Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 58 Minute(s)
Language
English
Taught by
Dr. Jarkko Moilanen
Rating
3 views
Course Overview
Lightweight governance that makes data products trusted, scalable, and business-ready
Are you tired of data governance that feels like red tape instead of real impact?
Most organizations still treat governance as a compliance checklist—something to slow down innovation, not accelerate it. Meanwhile, business leaders keep asking: “Where’s the ROI from all this data?”
This course introduces Minimum Lovable Governance (MLG), a modern approach designed specifically for data products.
Instead of endless rules and policies, you’ll learn how to embed just enough governance to deliver trust, quality, and business value—without killing agility.
Also contains a practical LAB in which you build AI-assisted Minimum Lovable Governance with Claude. Link to source code provided.
What you’ll discover inside:
How to shift from managing data as an asset to delivering data as a product.
Practical frameworks like the Open Data Product Specification (ODPS) that bring governance to life.
How to automate SLAs, data quality, and compliance checks as code.
Clear methods to measure business outcomes, not just technical outputs.
Tools and templates you can apply immediately in your own organization.
Terraforming Data Product Governance book
Why this matters:
Drive business value: Turn raw data into products that solve real problems.
Boost your career: Master a future-ready skill set in high demand worldwide.
Make governance lovable: Learn to balance control with speed, trust with innovation.
Whether you’re a data professional, manager, or business leader, this course gives you a proven blueprint to move beyond old-school data management and become a champion of data product value creation.
Course Content
- 6 section(s)
- 29 lecture(s)
- Section 1 Introduction
- Section 2 The Minimum Lovable Governance Model
- Section 3 Case: Business Objective and 5 Data Products
- Section 4 Integrating MLG & ODPS with Modern Data Architectures
- Section 5 LAB - AI-assisted DIY Minimum Lovable Governance with Claude and Github
- Section 6 Congratulations! Next steps
What You’ll Learn
- Why legacy data governance models don’t work for data products., How to apply Minimum Lovable Governance (MLG) in practice., Simple ways to link business goals with SLAs and data quality., How to use agreements and standards to build trust., Lightweight methods to scale governance across teams.
Skills covered in this course
Reviews
-
GGerardo Castro
Great Course! Insightful, Practical. Value-Centered
-
RRawad Alzghayar
Really enjoyed this course. As a Product Tech Lead, it completely changed how I look at data governance — not as a blocker, but as something that can actually drive agility and business value. The MLG approach is practical, lightweight, and focused on real outcomes. I came away with clear ideas and tools I can apply right away. Highly recommend it to anyone working with data products.
-
VVinod Ganesan
The concepts have been explained well and tying it to a practical example where these concepts were applied to an existing scenario to provide the cost benefit analysis, actually helps to understand the concepts in practice. Finally it neatly ties into how to enhance existing MDA architectures to make them outcome driven.
-
ZZaher Abou Shakra
This course completely changed the way I look at data governance. Instead of treating it as a set of heavy rules and compliance checklists, it introduces Minimum Lovable Governance (MLG), a lightweight, practical, and business-focused approach!!!
