About
In today's data-driven world, the integrity, accuracy, and reliability of data are critical to effective decision-making, regulatory compliance, and maintaining stakeholder trust. Poor data quality can result in costly errors, inefficiencies, and reputational damage.
This course provides a comprehensive exploration of data quality management, grounded in the DAMA-DMBOK2 framework and enhanced by alignment with internationally recognised quality and security standards.
The course draws on ISO 9001:2015, a globally accepted standard for quality management systems, which emphasises leadership, customer focus, and continual improvement. By applying ISO 9001 principles to data quality, organisations can embed consistent, efficient, and auditable practices into their data management operations.
Additionally, the course incorporates guidance from ISO 8000-1:2022, which defines the key principles of data quality across the full data lifecycle—including creation, collection, maintenance, usage, and sharing. This standard provides a common foundation for assessing and improving the quality of data assets, ensuring they are fit for purpose and meet organisational needs.
Crucially, the course also recognises the interdependence of data quality and information security. It introduces key aspects of ISO/IEC 27001, the international standard for information security management systems (ISMS). As data becomes an increasingly valuable and vulnerable asset, aligning data quality initiatives with ISO/IEC 27001 helps ensure that data is not only accurate and reliable, but also securely managed and protected against risk.
Together, these frameworks equip participants with the tools and insights needed to establish robust, standards-based data quality practices that support both operational excellence and long-term strategic goals.
Where is this course available?
This course is available In-Person in Doha, Qatar, Dubai, Abu Dhabi in UAE & Riyadh in Saudi Arabia, Muscat in Oman and Amman in Jordan as well as being available Online Worldwide.
Why Should You Take This DAMA Data Quality Course?
This specialist training is essential for professionals aiming to:
Implement data quality strategies aligned with international standards
Understand the intersection of data management and quality management systems
Prepare for the CDMP certification, focusing on data quality aspects
Enhance organizational decision-making through reliable data
Integrate data quality practices into existing quality management frameworks
Learning Objectives
Participants will gain the ability to:
Comprehend the fundamentals of data quality and its business implications
Apply the eight dimensions of data quality as defined by DAMA-DMBOK2
Develop and implement data quality strategies aligned with ISO 9001:2015
Utilize tools and techniques for data profiling, cleansing, and monitoring
Integrate data quality management into broader organizational processes
What is ISO 9001?
ISO 9001:2015 is a globally recognized standard for quality management. It helps organizations of all sizes and sectors to improve their performance, meet customer expectations and demonstrate their commitment to quality. Its requirements define how to establish, implement, maintain, and continually improve a quality management system (QMS).
What is ISO 8000-1?
ISO 8000-1:2022 is an international standard that defines the foundational principles of data quality. It outlines the key characteristics required for data to be considered high quality, such as accuracy, completeness, consistency, and relevance. The standard applies across the entire data lifecycle—from creation and collection to storage, maintenance, sharing, and use—and provides a common language and framework for managing data quality in a structured, measurable way. ISO 8000-1:2022 is used globally to help organisations ensure that their data is fit for purpose, supports decision-making, and meets regulatory and operational requirements.
What is ISO/IEC 27001?
In the data management field, ISO/IEC 27001 (Information Security Management Systems) is a widely recognised standard for ensuring information security. Organisations can achieve certification to demonstrate externally that their information security practices meet internationally accepted benchmarks.
Who Is This DQMS Training Course For?
This is a specialist course in Data Management Quality.
It is ideal for professionals in:
Data Governance
Data Quality Management
Business Intelligence
Data Architecture
Data Warehousing
Information Management
Data Analytics
Regulatory Compliance
Data Stewardship
Prerequisites
There are no formal prerequisites for enrolling in this course; however, it is designed as a specialist training programme. Participants will benefit from having a basic understanding of data management concepts and familiarity with ISO/IEC 27001, as the course builds on foundational knowledge in both areas to explore advanced data quality frameworks and standards.
Course Customisation
This course is fully customisable to suit the specific needs, priorities, and maturity level of your organisation. The modules listed below are provided as a sample structure and can be tailored to focus on particular sectors, regulatory environments, data challenges, or internal frameworks.
Whether your organisation is just beginning its data quality journey or looking to align with advanced international standards, the content, case studies, and tools will be adapted to ensure maximum relevance and practical value.
MENA Executive Training is a DAMA International Registered Education Provider for Data Management Fundamentals and Data Quality. Training is delivered by MENA Executive Training; CDMP examinations and certification are provided and awarded by DAMA International.
Modules

Foundations of Data Quality and International Standards
Overview of DAMA (Data Management Association)
The business case for data quality: value, risk, compliance
Overview of DAMA-DMBOK2, ISO 9001, ISO 8000-1, and ISO/IEC 27001
How these frameworks align and reinforce one another
The lifecycle of data quality in modern data-driven organisations

Data Quality in the Context of ISO 9001
Core principles of quality management systems (QMS)
Applying ISO 9001:2015 to data quality policies, roles, and processes
Quality objectives, leadership, and continual improvement in the data context
Designing and auditing a data-focused quality management system

The Eight Dimensions of Data Quality (DAMA-DMBOK2)
Detailed exploration of: Accuracy, Completeness, Consistency, Timeliness, Uniqueness, Integrity, Conformance, Accessibility
Cross-mapping these dimensions to ISO 9001 clauses and ISO 8000 definitions
Practical examples and group diagnostics

Embedding Information Security (ISO/IEC 27001) in Data Quality
Understanding the ISMS and its relationship to data integrity
Risk-based approach to data quality and protection
Data classification, confidentiality, and secure quality controls
Integrating data quality metrics into ISMS performance reviews

Data Quality Assessment and Monitoring
Conducting audits, profiling, and root cause analysis
Defining KPIs and metrics for ongoing quality control
Using ISO-aligned templates and dashboards to report quality status
Planning quality reviews within a continuous improvement loop

Data Quality Improvement Strategies
Designing improvement programmes using ISO 9001’s PDCA cycle
Standardisation, cleansing, and enrichment approaches
Governance structures for sustained quality change
Case scenarios and maturity assessments

Tools and Technology for Data Quality
Overview of DQ tools: Informatica, Talend, Trillium, Collibra
AI-powered automation for profiling, monitoring, and validation
Integration with ISMS, data warehouses, and governance platforms

Data Governance, Policy, and Stewardship
Role of data quality within a broader data governance framework
Stewardship roles and responsibilities
Policy development aligned with DAMA and ISO standards
Cross-functional alignment: data, IT, compliance, and business units

Case Studies, Implementation, and Certification Readiness
Sector-specific case studies: finance, government, healthcare, energy
Successful implementation of ISO-aligned data quality programmes
Preparing for the CDMP Data Quality exam
Wrap-up: key takeaways, resources, and future trends

Understanding ISO 8000-1:2022 – Principles of Data Quality
Scope and definitions of ISO 8000-1
The data lifecycle: creation, collection, maintenance, use, and sharing
Ensuring data is portable, exchangeable, and semantically clear
How ISO 8000 complements DAMA-DMBOK2 in practical settings


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Exam Details
There is no exam for this course.
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