DAMA CDMP Specialist – Data Quality

The one-day DAMA CDMP Specialist Data Quality training course offers you, as a data management professional, the in-depth knowledge you need to improve data quality within your organization in a structural and measurable way. Based on the DAMA DMBoK2 Revised Edition, you will learn how to apply quality management principles to data: from policy and standards to monitoring and process improvement.
In addition, this training course provides thorough preparation for the official DAMA CDMP Data Quality Specialist exam.

What can you expect?

This training offers a balanced mix of theory, practical cases, and interactive exercises. You will learn how to sustainably embed data quality in processes, systems, and culture. You will also actively prepare for the CDMP Specialist exam with the help of representative practice questions and reflection on realistic scenarios.

What will you learn?

After completing this training course:

• You will understand why data quality plays a key role in effective data management.
• You will know how data quality relates to other disciplines such as data governance.
• You will be able to translate data quality objectives into functional requirements and testable specifications.
• You will be able to set up processes for measuring, monitoring, and improving data quality.
• You will know how to identify and sustainably resolve quality issues;
• You will be substantively prepared for the DAMA CDMP Data Quality Specialist exam.

Who is this training intended for?

This training is intended for professionals who already have the DAMA CDMP Associate certificate at Practitioner or Master level and want to specialize in the manageable and demonstrable improvement of data quality. Think of Data Stewards, Data Quality Analysts, BI specialists, and anyone who is committed to reliable, usable, and consistent data.

Training structure

You will learn using the internationally recognized DAMA DMBoK2 Revised Edition and actively practice with exam questions and practical case studies. Knowledge transfer takes place through presentations, group assignments, use cases, and discussion.

Desired prior knowledge

• CDMP Associate at Practitioner or Master level
• Basic knowledge of data management principles and data quality concepts

Why participate?

Reliable data is essential for good decisions, customer confidence, and process optimization. This training provides you with the tools and insights to structurally raise data quality to a higher level and obtain the internationally recognized CDMP Data Quality Specialist certificate. Do you want to become an expert in managing and improving data quality—and distinguish yourself within your organization and in the market?

Sign up today and strengthen your position as a data quality specialist!

The training covers all aspects of the Specialist knowledge area based on the DAMA DMBoK book and is supplemented with various short workshops, assignments, and discussions to ensure optimal preparation for the exam.

1. Introduction
1.1 Business Drivers
1.2 Goals and Principles
1.3 Essential Concepts

2. Activities
2.1 Define a Data Quality Framework
2.2 Define High Quality Data
2.3 Identify Dimensions and Supporting Business Rules
2.4 Perform an Initial Data Quality Assessment
2.5 Identify and Prioritize Potential Improvements
2.6 Define Goals for Data Quality Improvement
2.7 Develop and Deploy Data Quality Operations

3. Tools
3.1 Data Profiling Tools
3.2 Business Rule Templates and Engines
3.3 Data Parsing and Formatting
3.4 Data Transformation and Standardization
3.5 Data Enrichment
3.6 Incident Management System

4. Techniques
4.1 Effective Metrics
4.2 Data Profiling
4.3 Preventive Actions
4.4 Effective Data Quality Metrics
4.5 Root Cause Analysis
4.6 Corrections

5. Implementation Guidelines
5.1 Readiness Assessment / Risk Assessment
5.2 Organization and Cultural Change

6. Data Quality and the other Knowledge Areas
6.1 Data Quality and Data Modeling and Design
6.2 Data Quality and Metadata Management
6.3 Data Quality and Master and Reference Data Management
6.4 Data Quality and Data Integration and Interoperability
6.5 Data Quality and Data Governance

7. Works Cited / Recommended

8. Appendix
8.1 Data Quality ISO Standard
8.2 Further Reading on Data Quality Dimensions
8.3 Statistical Process Control

9. Wrap Up
9.1 Road to Exam
9.2 Tips & Tricks

The training is provided by experienced experts Ferry Eijgel and Philip du Maine, who share both theoretical knowledge and years of practical experience. Through interactive sessions, practical cases, and hands-on exercises, you will be able to directly translate Data Governance concepts to your own work environment.

After completing the training, we will register you for the DAMA International certification exam.
The English-language, open-book* Specialist exam was developed by DAMA International. The exam tests your knowledge of the latest version of the Data Management Body of Knowledge (DAMA-DMBoK2).
You must complete the exam, which consists of 100 multiple-choice questions, within 90 minutes. If English is not your native language, the exam will be extended by 20 minutes.

*DAMA-DMBoK2 Revised Edition book
The DAMA-DMBoK2 Revised Edition book, in conjunction with the training course, forms the basis for preparation for the Specialist exam.