Nike Sales Performance Dashboard

1. Data Cleaning:

The cleaning process was minimal and straightforward:

Date Data Type Issue: The dataset had date columns in an incorrect format. To resolve this:

Split the columns as needed.

Adjusted the data types to correctly reflect dates.

2. Data Analysis:

Key metrics and insights were derived, focusing on:

Sales performance over time.

Regional and product-wise performance.

Trends in customer behavior.

3. Dashboard Design:

The dashboard was designed in Power BI with a focus on:

Clarity: Clear and concise visualizations for effective storytelling.

Interactivity: Filters and slicers to enable users to explore data dynamically.

Insights: Highlighting KPIs like total sales, growth percentage, and best-performing products.

4. Tools Used: Power BI.