Data Governance, Analytics and Evidence-Based Decision Making Course

Introduction

Data is a strategic asset in modern governance, enabling institutions to make informed decisions, improve service delivery, and enhance accountability. This course provides a comprehensive understanding of data governance frameworks and how they support effective data management, quality assurance, and ethical use of information in public sector environments.

As governments and organizations generate vast amounts of data, the ability to manage, analyze, and interpret this data is critical. This course equips participants with practical skills in data analytics and evidence-based decision-making, enabling them to transform raw data into actionable insights that drive policy and program effectiveness.

The course explores key concepts in data governance, including data policies, standards, security, privacy, and compliance. Participants will learn how to establish governance structures that ensure data integrity, accessibility, and proper stewardship across institutions and departments.

A strong focus is placed on analytics tools and techniques that support decision-making processes. Participants will gain hands-on knowledge in data analysis, visualization, and reporting, allowing them to communicate insights effectively and support strategic planning and performance management.

The program also addresses emerging technologies such as big data, artificial intelligence, and predictive analytics, which are transforming how data is used in governance. Participants will explore how these innovations can enhance forecasting, risk management, and policy development in dynamic environments.

By the end of this course, participants will be equipped with advanced competencies in data governance, analytics, and evidence-based decision-making. They will be able to design and implement data-driven systems that improve efficiency, transparency, and outcomes in public sector and development programs.

Who Should Attend

• Data analysts and data managers
• Monitoring and evaluation specialists
• Policy makers and planners
• Public sector administrators
• ICT and information management officers
• Research and statistics officers
• Project and program managers
• Development partners and donor agencies
• Business intelligence professionals
• Governance and performance specialists

Duration

10 Days

Course Objectives

• Develop a comprehensive understanding of data governance principles, enabling participants to establish effective data management frameworks that ensure data quality, integrity, and security in organizational systems.
• Strengthen participants’ ability to design and implement data governance policies and standards that support compliance, accountability, and efficient use of data across institutions.
• Equip participants with practical skills in data analytics, including data cleaning, processing, analysis, and interpretation to support evidence-based decision-making processes.
• Enhance knowledge of data visualization techniques that enable participants to present complex data in clear and accessible formats for stakeholders and decision-makers.
• Build capacity to integrate data-driven decision-making into policy development, planning, and performance management processes within organizations.
• Improve understanding of data privacy and security frameworks to ensure ethical handling of sensitive information and compliance with regulatory requirements.
• Strengthen competencies in using modern analytics tools and platforms, including dashboards and reporting systems, to support real-time data analysis and monitoring.
• Develop skills in managing big data and emerging data technologies that enhance predictive analysis, forecasting, and strategic decision-making capabilities.
• Enhance ability to design and implement monitoring systems that use data to track performance, measure impact, and improve organizational outcomes.
• Promote the use of evidence-based approaches in governance and program management to improve efficiency, effectiveness, and accountability.
• Strengthen reporting and communication skills to effectively convey data insights and recommendations to stakeholders and decision-makers.
• Equip participants with leadership capabilities to drive data governance initiatives and foster a data-driven culture within organizations.

Comprehensive Course Outline

Module 1: Introduction to Data Governance

• Concepts and principles of data governance
• Importance in public sector
• Data lifecycle management
• Emerging data trends

Module 2: Data Governance Frameworks

• Governance structures
• Policies and standards
• Roles and responsibilities
• Emerging governance models

Module 3: Data Quality Management

• Data accuracy and consistency
• Data validation techniques
• Data cleansing methods
• Emerging quality tools

Module 4: Data Privacy and Security

• Data protection frameworks
• Privacy regulations
• Cybersecurity principles
• Emerging security tools

Module 5: Data Management Systems

• Data storage solutions
• Database management
• Data integration systems
• Emerging data platforms

Module 6: Introduction to Data Analytics

• Types of data analytics
• Descriptive and diagnostic analytics
• Analytical tools and techniques
• Emerging analytics trends

Module 7: Data Collection and Processing

• Data sources and methods
• Data collection tools
• Data processing techniques
• Emerging collection technologies

Module 8: Data Analysis Techniques

• Statistical analysis methods
• Data modeling techniques
• Trend analysis
• Emerging analysis tools

Module 9: Data Visualization and Reporting

• Visualization tools
• Dashboard development
• Data storytelling
• Emerging visualization platforms

Module 10: Evidence-Based Decision Making

• Decision-making frameworks
• Policy development using data
• Data-driven planning
• Emerging decision tools

Module 11: Big Data and Emerging Technologies

• Big data concepts
• AI in data analytics
• Predictive analytics
• Emerging technologies

Module 12: Monitoring and Evaluation Systems

• Data for M&E
• Performance tracking systems
• Impact measurement
• Emerging M&E tools

Module 13: Digital Data Platforms

• Cloud-based data systems
• Data sharing platforms
• Open data initiatives
• Emerging digital tools

Module 14: Organizational Data Culture

• Building data-driven culture
• Leadership in data governance
• Change management
• Emerging culture models

Module 15: Data Ethics and Accountability

• Ethical data use
• Transparency frameworks
• Accountability systems
• Emerging ethics trends

Module 16: Future of Data Governance and Analytics

• AI-driven analytics
• Real-time data systems
• Global data governance trends
• Future data ecosystems

Training Approach

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Certification

Upon successful completion of the training, participants will be awarded a certificate of completion by Steady Development Center.

Training Venue

The training will be held online. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, tutorials and all required training manuals. Any other personal expenses are catered by the participant.
For registration and further enquiries, contact us on:

• Tel: +254 701 180 097
• Email: training@steadytrainingcenter.com

Tailor-Made Option

This course can be customized to suit the specific needs of your organization and be delivered on-line to any convenient location.

Terms Of Payment

Upon agreement by both parties’ payment should be made to Steady Development Center’s official account at least 3 working days before training begins to facilitate adequate preparation.

Our Upcoming Training Schedule