The Data Quality in Practice programme equips participants with the practical skills and methodologies required to assess, improve and manage data quality within organisational environments.
The programme combines hands-on techniques, governance frameworks and real-world use cases, ensuring participants can apply data quality practices directly in their operational context.
High-quality data is a critical enabler for decision-making, analytics, AI systems and operational effectiveness. Poor data quality leads to incorrect insights, operational inefficiencies and increased risk — especially in high-trust environments such as defence, public sector and regulated industries.
This training focuses on translating data quality concepts into practical, operational processes. Participants learn how to identify data quality issues, define quality standards, implement improvement actions and embed data quality governance within their organisation.
09:00 – Introduction
09:30 – Data quality fundamentals
11:00 – Break
11:15 – Measuring data quality
12:00 – Lunch
13:00 – Data profiling and validation
14:00 – Root cause analysis and problem solving
15:00 – Break
15:15 – Data quality improvement in practice
16:15 – Case study and conclusions
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