Oman / readiness guide
Oman Data Governance Readiness
This guide helps leadership, business and technology teams frame a shared view of data governance readiness. It supports internal planning and advisory conversations; it is not a legal interpretation or compliance opinion.
01
Establish the governance model
- Define decision rights for important data, data products and cross-functional issues.
- Assign accountable owners and working-level stewards.
- Set an escalation route that resolves quality, access and definition conflicts.
02
Focus on priority outcomes
- Start with data supporting priority services, reporting and transformation initiatives.
- Agree business definitions and minimum quality expectations.
- Make governance activity visible through a manageable operating cadence.
03
Build trust by design
- Incorporate privacy, security and access considerations early in data initiatives.
- Use proportionate controls for sharing, integration and lifecycle management.
- Maintain clear documentation that teams can apply in day-to-day work.
04
Enable adoption and improvement
- Give owners and stewards practical guidance, tools and support.
- Measure issue resolution, data quality and adoption of agreed practices.
- Use lessons from priority domains to improve the enterprise approach.
Next step
Turn discussion into a capability view.
Use the IDCM assessment to create a structured, directional view across strategy, governance, data management, architecture, AI readiness and business activation.