Comparative Analysis of Data Quality using GQM

• Day: 2025-06-03
• Time: 19:50 to 20:35
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: GQM, Data Quality, Comparative Analysis, Evaluation, Data Science

Description

Session Goal:

The session aimed to conduct a comparative analysis of data quality using the Goal-Question-Metric (GQM) framework, focusing on evaluating several reports and prioritizing data quality issues.

Key Activities:

• Evaluated four reports (G05, G06, G07, G08) based on their application of the GQM model and data quality.
• Conducted a comparative analysis of data quality for groups 5 to 8 and groups 9 to 17, assessing issues and the application of GQM.
• Prioritized criteria for assessing data quality within the GQM framework, emphasizing problem identification and corrective actions.
• Highlighted key data quality issues such as identifier consistency, attribute completeness, and atomicity.

Achievements:

• Completed a detailed comparative analysis of data quality for multiple groups using the GQM framework.
• Established a prioritization of data quality criteria and issues for future assessments.

Pending Tasks:

• Further exploration of corrective actions based on identified data quality issues.
• Extend the analysis to additional groups if necessary.

Evidence

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