Format: Live instructor-led online training via Zoom / Microsoft Teams

Data Governance and Data Quality Training Course

Course Overview

Data Governance and Data Quality have become essential pillars of modern organizational success in the era of digital transformation, big data, business intelligence, analytics, artificial intelligence, and evidence-based decision-making. Organizations increasingly rely on accurate, consistent, secure, and reliable data to support strategic planning, operational excellence, regulatory compliance, customer engagement, and innovation. This comprehensive training course equips participants with the knowledge, frameworks, methodologies, and practical tools required to establish effective data governance structures, improve data quality management, and maximize the value of organizational data assets.

Poor data quality can lead to inaccurate reporting, ineffective decision-making, operational inefficiencies, regulatory violations, financial losses, and reputational damage. Effective data governance provides a structured approach to managing data ownership, accountability, stewardship, security, privacy, accessibility, and quality throughout the data lifecycle. This course enables participants to understand how data governance frameworks, policies, standards, and procedures can improve data integrity, consistency, availability, and trustworthiness across the organization.

The training incorporates globally recognized best practices in data governance, master data management, metadata management, data stewardship, data quality assessment, data architecture, data security, and regulatory compliance. Participants will learn how to develop governance frameworks, establish data ownership responsibilities, implement data quality controls, monitor data quality metrics, manage data risks, and align data management initiatives with organizational goals. Practical exercises and real-world case studies provide hands-on experience in addressing common data quality challenges and governance issues.

By the end of this course, participants will possess the skills required to establish sustainable data governance programs, improve data quality processes, strengthen compliance, support business intelligence initiatives, and promote a data-driven culture. The course combines strategic concepts with practical implementation approaches, ensuring participants can effectively manage and govern data assets to drive organizational performance, innovation, and competitive advantage.

Course Objectives

Upon successful completion of this course, participants will be able to:

1.     Understand the principles, frameworks, and benefits of data governance and data quality management.

2.     Develop and implement organizational data governance strategies and policies.

3.     Establish data ownership, stewardship, and accountability structures.

4.     Assess, measure, and improve data quality across business functions.

5.     Implement data quality standards, controls, and monitoring mechanisms.

6.     Manage metadata, master data, and reference data effectively.

7.     Address data privacy, security, and regulatory compliance requirements.

8.     Utilize data governance frameworks to support business intelligence and analytics initiatives.

9.     Develop data quality improvement plans and governance roadmaps.

10.  Promote a culture of data-driven decision-making and continuous improvement.

Organizational Benefits

Organizations participating in this training will benefit from:

1.     Improved accuracy, consistency, and reliability of organizational data.

2.     Enhanced decision-making through high-quality and trusted information.

3.     Strengthened regulatory compliance and data protection practices.

4.     Improved operational efficiency and reduced data-related errors.

5.     Better integration and management of enterprise data assets.

6.     Enhanced business intelligence, analytics, and reporting capabilities.

7.     Increased accountability and ownership of data resources.

8.     Reduced risks associated with poor data quality and governance failures.

9.     Improved customer satisfaction through accurate information management.

10.  Stronger foundation for digital transformation and innovation initiatives.

Target Participants

This course is suitable for:

·       Data Governance Managers

·       Data Analysts and Business Analysts

·       Data Stewards and Data Custodians

·       Information Management Officers

·       Business Intelligence Professionals

·       Database Administrators

·       IT Managers and Information Systems Managers

·       Compliance and Risk Management Officers

·       Monitoring and Evaluation Specialists

·       Records and Information Management Professionals

·       Data Quality Specialists

·       Project Managers responsible for data initiatives

·       Digital Transformation Leaders

·       Professionals responsible for managing organizational data assets

Course Outline

Module 1: Foundations of Data Governance and Data Quality

·       Introduction to data governance concepts

·       Understanding data quality dimensions

·       Importance of data as a strategic asset

·       Data governance principles and objectives

·       Data lifecycle management overview

·       Case Study: Organizational challenges caused by poor data quality

Module 2: Data Governance Frameworks and Organizational Structures

·       Developing data governance frameworks

·       Governance operating models

·       Roles and responsibilities in data governance

·       Data ownership and stewardship

·       Governance committees and decision-making structures

·       Case Study: Establishing a data governance program in a large organization

Module 3: Data Quality Management and Assessment

·       Data quality dimensions and standards

·       Data profiling techniques

·       Data quality assessment methodologies

·       Identifying data quality issues

·       Root cause analysis for data defects

·       Case Study: Conducting a data quality assessment project

Module 4: Metadata, Master Data, and Data Standards Management

·       Introduction to metadata management

·       Master data management principles

·       Data standards and business rules

·       Reference data management

·       Data cataloging and documentation

·       Case Study: Standardizing enterprise-wide customer data

Module 5: Data Security, Privacy, and Regulatory Compliance

·       Data protection and privacy principles

·       Data security governance

·       Regulatory and compliance requirements

·       Managing sensitive and confidential data

·       Risk management in data governance

·       Case Study: Implementing data privacy controls across departments

Module 6: Data Quality Improvement and Governance Implementation

·       Developing data quality improvement plans

·       Data quality monitoring and reporting

·       Key performance indicators for data governance

·       Change management and stakeholder engagement

·       Continuous improvement strategies

·       Case Study: Implementing a successful data governance and quality improvement initiative

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.