Netflix & Amazon Prime – Power BI Analytics Project
This project presents an interactive Power BI dashboard that analyzes and compares the content libraries of two major OTT platforms: Netflix and Amazon Prime Video. The dashboard focuses on understanding content strategy, audience targeting, growth trends, and geographic reach using data-driven insights. It is built as a portfolio project to demonstrate strong skills in data modeling, DAX, and business-focused visualization design.
- Analyze the overall content composition of OTT platforms
- Identify dominant genres and maturity ratings
- Track content release trends over time
- Understand geographic distribution of content
- Compare platform strategies using interactive visuals
This page provides a high-level snapshot of the OTT content libraries.
Key Elements:
- Total titles
- Movies vs TV Shows split
- Top genres
- Maturity rating distribution
- Platform comparison using slicers
Key Insight: Netflix shows a strong focus on movies and mature-rated content, while Amazon Prime maintains a broader mix of content types.
This page dives deeper into how platforms classify and target audiences through content.
Key Elements:
- Genre-wise content distribution
- Rating category analysis (TV-MA, PG-13, etc.)
- Platform-wise comparison of genres and ratings
Key Insight: Both platforms prioritize drama and comedy genres, but Netflix leans more towards mature audience categories.
This page focuses on time-based analysis of content expansion.
Key Elements:
- Year-wise content release trends
- Growth comparison between platforms
- Identification of peak expansion periods
Key Insight: A significant surge in content releases post-2016 highlights the aggressive growth phase during the global streaming boom.
This page analyzes the global footprint of OTT content.
Key Elements:
- Country-wise content distribution
- Regional dominance analysis
- Global reach comparison between platforms
Key Insight: The United States dominates content production, followed by strong contributions from India, the UK, and other international markets, reflecting localization strategies.
- Power BI
- DAX (Data Analysis Expressions)
- Power Query
- Data modeling (fact & dimension tables)
- Interactive slicers and tooltips
- KPI cards and trend analysis
Source: Publicly available OTT content metadata datasets
Usage: Analytical and portfolio demonstration purposes only
The dataset is used solely to demonstrate analytical and visualization skills. No proprietary, confidential, or restricted data is included.
- Designed multi-page dashboards with a logical analytical flow
- Built reusable DAX measures for KPIs and comparisons
- Applied business storytelling principles to data visualization
- Compared platform strategies using measurable insights
- Add audience ratings and popularity metrics
- Perform sentiment analysis on content descriptions
- Include subscription trends for deeper business insights
If you'd like to discuss this project or collaborate:
- LinkedIn: (Add your LinkedIn profile link)
- GitHub: (Your GitHub username)