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amazon-sales-analysis

๐—ฃ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ: To Uncover crucial insights and develop key performance metrics, peak seasons, top-performing segments, markets, and categories.

๐—ง๐—ผ๐—ผ๐—น๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—”๐—ฝ๐—ฝ๐—ฟ๐—ผ๐—ฎ๐—ฐ๐—ต:

๐Ÿ” Data Transformation and Visualization with Power BI:

1๏ธโƒฃ ETL (Extract, Transform, Load): Connecting to data sources, performing data cleansing, and transformation using Power Query.

2๏ธโƒฃ Data Modeling: Creating a robust data model.

3๏ธโƒฃ Key Metric Generation: Utilizing DAX to generate essential metrics.

4๏ธโƒฃ Compelling Visualizations: Developing insightful visual representations.

๐—ž๐—ฒ๐˜† ๐—™๐—ถ๐—ป๐—ฑ๐—ถ๐—ป๐—ด๐˜€: ๐Ÿ“ˆ I successfully developed and presented a range of significant metrics, including total orders, sales, profit, average delivery days, and monthly sales and profit year-over-year (YOY).

๐Ÿ“Š By harnessing data from the past two years, I created a 15-day forecast, offering valuable insights to steer future decisions and strategies. image

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To Uncover crucial insights and develop key performance metrics, peak seasons, top-performing segments, markets, and categories.

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