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This document provides a clear and structured overview of the implementation of a use case using the Gaio DataOS platform. The goal is to demonstrate how the platform can be leveraged to import, prepare, and analyze data through its integrated ETL, Analytics, and Delivery tools.
The project architecture was designed to support business intelligence processes by transforming raw data into meaningful reports and insights.
The solution is organized into sequential phases, including:
Data Extraction
Data Preparation
Insert Products
Delete Products
Update Customer Status
Delete Inactive Customers
User Identification
Customer Distribution
Python Execution
Basket Analysis
Principal Component Analysis (PCA)
Dashboard: Sales
Dashboard: Customers
Dashboard: Products
Register Product
This documentation is intended to offer a comprehensive view of the architecture, logic, and transformations that support this use case, enabling a deeper understanding of how Gaio DataOS can be applied in practice.
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