Outcome
What participants leave with
Clearer understanding, practical templates, and a path to apply the training in their own environment.
Course syllabus
Data Quality Training
Build a practical data quality capability that helps teams detect, prioritize, and resolve data issues consistently.
What you will learn
This track is built to help professionals go from theory to implementation with structured modules and hands-on guidance.
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Quality
Detailed syllabus
Hands-on practice
Focus 1Define the dimensions of data quality
Focus 2Design rules and thresholds for monitoring
Focus 3Build issue triage and remediation flows
Detailed syllabus
Module-by-module coverage.
Use this syllabus as the roadmap for a training session, a private coaching call, or a team workshop.
- Data quality fundamentals and business impact
- Dimensions: accuracy, completeness, validity, timeliness, consistency
- Data profiling and issue discovery techniques
- Rule design, thresholds, and exception handling
- Scorecards, KPIs, and quality dashboards
- Issue management and root-cause analysis
- Remediation workflows and ownership models
- Data quality governance operating model
- Automation and monitoring strategy
- Workshop: build a quality framework for one data domain
Format
Best delivery style
Use this track as a live session, a focused workshop, or an implementation coaching series.
Ready to book
Need this course tailored for your team?
Book a session and we can adapt the syllabus to your tools, current maturity, and business goals.