Data & AI Training
Data Quality Assessment & Profiling
Measuring data quality in a way that drives insight and action, not noise.
Overview
Once quality expectations are defined, organisations need a consistent way to assess whether data meets them. This session focuses on the practical mechanics of data quality assessment and profiling, aligned to Gate 3: Assessment in the 8-Gate Framework.
Participants learn how to profile data, define quality rules and build scorecards that highlight what matters most. The emphasis is on actionable measurement rather than producing dashboards that nobody uses.
Who it is for
- Data Owners and Stewards responsible for quality measurement.
- Analysts and data engineers building quality checks.
- Governance and quality leads defining assessment frameworks.
- Teams implementing data quality tools or dashboards.
What you will learn
- How to design effective data quality assessments.
- How to profile data to understand patterns and issues.
- How to define quality rules aligned to business use.
- How to create meaningful scorecards and thresholds.
- How to avoid common measurement traps.
- How assessment feeds issues management and remediation.
Agenda
- From quality definition to measurement.
- Data profiling techniques and patterns.
- Designing quality rules and checks.
- Scorecards, thresholds and tolerance levels.
- Interpreting results and prioritising action.
- Examples and discussion.
Delivery and format
Delivered as a 1 hour interactive session, extendable into a hands-on profiling and assessment workshop.
- Format: Live virtual or on site.
- Group size: Up to 25 participants recommended.
- Optional: Follow-up hands-on profiling and assessment workshop.
Next steps
This course is commonly paired with: DQ3 · Data Remediation & Cleansing, DQ5 · Data Quality Monitoring & Reporting and HIT3 · Populating the Tool