The "Amazon Prime Dashboard" project leverages Power BI to transform raw streaming data into actionable insights, offering a comprehensive overview of content performance on Amazon Prime. This project involves data import and cleaning, dashboard creation, DAX queries, data analysis, sales forecasting, and project insights. The final output includes detailed dashboards and reports that aid clients in resolving business problems and making informed decisions.
The Amazon Prime Dashboard project aims to analyze streaming data from Amazon Prime, providing insights into content performance across various dimensions such as genre, country, release year, and ratings. The project utilizes Power BI to visualize data, create interactive dashboards, and perform advanced analytics using DAX (Data Analysis Expressions). The primary objectives are to identify content trends, forecast future viewership, and generate actionable insights for content strategy improvement.
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Data Collection and Import:
- Collected streaming data from Amazon Prime's database.
- Imported the raw data into Power BI for analysis.
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Data Cleaning:
- Checked for missing values and inconsistencies in the data.
- Performed data transformation tasks such as removing duplicates, correcting errors, and standardizing data formats to ensure accuracy and consistency.
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Data Analysis and DAX Queries:
- Created calculated columns and measures using DAX to perform various calculations and aggregations.
- Developed complex DAX queries to analyze content data by different dimensions such as genre, country, release year, and ratings.
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Dashboard Creation:
- Designed interactive and visually appealing dashboards in Power BI to display key metrics and insights.
- Used various visualization types including bar charts, line charts, pie charts, and maps to represent data effectively.
- Created slicers and filters to allow users to interact with the data and drill down into specific details.
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Sales Forecasting:
- Applied time series analysis techniques to forecast future viewership based on historical data.
- Created a 15-day viewership forecast to help the business anticipate future demand and plan content strategy accordingly.
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Creating Tables Using DAX:
- Utilized DAX to create custom tables for specific analysis needs.
- Generated summary tables to aggregate data and provide a high-level overview of content performance.
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Project Insights:
- Conducted a thorough analysis of the data to extract key insights.
- Identified top-performing genres, countries, and release years.
- Analyzed content trends over time to understand viewer preferences and other patterns.
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Export Dashboard:
- Exported the final dashboards and reports from Power BI for presentation and sharing with stakeholders.
- Ensured that the exported dashboards were easy to interpret and provided valuable insights for decision-making.
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Outro:
- Summarized the project findings and highlighted key takeaways.
- Provided recommendations for content strategy improvement based on the analysis.
- Concluded the project with a reflection on the analytical process and the value added to the client's business.
The Amazon Prime Dashboard project successfully transformed raw streaming data into valuable insights through the use of Power BI. The interactive dashboards and detailed reports provided a clear understanding of content performance, enabling the client to make data-driven decisions. The viewership forecasting model offered a reliable prediction of future demand, helping the business plan ahead and optimize content strategy. Overall, the project demonstrated the power of data analytics in driving business success and resolving complex business problems.