Data Quality Management and Improvement

Course Category : Data Management

A professional framework for establishing reliable data quality through measurement, governance, and systematic error analysis to strengthen reporting accuracy, operational efficiency, and organisational decision-making.
Duration: 5 Days
Level: Intermediate to Advanced

Introduction

Data quality has become a fundamental determinant of an organisation’s ability to transform information assets into accurate decisions and measurable outcomes. Large volumes of data create limited institutional value unless they are accurate, complete, consistent, timely, and reliable.
This course provides an integrated approach to data quality management, covering quality dimensions, standards, rules, issue assessment, root-cause analysis, measurement indicators, and continuous improvement. It also examines the relationship between data quality, governance, data ownership, and organisational controls to support sustainable quality management practices..

Targeted Audience

Data Management Managers and Professionals
Data Quality and Data Governance Professionals
Data Analysts and Business Analysts
Chief Data Office and Data Management Teams
Business Intelligence and Reporting Professionals
Database and Information Management Professionals
Digital Transformation and Organisational Excellence Teams
Risk and Compliance Professionals involved in data management

Targeted Skills

Data Quality Assessment Using Defined Dimensions and Standards
Data Quality Rules and Control Design
Data Defect Identification and Classification
Root-Cause Analysis for Data Quality Issues
Data Quality Metrics and KPI Development
Data Ownership, Stewardship, and Accountability
Remediation and Continuous Improvement Planning
Integration of Data Quality into Governance Frameworks

Expected Outcomes

Explain core data quality concepts, dimensions, and their relationship to organisational value.
Assess data quality using measurable standards and indicators.
Identify sources of data defects and analyse their root causes and impacts.
Develop appropriate data quality validation rules and controls.
Design a structured framework for issue management, prioritisation, and accountability.
Develop performance indicators and measurement dashboards for data quality monitoring.
Align quality management with data governance, ownership, and stewardship.
Establish a sustainable methodology for continuous data quality improvement.

Training Topics Index

Data quality concepts and organisational significance
Quality dimensions accuracy, completeness, consistency, timeliness, validity, and uniqueness
Data lifecycle and its impact on quality levels
Cost and organisational impact of poor-quality data
Core principles for establishing an enterprise data quality framework

Defining data quality requirements and standards
Designing validation rules and quality controls
Identifying critical data and assessment priorities
Developing data quality metrics and performance indicators
Interpreting measurement results and establishing acceptance and escalation thresholds

Classification of data defects and their sources
Analysis of recurring issue patterns and anomalies
Root-cause analysis methodologies for quality problems
Assessing the impact of data issues on processes, reporting, and decisions
Prioritising remediation according to risk and organisational impact

Relationship between data quality and data governance
Roles of data owners, data stewards, and data consumers
Data quality policies, standards, and procedures
Quality issue lifecycle, escalation, and monitoring
Establishing accountability across business and technology functions

Designing data remediation and improvement plans
Preventive quality controls versus corrective approaches
Ongoing monitoring and quality trend analysis
Data quality reporting and management dashboards
Developing a roadmap for continuous improvement and quality maturity

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

Data Quality Management and Improvement