This Tableau Data Analysis project revolves around exploring the Superstore Sample dataset. The objective is to derive meaningful insights and create impactful visualizations to aid decision-making. Below is a brief summary of the project's key components and outcomes.
You can view my interactive Power BI Report here.
- Import Superstore Sample dataset into Tableau.
- Conduct data cleaning and transformation for improved analysis.
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Visualize sales and profit by customer segments.
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Incorporate filters for focused analysis.
- Apply forecasting techniques for predicting future sales.
- Compare forecasted values with actual sales.
Display sales by product category, profit by product name, and sales by region and state.
Illustrate incremental contributions to sales and profit from subcategories.
Enhance the understanding of the relationship between categories and sales.
Analyze and compare the performance of three selected product categories.
Showcase monthly sales trends, customer counts by region, profit ratios, and detailed order information.
Craft a compelling narrative highlighting insights derived from the product dashboard and waterfall chart.
This documentation serves as a guide through the entire process, offering transparency into data preparation, report creation, and the storytelling aspect of the Tableau Data Analysis project. For a detailed exploration, refer to the full documentation.