📊 Netflix Viewing Behavior & Recommendation Dashboard

📌 Project Overview

This Power BI dashboard analyzes 23,000+ Netflix titles to help content strategists and marketing teams understand:

• What users are watching
• When content is released
• Where content is produced
• Which genres are most popular
• And how to strategically plan future content production and promotion

Dataset Source: Netflix Shows Dataset - Kaggle

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📄 Pages & Features

1️⃣ Overview Dashboard

• ✅ Total Titles, TV Shows, Movies
• ✅ Movie vs TV distribution (donut chart)
• ✅ Content released by year (line chart)
• ✅ Global content distribution (map)
• ✅ Country, year, and type filters

2️⃣ Genre & Content Analysis

• ✅ Top 10 popular genres
• ✅ Genre treemap by volume
• ✅ Genre vs Content Type matrix
• ✅ Top titles by genre
• ✅ Hover-to-reveal title descriptions and countries

3️⃣ Time-Based Trends

• ✅ Titles added over time (line chart)
• ✅ Monthly trends (bar charts)
• ✅ Cumulative growth
• ✅ Content type split (Movie vs TV) by month
• ✅ Release trends by year

4️⃣ Insights & Strategy

• ✅ Key insights (cards): Dominant content, peak months, top genres, global spread
• ✅ Data-driven strategic recommendations:
  • Content production
  • Marketing
  • Platform optimization
  • Data insights
• ✅ YoY growth KPI, cumulative titles, and monthly release visuals
• ✅ Navigation buttons for seamless experience

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📈 Key Findings

• 69% of content is Movies, rest are TV Shows
• July and December are peak release months
• International Movies dominate in genre volume
• Over 24,000 titles were added in the most recent year
• Netflix has content from 748+ countries, with a heavy concentration in North America and Asia

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✅ Strategic Recommendations

• Focus more on International Movies & Comedies
• Release seasonal hits around July and December
• Expand underrepresented genres like LGBTQ+, Indie, Music
• Localize content strategy for regions like India, Japan, USA
• Improve Smart TV/Mobile UX and scale infrastructure accordingly
• Use data-driven campaigns around peak seasonality

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📎 Tools & Skills Used

• Power BI: KPIs, slicers, filters, map visuals, cards, DAX
• DAX: Year-over-year growth, cumulative count
• Visuals: Bar charts, donut chart, area chart, matrix, treemap
• UX: Navigation buttons, color themes, tooltips

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📄 Case Study PDF

👉 📥 Download Full Case Study (PDF)

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📁 Folder Contents

📂 Netflix-Dashboard-PBI
│
├── 📊 Netflix Dashboard.pbix
├── 📸 Dashboard Screenshots/
│   ├── Overview.png
│   ├── GenreAnalysis.png
│   ├── TimeTrends.png
│   └── InsightsStrategy.png
├── 📄 README.md
└── 📃 Netflix_Dashboard_Case_Study.pdf

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💼 Ideal For

• Data Analyst Portfolio Projects
• Business Intelligence Practice
• Power BI Storytelling Showcase
• Content Strategy and Streaming Analytics

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🔗 Links

• Dataset on Kaggle
• Email:rajsingh3706@gmail.com

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⭐ If you like this project, don’t forget to star the repository!