Interactive Power BI Dashboard for analyzing Netflix streaming trends, viewer behavior, content performance, and global availability.
This interactive Power BI Dashboard transforms Netflix streaming data into actionable business insights by analyzing viewer engagement, genre popularity, streaming quality, demographics, user segments, and country-wise content availability.
Designed with Netflix-inspired branding, the dashboard enables decision-makers to monitor KPIs, identify viewing trends, optimize content strategy, and improve user retention through data-driven insights.
| 📌 KPI | 📈 Value |
|---|---|
| ⭐ Average Rating | 7.36 |
| 👀 Total Views | 85.30K |
| 💰 Average Cost | $349.13 |
| ⏱ Avg Watch Duration | 52.06 Min |
🎭 Genre Filters
- Anime
- Documentary
- Mini-Series
- Movie
📅 Watch Duration Analysis
- Weekday engagement comparison
- Peak streaming days identification
👥 User Segment Analysis
- Re-Activated Users
- Binge Watchers
- Casual Viewers
- New Users
- Churned Users
- Power Users
🌎 Country-wise Content Distribution
- India
- Spain
- Germany
- Brazil
- South Korea
- France
- Mexico
- UK
- USA
- Japan
📺 Streaming Quality Analysis
- Dolby Vision
- 4K HDR
- 1080p
- 720p
- 480p
👶 Age Rating Distribution
- A
- U/A 7+
- U/A 13+
- U/A 16+
- Others
✔️ Weekend (Friday & Saturday) records the highest streaming engagement.
✔️ Re-Activated Users represent the largest customer segment, indicating effective win-back campaigns.
✔️ Premium quality (Dolby Vision + 4K HDR) contributes nearly 42% of all streams.
✔️ India has the highest content availability among analyzed countries.
✔️ Content ratings are evenly distributed across age groups, reflecting a balanced content portfolio.
📦 Netflix-Analytics-Dashboard
│
├── netflix_dashboard.pbix
├── netflix_dashboard_data.csv
├── netflix_dashboard.png
└── README.md
Raw Dataset
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Data Cleaning
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Power Query
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Data Modeling
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DAX Measures
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Interactive Dashboard
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Business Insights
Give it a ⭐ on GitHub and feel free to fork it!
