Introduction

In today’s fast-paced digital landscape, organizations rely heavily on accurate, consistent, and reliable data to drive strategic decision-making and operational efficiency. Poor data quality can lead to misinformed business strategies, compliance risks, and lost revenue opportunities. Data Quality Governance Practices Training Course is designed to equip participants with the knowledge and practical tools needed to implement robust data governance frameworks. Through this course, attendees will gain insights into data quality standards, regulatory requirements, and best practices for data stewardship, ensuring their organization’s data assets are managed effectively.

Participants will learn how to identify, measure, and monitor data quality across the enterprise, applying frameworks and policies to enhance data integrity and reliability. By integrating real-world case studies, interactive exercises, and governance models, this course empowers professionals to establish a culture of data excellence. Emphasis is placed on the practical application of governance practices, fostering skills that improve organizational decision-making, reduce operational risk, and ensure regulatory compliance. This comprehensive approach positions participants to become effective data governance leaders capable of driving measurable value for their organizations.

Programme Curriculum

Data Quality Governance Practices Training Course

Introduction

Course Objectives

Understand the fundamental principles of data quality and governance.
Implement effective data governance frameworks in organizational settings.
Identify and mitigate risks associated with poor data quality.
Establish data stewardship roles and responsibilities.
Apply data quality measurement techniques and metrics.
Develop data policies and standards aligned with regulatory requirements.
Utilize technology tools for monitoring and improving data quality.
Foster a data-driven culture within the organization.
Conduct data quality assessments and audits.
Integrate governance practices into enterprise data management strategies.
Learn best practices for data correction and enrichment.
Apply case study insights to real-world data governance challenges.
Enhance decision-making through improved data reliability and consistency.

Organizational Benefits

Improved accuracy and reliability of organizational data.
Enhanced compliance with industry regulations and standards.
Reduced operational risks associated with data errors.
Streamlined data management processes and workflows.
Greater efficiency in reporting and analytics.
Empowered staff with data governance skills.
Increased organizational trust in enterprise data.
Standardized data policies across departments.
Proactive risk identification and mitigation strategies.
Optimized business decision-making with high-quality data.

Target Audiences

Data Analysts
Data Governance Professionals
IT Managers
Business Intelligence Specialists
Compliance Officers
Chief Data Officers
Enterprise Architects
Data Quality Specialists

Course Duration: 5 days

Course Modules

Module 1: Introduction to Data Quality Governance

Importance of data quality in business operations
Overview of governance frameworks
Key concepts and terminology
Challenges and risks in data management
Case study: Data governance failure in a global enterprise
Practical exercise: Assessing data quality gaps

Module 2: Data Quality Standards and Policies

Designing organizational data standards
Implementing data policies
Regulatory compliance requirements
Policy enforcement and monitoring
Case study: Implementing standards in a financial institution
Practical exercise: Developing a policy document

Module 3: Data Stewardship and Roles

Defining stewardship responsibilities
Role-based governance implementation
Accountability and ownership models
Best practices for cross-department collaboration
Case study: Role alignment in healthcare data governance
Practical exercise: Role mapping workshop

Module 4: Data Quality Measurement and Metrics

KPI definition and tracking
Quality assessment techniques
Benchmarking data quality performance
Reporting mechanisms for stakeholders
Case study: Measuring data quality in retail operations
Practical exercise: Developing a metrics dashboard

Module 5: Data Correction and Enrichment Techniques

Identifying data errors and anomalies
Methods for data correction
Data enrichment strategies
Tool-based quality improvement approaches
Case study: Data enrichment in customer relationship management
Practical exercise: Applying enrichment tools

Module 6: Risk Management in Data Governance

Identifying potential data risks
Risk mitigation strategies
Monitoring and reporting data risks
Incident management and response
Case study: Risk management in banking data
Practical exercise: Risk assessment simulation

Module 7: Technology for Data Governance

Data governance software tools
Automation in quality monitoring
Integration with existing IT systems
Analytics and reporting capabilities
Case study: Tool adoption in a multinational company
Practical exercise: Tool implementation simulation

Module 8: Case Studies and Best Practices

Real-world governance successes and failures
Lessons learned from multiple industries
Comparative analysis of frameworks
Strategies for sustainable governance
Case study: Cross-industry best practices
Practical exercise: Designing a governance action plan

Training Methodology

Interactive lectures and presentations
Hands-on workshops and exercises
Real-world case study analysis
Group discussions and role-playing
Tool demonstrations and simulations
Continuous assessment through quizzes and activities

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

MS Word Informatica Data Quality Talend Data Fabric and Collibra Data Governance

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000