Session 1: Foundations of Data Quality Management Governance

Learn to assess and diagnose data quality challenges through understanding key dimensions, governance principles, and the impact of poor data quality on decision-making. Explore TimeXtender's Holistic Data Suite and participate in a hands-on workshop to develop practical evaluation skills.

Topics Covered:

• Introduction to Data Quality and Governance
• Defining data quality and its key dimensions (accuracy, completeness, consistency, etc.)
• The importance of governance frameworks in maintaining data integrity
• Hidden costs of poor data quality and its impact on business decisions
• Assessing Data Quality
• Tools and methodologies for evaluating data quality
• Conducting hands-on data quality audits
• Identifying anomalies, root causes, and areas for improvement
• Best Practices Workshop
• Practical exercises for evaluating data quality in different organisational settings
• Interactive discussion on strategies for sustainable data governance

Outcome:

Participants will leave with a clear understanding of how to assess and enhance data quality, identify gaps in their current processes, and implement foundational governance strategies.