Data Governance & Quality Management Training Course: Secure & Quality Data

Introduction

Fortify your data assets with our Data Governance and Quality Management Training Course. This program is designed to equip you with the essential skills to implement data quality checks and governance policies, ensuring your data is accurate, reliable, and compliant. In today's data-driven world, mastering data governance and quality management is crucial for organizations seeking to build trust and derive meaningful insights. Our data governance training course offers hands-on experience and expert guidance, empowering you to establish robust data policies and quality standards.

This secure & quality data training delves into the core concepts of data governance and quality management, covering topics such as data profiling, data cleansing, and regulatory compliance. You'll gain expertise in using industry-standard tools and techniques to implement data quality checks and governance policies, meeting the demands of modern data-driven organizations. Whether you're a data governance professional, data quality analyst, or compliance officer, this Data Governance & Quality Management course will empower you to build and maintain secure and high-quality data environments.

Target Audience:

• Data Governance Professionals
• Data Quality Analysts
• Compliance Officers
• Data Managers
• Database Administrators
• Business Analysts
• Anyone needing data governance and quality management skills

Course Objectives:

• Understand the fundamentals of data governance and quality management.
• Master data profiling and data quality assessment techniques.
• Utilize data cleansing and data standardization methods.
• Implement data governance policies and procedures.
• Design and build data quality monitoring and reporting systems.
• Optimize data quality for business intelligence and analytics.
• Troubleshoot and address common data quality issues.
• Implement data security and access control measures.
• Integrate data governance and quality management with real-world applications.
• Understand how to handle data privacy and ensure data integrity.
• Explore advanced data governance and quality management techniques (e.g., data lineage, metadata management).
• Apply real world use cases for data governance and quality management.
• Leverage data governance and quality management tools for efficient implementation.

Duration

10 Days

Course content

Module 1: Introduction to Data Governance and Quality Management

• Fundamentals of data governance and quality management.
• Overview of data profiling, data cleansing, and governance policies.
• Setting up a data governance and quality management environment.
• Introduction to data governance and quality management tools.
• Best practices for data governance and quality.

Module 2: Data Profiling and Quality Assessment

• Mastering data profiling and data quality assessment techniques.
• Utilizing statistical analysis and data visualization.
• Designing and building data quality metrics.
• Optimizing data profiling for data integrity.
• Best practices for data profiling.

Module 3: Data Cleansing and Standardization

• Utilizing data cleansing and data standardization methods.
• Implementing data normalization and deduplication.
• Designing and building data cleansing workflows.
• Optimizing data standardization for consistency.
• Best practices for data cleansing.

Module 4: Data Governance Policies and Procedures

• Implementing data governance policies and procedures.
• Utilizing data governance frameworks (DAMA-DMBOK, COBIT).
• Designing and building data governance roles and responsibilities.
• Optimizing policies for effective data management.
• Best practices for data governance policies.

Module 5: Data Quality Monitoring and Reporting

• Designing and building data quality monitoring and reporting systems.
• Utilizing data quality dashboards and alerts.
• Implementing data quality audits and reviews.
• Optimizing monitoring for proactive data quality management.
• Best practices for monitoring.

Module 6: Data Quality for Business Intelligence

• Optimizing data quality for business intelligence and analytics.
• Utilizing data quality metrics for reporting and analysis.
• Implementing data quality improvements for decision-making.
• Designing scalable data quality solutions.
• Best practices for business intelligence.

Module 7: Troubleshooting Data Quality Issues

• Debugging common data quality issues.
• Analyzing data quality errors and inconsistencies.
• Utilizing troubleshooting techniques for problem resolution.
• Resolving common data quality challenges.
• Best practices for troubleshooting.

Module 8: Data Security and Access Control

• Implementing data security and access control measures.
• Utilizing data encryption and masking techniques.
• Designing and building access control policies.
• Optimizing security for data protection.
• Best practices for data security.

Module 9: Integration with Real-World Applications

• Integrating data governance and quality management with real-world applications.
• Utilizing data quality tools and APIs.
• Implementing data governance for specific business domains.
• Optimizing integration for data-driven insights.
• Best practices for integration.

Module 10: Data Privacy and Integrity

• Understanding how to handle data privacy and ensure data integrity.
• Utilizing data anonymization and pseudonymization techniques.
• Designing and building data integrity checks.
• Optimizing data handling for privacy and accuracy.
• Best practices for data privacy.

Module 11: Advanced Data Governance and Quality Techniques

• Exploring advanced data governance and quality management techniques (data lineage, metadata management).
• Utilizing data lineage for data traceability.
• Implementing metadata management for data discovery.
• Designing and building advanced data governance solutions.
• Optimizing advanced techniques for specific applications.
• Best practices for advanced techniques.

Module 12: Real-World Use Cases

• Implementing data governance for financial services compliance.
• Utilizing data quality management for healthcare data.
• Implementing data governance for e-commerce customer data.
• Utilizing data quality for supply chain optimization.
• Best practices for real-world applications.

Module 13: Data Governance and Quality Tools Implementation

• Utilizing data governance and quality management tools (Informatica, Collibra, Talend).
• Implementing data quality workflows with tools.
• Designing and building data governance dashboards.
• Optimizing tool usage for efficient implementation.
• Best practices for tool implementation.

Module 14: Data Quality Performance Measurement

• Implementing data quality performance measurement.
• Utilizing data quality KPIs and metrics.
• Designing and building performance dashboards.
• Optimizing measurement for data quality effectiveness.
• Best practices for performance measurement.

Module 15: Future Trends in Data Governance and Quality

• Emerging trends in data governance and quality management.
• Utilizing AI for data quality automation.
• Implementing data governance in cloud-native environments.
• Best practices for future applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.