1. Aprende
    2. /
  2. Proyectos
    3. /
  3. Case Study: Ecommerce Analysis in Tableau
  • 1

    Data Exploration

    Gratuito

    In this first chapter, you’ll build a dataset for sales and expense analysis. You’ll combine multiple files, filter out invalid data, and create metrics for customers and orders. Using a self-join on sales data, learn to create a correlation matrix. Use the correlation matrix to determine products that are frequently bought together.

  • 2

    Ecommerce Analytics

    Next, you’ll create metrics for the most profitable products and customers. You’ll standardize location names and build a map of sales by state, before exploring the shipping cost metrics. Finally, you’ll build a what-if analysis to display the impact of shipping higher quantities on shipping costs.

  • 3

    Visualize Your Analysis

    In the final chapter, you’ll build multiple dashboards and present them as a coherent story. You’ll display the product and customer attributes that will result in the highest ROI for the upsell/cross-sell campaign. To round off, you’ll recommend specific actions to reduce shipping expenses.

Initializing