How to Implement Practical Data Quality Management

Organisations are becoming increasingly data-driven — but poor data quality continues to impact reporting, compliance, operations, and decision-making.

This course is designed for teams who want to build a shared, practical approach to Data Quality Management across their organisation and prepare them for the DAMA CDMP Data Quality Specialist Certification Exam.

All our training courses are available as public online courses or private in-house courses which can also be customised into bespoke training solutions to meet your particular requirements.

Please Note: Course dates only apply to the Public Courses, not to In-house – Private Courses will be scheduled as per client requirements.

Sending individuals on training can improve personal knowledge, training a team together creates organisational capability.

When teams learn together:

• Shared understanding of data quality standards and terminology
• More consistent data practices across the organisation
• Improved collaboration on data issues and reporting
• Easier implementation of new data quality processes
• Stronger accountability and ownership
• Better communication between business and technical teams
• Teams return aligned, motivated, and ready to execute

Private team training transforms learning into a shared operational improvement initiative — not just a once-off course.

This course will provide the participants with the knowledge they need to implement Data Quality Management. The Practitioners Course is designed to help those who are (or will be) responsible for managing Data Quality.

• Data Quality Awareness – What your team must understand about the importance of Data Quality (DQ)
• Data Quality in Context – The role of Frameworks, DQ Dimensions, Data Models and Metadata in the context of DQ Management
• Data Quality Management – The theory of the Data Quality practice
• Assessment – How to approach conducting a Health Check on Data, how to profile Data, and what the profiling statistics tell us
• Requirements – The requirements of business Data Producers and Consumers, rules to which Data must conform and DQ Targets and Thresholds
• Measurement – How to measure the Data based on the Business Requirements
• Correction – How to “fix” incorrect Data in terms of missing, incorrect and duplicate Data
• Prevention – How to identify the Root Causes of Data defects and stop the issues from re-occurring
• Tools – An overview of the technology to assist you, what the tools can do and some of the available products
• Conclusion – We put it all together within the context of Data Management.

We designed this course to help those who are (or will be) responsible for managing Data quality to:

• Understand the issues affecting Data Quality and recognise and quantify the symptoms
• Develop an action plan to address those issues in a controlled and repeatable process
• Demonstrate how Data Quality Management improves the business and operational ‘bottom-line’
• Prepare you to obtain the DAMA Data Quality Specialist Certification Exam.