From Chaos to Control: Data Governance in Practice
From Chaos to Control: Data Governance in Practice
Apply for the trainingTrainers

Zoran Novaković
Line of Business Director, Data Governance
DURATION
1 Day
LEVEL
Beginner
LANGUAGES
Croatian, English
LOCATION
Solvership educational center
Turn your data into a powerhouse – not a problem.
You already know data governance should work. But how do you get from theoretical standards and vague policies … to a governance system that actually delivers? This 1-day, hands-on training is built for leaders, managers, and data professionals who are ready to stop guessing — and start governing with confidence.
1-Day Intensive Training programm
You'll learn how to:
- Apply frameworks & tools today, not just study them.
- Align your governance with business outcomes — trust, compliance, growth.
- Build roles & responsibilities people will actually follow.
- Future-proof your approach for AI, big data, and ethical behavior.
What sets Solvership’s Data Governance Education apart
- Led by experts who work on Data Governance projects daily.
- You won’t leave wondering “now what?” — you'll take home knowledge, frameworks, and models you can use immediately.
- One-day intensity training means you can gain high impact knowledge without having to disappear for a week.
- Beginner level, but robust for any organization. Whether governance is just a project or already part of your DNA — you’ll get value.
Who is it for?
This training is ideal for professionals across technical and business roles who are responsible for or involved in working with data:
- IT professionals, including data engineers and data architects
- Business analysts and data specialists
- Managers and decision-makers leveraging data for strategic planning
- Compliance and data protection officers
- Anyone involved in data collection, management, analysis, or usage within an organization
Syllabus
01
Introduction to Data Governance
- Defining data governance: What it is and why it matters
- Key concepts, benefits, and organizational value
02
Core Components of Data Governance
- Data quality, data security & privacy
- Data architecture and data modeling
- Roles, responsibilities, and organizational structure
03
Frameworks and Methodologies
- Overview of leading governance frameworks
- How to evaluate and implement them in practice
04
Tools and Technologies
- Overview of data catalogs, quality tools, and metadata management solutions
05
Advanced Topics in Data Governance
- AI, machine learning, and big data in governance
- Ethical data use: fairness, bias, and accountability
- Operationalizing Data Mesh and data contracts
06
Assessing Data Governance Maturity
- Why maturity assessments matter
- How to evaluate and improve your organization's governance readiness
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