Most organisations don't struggle to understand the importance of data governance.
They know trusted data is essential for analytics, compliance, security and AI. They've defined policies, assigned ownership and invested in governance technologies. Yet many still struggle to achieve lasting adoption across the business.
According to Gartner®, fewer than half of data stewardship initiatives are considered mostly or completely successful. The challenge isn't a lack of governance ambition — it's the gap between governance strategy and operational reality.
A common misconception is that governance challenges can be solved by deploying new tools, creating governance teams or assigning stewardship responsibilities.
In reality, governance is fundamentally a people challenge.
Employees are often given governance roles without clear incentives, accountability or understanding of what success looks like. Governance is introduced as additional work rather than an extension of activities already taking place across the organisation. The result is predictable: low engagement, inconsistent ownership and limited business adoption.
As organisations increase their investment in AI, this challenge becomes even more significant. AI depends on trusted, governed and well-understood data. Without the right governance foundations, organisations risk slowing AI adoption and limiting the value they can achieve from their investments.
Gartner's research highlights four practical actions that help organisations move governance from theory into practice:
Collectively, these actions are designed to address a simple reality: governance succeeds when people understand it, value it and take ownership of it.
This is where many organisations face their biggest challenge.
Even when governance policies are defined, business leaders often lack visibility into:
Without this visibility, governance remains a strategic objective rather than an operational capability.
Technology alone cannot create accountability, but it can provide the visibility and control needed to support it.
By combining Microsoft Purview, Microsoft Entra and ongoing governance expertise, organisations can transform governance from a policy document into an operational framework.
Microsoft Purview helps organisations understand and govern their data estate through capabilities such as data discovery, classification, ownership and lineage. Microsoft Entra strengthens the identity and access foundations required to ensure the right people have the right level of access to data and information.
Together, they provide the building blocks for governance at scale.
Before implementing new governance structures, organisations need to understand where they are today.
A governance assessment can help identify:
This aligns closely with Gartner's recommendation to start with the status quo rather than introducing governance as a completely new responsibility. Understanding what already exists creates a more practical foundation for long-term success. [ovintiv.com]
The organisations seeing the greatest success with AI are not necessarily those with the most advanced technologies. They are the ones that have established clear ownership, accountability and trust in their data.
Governance is no longer simply a compliance requirement. It is becoming a strategic business capability that underpins every data-driven initiative.
The challenge isn't creating a governance strategy. It's operationalising one.
And that starts with understanding your current state, empowering the right people and putting the frameworks in place that turn governance principles into everyday business practice.
Based on Gartner® research: 4 Actions to Establish Effective Data Governance Roles, by Sarah Turkaly, 2 February 2026.