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Analyze Olist's e-commerce data with Tableau for actionable insights into sales trends and customer behaviors. Optimize strategies based on detailed transaction records.

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Olist-E-commerce-Platform-Analysis-πŸ“ŠπŸ“¦

Welcome to the Olist E-commerce Platform Analysis repository! This interactive platform provides an in-depth exploration of the Olist e-commerce dataset, offering valuable insights into sales trends, customer behavior, and product performance.

Overview πŸ“‹

The Olist e-commerce dataset includes detailed information about online transactions, such as order dates, product categories, customer demographics, and more. By leveraging Tableau's powerful visualization capabilities and detailed analysis tools, users can uncover actionable insights to drive informed decision-making for their e-commerce business.

Features πŸš€

  • Explore Sales Trends: Analyze sales data over time with dynamic charts and graphs.

  • Customer Behavior Analysis: Segment customers and study their behavior to develop targeted marketing strategies.

  • Product Performance Assessment: Evaluate product performance to optimize inventory management.

  • Interactive Dashboards: User-friendly dashboards for seamless data exploration and insights discovery.

Getting Started πŸ› οΈ

To get started with the Olist e-commerce platform analysis:

  1. Clone this repository to your local machine.
  2. Install Tableau or ensure it is available on your system.
  3. Open the Tableau workbook and start exploring the dataset using the interactive visualizations and analysis tools provided.

Contribute πŸ’‘

Contributions to enhance the functionality and features of this repository are welcome! Feel free to submit pull requests or open issues for any improvements or suggestions.

License πŸ“

This project is licensed under the MIT License. See the LICENSE file for details.

Contact πŸ“§

For any inquiries or feedback, please contact Shreyash at [email protected].

Happy analyzing! πŸŽ‰

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Analyze Olist's e-commerce data with Tableau for actionable insights into sales trends and customer behaviors. Optimize strategies based on detailed transaction records.

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