Data Governance & Quality for Better Business Decisions (Udemy.com)

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