📅 2025-06-03 — Session: Evaluated Data Quality using GQM Framework
🕒 19:50–20:35
🏷️ Labels: GQM, Data Quality, Evaluation, Comparative Analysis, Data Science
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to evaluate and compare data quality reports using the GQM (Goal, Question, Metric) framework.
Key Activities
- Conducted a comparative evaluation of four data quality reports (G05, G06, G07, G08), focusing on the application of the GQM model and overall data quality.
- Analyzed data quality issues and the application of GQM for groups 5 to 8 and provided critical evaluations.
- Prioritized criteria for assessing data quality within the GQM framework, emphasizing the identification of relevant problems and proposing corrective actions.
- Conducted a detailed analysis for groups 9 to 17, evaluating data quality using GQM, focusing on coverage, depth, and diagnostics.
Achievements
- Successfully evaluated and compared data quality across various groups using the GQM framework.
- Identified key issues in data quality and prioritized them for further action.
Pending Tasks
- Implement corrective actions based on the identified data quality issues and priorities.