
Join expert guidance to master data quality management and governance, drive organizational excellence, and transform your data strategies at the Institute of Management, Technology and Finance.
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Explore how data governance establishes policies, procedures, accountability, and stewardship to ensure data accuracy, privacy, security, and regulatory compliance for informed decision making.
Explore three data governance frameworks—Dama De Boeck, Cobit, and ISO 38,500—and learn to compare strengths, select the best fit, and implement a governance program aligned with business goals.
Learn essential data management fundamentals, including governance, architecture, modeling, storage, security, and integration to drive compliant, high-quality data for decision making.
Develop and implement a practical data governance and management plan, appoint a CDO, define scope, establish a governance office, and enforce data quality, security, and compliance policies.
Apply data governance principles and frameworks in your organization. Assume roles like data steward or custodian and use data quality tools to ensure data accuracy.
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Set expectations for 2026 by showing how work is evaluated, trusted, and rewarded across roles. Learn a tool-agnostic approach to understanding operations, judgment, accountability, and AI impacts across roles.
Frame problems before solving, negotiating solutions across data science, DevOps, product, and management. Act under uncertainty, and explain your work clearly under time pressure to build trust and faster adoption.
In 2026, avoid automation bias by treating AI outputs as advice, validating high-stakes decisions with human judgment, and explaining outputs to stakeholders.
Beyond 2026, cultivate durable capabilities: critical thinking, domain expertise, ethical judgment, communication, and learning agility, to remain valuable, credible, and trusted as tools evolve.
Join the interactive part by networking, sharing feedback, and asking questions via email or the alumni telegram channel to gain practical frameworks, best practices, and career support for real-world work.
Develop real-life knowledge of business development and apply practical frameworks for success in strategy, finance, marketing, sales, client engagement, and product development.
Poor data is one of the most expensive hidden problems in modern organisations.
It leads to:
Wrong decisions
Compliance risks (e.g., GDPR)
Inefficient operations
Lost revenue opportunities
Yet most professionals are never taught how to properly manage, govern, and improve data.
This course is designed to fix that.
You will learn how to build reliable data systems, improve data quality, and implement governance practices that directly support better decision-making across your organisation.
Instead of focusing only on theory, this course shows you how data governance actually works in real business environments — connecting data, people, processes, and decisions.
What makes this course different?
This is not just a technical course.
It is a business-focused course that helps you:
Align data with decision-making
Reduce operational and compliance risks
Improve collaboration between business and IT
Build a strong foundation for analytics and AI
You will move beyond definitions and frameworks into practical understanding you can apply immediately.
What you will cover
You will start with the foundations of data governance, data quality, and data management — understanding how they work together.
Then, you will learn how to:
Define ownership, roles, and responsibilities for data
Identify and fix data quality issues
Implement governance frameworks in real organisations
Use data governance to support business decisions
Reduce risks and ensure compliance
You will also explore how data governance is evolving in a world shaped by AI and automation — and what that means for your role.
Why this matters now
In 2026 and beyond, professionals are not evaluated by how much data they have — but by how well they use, trust, and manage it.
Organisations that succeed are those that:
Trust their data
Make faster, better decisions
Reduce risks proactively
This course helps you become part of that shift.
About the Instructor
Dr. Alex Amoroso is a Senior UX & Product Researcher and Head of School at MTF Institute, with over 10 years of experience helping organisations turn data into better decisions.
Her work combines:
Academic rigor
Real-world case studies
Practical frameworks
Her focus is simple:
helping professionals move from data → insights → decisions → impact
About MTF Institute
MTF Institute is a global educational and research organisation headquartered in Lisbon, Portugal, with over 1 million students across 216 countries.
MTF collaborates with leading organisations including IBM, Intel, and Microsoft, and focuses on business, technology, and data-driven transformation.
Exclusive: Career Accelerator Edition
By enrolling, you also gain:
Dual Certification
Receive both Udemy and Official MTF Institute certification with verification.
Portfolio & LinkedIn Visibility
Learn how to showcase your work and increase your professional visibility.
Global Professional Network
Join a worldwide community of professionals in business and technology.
Start building the skills that make data reliable, decisions stronger, and your role more valuable.
What You Will Learn
Design and implement a data governance framework in your organisation
Improve data quality and reliability for better decision-making
Define roles, ownership, and accountability for data
Identify and fix common data quality issues
Reduce risk and compliance exposure (e.g., GDPR)
Align business and IT teams around data strategy
Use governance to support analytics and AI initiatives
Apply data governance principles in real-world business contexts
Intended Learners
Business professionals and managers responsible for data-driven decisions
Data analysts and data professionals who want to improve data quality
IT and data teams involved in governance, compliance, and management
Product, operations, and finance professionals working with data
Anyone who wants to make data more reliable, usable, and valuable in their organisation
Requirements
No prior experience required
Basic understanding of business or data concepts is helpful
A willingness to think critically about how data is used in organisations