Build a strong foundation in the principles, practices, and tools behind modern data management. In this practical, hands-on course, you’ll learn how to structure, protect, and optimize data to support smarter decisions across your organization. Based on the DAMA framework, this training prepares you to understand — and contribute to — high-impact data strategies, no matter your role.
Introduction to Data Management
Data ManagementData Management
Introduction to Data Management
In today’s digital world, data is no longer just a byproduct of business. It’s the foundation of nearly every decision, system, and strategy. Organizations use data to guide public services, streamline supply chains, manage infrastructure, and enhance customer experiences. As a result, it has become one of their most valuable assets.
However, as data increases in volume and complexity, managing it becomes more difficult. Simply collecting information is not enough. The real challenge is managing it — making it consistent, secure, accessible, and useful across teams, tools, and systems.
his is where data management plays a critical role. It introduces structure, process, and accountability to handle complexity. In doing so, it helps make data easier to trust, share, and use. When done well, data management improves planning, speeds up decisions, and supports better outcomes at every level of the organization.
Additionally, it helps reduce duplication, ensures regulatory compliance, and builds confidence in data-driven decisions. From local governments using systems like BAG, BGT, and WOZ to private organizations seeking efficiency, strong data management is now a strategic necessity.
Importantly, it’s not just an IT concern. It’s about aligning people, processes, and technology to extract more value from existing data.
At Geo-ICT, we believe understanding data is essential for everyone — not just data specialists. Whether you manage projects, build systems, or support operations, learning the basics of data management will help you make better, more informed decisions
Looking to continue your growth?
This course also provides a stepping stone to the DAMA framework and CDMP certification — a valuable path for advancing your data career.
What you will learn
This course is structured around the core components of the DAMA framework. It offers a practical introduction to key data disciplines.
To start, you’ll explore data governance. You’ll learn about roles, responsibilities, and policies that help build trust and accountability. Then, you’ll move into data architecture and modeling, gaining the skills to structure information for easy storage and access.
Next, the course covers data quality. You’ll discover how to measure, improve, and maintain accurate datasets. We’ll also focus on data integration and interoperability, which are essential for connecting systems effectively.
After that, you’ll explore data storage and security. You’ll learn how to protect sensitive information using proven techniques applied in real-world contexts.
Throughout the course, you’ll engage in use cases and group discussions. These help you apply concepts in practical situations, so your organization can use data more effectively and avoid costly mistakes.
By the end, you’ll be equipped to support smarter data practices — no matter your role or experience level.
Why choose our data management course?
At Geo-ICT, we believe data management should be practical, approachable, and directly relevant to your work — not just theoretical. This course combines expert-led training with hands-on sessions, so you can apply what you learn right away.
Here’s what makes it stand out:
- Expert instruction – Learn from professionals with deep, real-world experience in data strategy and governance
- Interactive learning – Use case discussions and group exercises bring the material to life
- Certification-ready – Get prepared for the CDMP exam, a globally recognized industry standard
- Flexible entry point – Whether you’re new to data or refining your skills, the course adapts to your level and goals
By joining this course, you’re not just learning how to manage data — you’re developing the mindset and skill set to create lasting value through better decisions.
Course structure
Day 1
The course begins with short presentations and interactive discussions to build a shared understanding of the value and impact of effective data practices. Real-world examples make the principles clear and relevant. You’ll explore how data influences operations, decision-making, and innovation — especially in an environment increasingly shaped by AI and automation.
Themes include:
- The role of leadership, operations, and data professionals in data strategy
- The risks of poor data quality and the benefits of strong governance
- The core elements of the DAMA DMBOK2 framework
- Cross-team collaboration to align data with organizational goals
By the end of the day, you’ll have a clear, practical understanding of how to support and lead data-driven change within your organization.
Learning Outcomes
- Understand the strategic value of data and how it supports agility and innovation
- Learn the core principles of data management, including governance, quality, and security
- Recognize how collaboration across departments strengthens data strategy
- Explore how AI and analytics can uncover insights, reduce risks, and support better decisions
More Information?
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
Frequently Asked Questions about Introduction Data Management
This course provides a solid foundation in various information disciplines of data management, according to the DAMA DMBOK2 standard.
This course extensively covers all disciplines of data management, with a focus on practical application and technical skills.
Yes, the course is ideal for educational institutions that want to equip their students with practical knowledge in data management.
In the Data Management course, geographical data is addressed by teaching participants how to handle geospatial data effectively. This includes the integration, storage, and analysis of geographical information within a structured data management framework. Participants will learn how to manage geographic datasets, such as those used in GIS (Geographic Information Systems), ensuring data quality, accuracy, and security, while also exploring practical applications of geospatial data in decision-making processes.