Comprehensive Analysis and Improvement of ER Models

• Day: 2025-06-18
• Time: 16:30 to 17:15
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Er Model, SQL, Normalization, Machine Learning, Data Analysis

Description

Session Goal

The session aimed to analyze and improve Entity-Relationship (ER) models by completing cardinalities, identifying strong and weak entities, mapping to relational models, and normalizing tables.

Key Activities

• ER Diagram Analysis: Reviewed the Entity-Relationship Diagram (ERD), identifying strong and weak entities, and completed cardinalities.
• Relational Mapping: Mapped the ERD to a relational model, focusing on normalization and the transition to Third Normal Form (3NF).
• SQL Operations: Developed SQL queries for creating tables related to order details, user spending, and product analysis.
• AI Model Evaluation: Analyzed ROC curves, AUC, and threshold strategies for classification models, and evaluated regression trees for bias and variance.

Achievements

• Completed the analysis of ER diagrams, confirming all entities as strong and suggesting improvements for the ‘CUENTA’ table.
• Successfully mapped ER diagrams to relational models and normalized tables to 3NF.
• Developed SQL scripts for comprehensive data analysis in e-commerce and product metrics.
• Evaluated machine learning models, providing insights into parameter impacts and model evaluation strategies.

Pending Tasks

• Further refine SQL queries for more complex data analysis scenarios.
• Continue exploration of threshold strategies in classification models to optimize performance.

Evidence

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