

Session 2: Leveraging TimeXtender for Data Quality Excellence
A Talk by Melanie Schneider and Adam Rudd
About this Talk
Discover TimeXtender's robust data quality capabilities and develop strategic approaches to enhance data quality across your organization. Practice implementing effective data quality rules, profiling techniques, and governance frameworks through interactive exercises.
Topics Covered:
- Implementing Effective Data Quality Rules
- Defining and enforcing data validation and cleansing processes
- Automated vs. manual approaches to maintaining quality
- Data Profiling and Anomaly Detection
- Techniques for identifying inconsistencies and improving data accuracy
- Case studies on successful data quality interventions
- Governance and Stewardship
- The role of data stewards in maintaining long-term data integrity
- Building accountability and engagement across teams
- Hands-on Workshop
- Practical exercises using TimeXtender for implementing data quality frameworks in different organisations
- Group discussion on challenges and solutions
Outcome:
Participants will develop a structured approach to improving data quality through strategic implementation of validation rules, profiling techniques, and governance models.