


📁 Project Files

File Description
Spotify_BRD.docx Business Requirements Document defining scope, KPIs, stakeholders, and success criteria
Spotify_Artist_Analysis_Report.docx Full project report with methodology, key findings, and strategic recommendations
Power BI Dashboard (.pbix) 7-page interactive dashboard with slicers for Artist and Genre

🎯 Project Objectives

  • Monitor follower growth and popularity scores across 8 artists and 25 albums
  • Analyze popularity trends by release year (2018–2023) to understand listener behavior
  • Break down performance by region and country to identify key geographic markets
  • Correlate musical attributes (Energy, Danceability) with follower engagement
  • Enable side-by-side artist comparisons to benchmark top performers

📊 Key Metrics (KPIs)

KPI Value
🎤 Total Artists 8
💿 Total Albums 25
👥 Total Followers 527 Billion
⭐ Avg Popularity Score 73.26
💃 Max Danceability 0.95
⚡ Avg Energy Level 0.79

🔍 Key Findings & Insights

🏆 Artist Performance

  • Taylor Swift leads with the most albums (5) and highest consistent popularity
  • The Weeknd, Ed Sheeran, and Bad Bunny are tied for top popularity scores (~29K each)
  • The Weeknd has the highest total followers at 76 billion

🎸 Genre Insights

  • Pop dominates with 59.2% of total popularity — the primary engagement driver
  • Reggaeton and R&B/Pop each contribute ~29K popularity scores, showing strong cross-genre appeal
  • High-energy, high-danceability tracks in Alt-Pop and Hip-Hop/Pop correlate with significantly higher follower counts

🌍 Geographic Insights

  • 70.76% of followers are concentrated in a single dominant region — indicating high geographic risk and expansion opportunity
  • Key markets include: United States, Brazil, France, Germany, and the United Kingdom
  • Europe accounts for the largest follower share (~3.5bn) among tracked regions

📈 Trend Analysis

  • Popularity peaked in 2021 (~74.5 avg) after steady growth from 2018
  • Post-2021 stabilization suggests market maturation — continuous new releases are essential
  • Follower counts and popularity scores move in similar cycles, peaking together in 2021–2022

🎯 Strategic Recommendations

  • Invest in All-Pop content — it drives 59.2% of engagement; prioritize artist signings in this genre
  • Launch campaigns in underperforming regions to reduce the 70.76% geographic concentration risk
  • Prioritize high-energy, high-danceability tracks — they consistently outperform in follower acquisition
  • Use Taylor Swift and Ed Sheeran as benchmarks for mentoring emerging artists
  • Target emerging markets (underrepresented countries on the geo map) for regional partnership campaigns

🛠️ Tools & Skills Used

  • Power BI Desktop — Dashboard development, data modeling, multi-page report design
  • Power Query — Data transformation and preparation
  • DAX (Data Analysis Expressions) — Custom measures for Total Followers, Avg Popularity, and aggregations
  • Data Analysis — Genre segmentation, trend analysis, geographic distribution, correlation analysis

📋 Dashboard Pages

Page Description
Dashboard Main overview with all key charts and KPI tiles
KPIs Dedicated KPI summary page
Comparison Artist vs. artist popularity, followers, and album count
Composition Donut/pie charts for genre, album, country, region, audience breakdown
Trend Popularity and follower trends by release year (2018–2023)
Geographical World map showing follower distribution by country
Statistical Bubble/scatter charts correlating energy, danceability, and followers

🔄 Project Workflow

Spotify Dataset (Static — 8 Artists, 25 Albums)
        ↓
Power Query (Data Cleaning & Transformation)
        ↓
DAX Measures (KPI Calculations)
        ↓
Power BI Dashboard (7 Interactive Pages)
        ↓
Stakeholders: Music Label Executives, Marketing Teams, Talent Scouts

👤 Author

Romaan Uddin Siddiqui — Aspiring Data Analyst
📍 Bhopal, Madhya Pradesh
🔗 GitHub Profile


💬 Feedback

Feel free to open an issue or connect via GitHub with questions or suggestions.

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Power BI dashboard analyzing 527bn Spotify followers across 8 artists - genre trends, geo insights, and engagement correlation

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