Government Entities
The published NDMO Standards state that government entities must implement the Standards, with compliance measured to monitor progress.
NDMO Data Management & Governance
NDMO Compliance Services in Saudi Arabia
SecureLink provides NDMO compliance services in Saudi Arabia to help organizations understand applicable data-management requirements, assess current governance practices, identify gaps, and build a practical roadmap for compliance readiness. Our approach connects governance, ownership, policies, data-management processes, evidence, and remediation so NDMO requirements can be managed as an ongoing programme rather than a one-time exercise.
NDMO Standards
What Is NDMO Compliance in Saudi Arabia?
The National Data Management and Personal Data Protection Standards provide a structured set of requirements for managing and protecting data across government entities. The published Standards cover 15 domains, 77 controls, and 191 specifications, with implementation priorities organized as P1, P2 and P3.
For a business or government organization, NDMO readiness is broader than a single data-classification activity. It can involve governance structures, data ownership, metadata, quality, architecture, sharing, lifecycle management, protection, reporting, and evidence of how data-management practices operate in the organization.
SecureLink focuses this page on the NDMO compliance programme itself. Detailed workstreams such as government data governance, data classification, and data discovery are covered through dedicated service pages so each service can target its own search intent and scope.
View the official NDMO Standards publication →Scope & applicability
Who Should Assess Their NDMO Requirements?
Applicability should be established from the organization’s role, data responsibilities, regulatory position, and the government-data or data-management obligations that govern the engagement.
Organizations Handling Government Data
Organizations that handle government data should assess the Standards alongside the contractual, regulatory, and data-owner requirements applicable to their role.
Entities With Applicable NDMO Obligations
Organizations with applicable NDMO, government-data, contractual, regulatory, or data-owner obligations should confirm their scope before implementation.
Why the framework matters
Why NDMO Compliance Matters
NDMO provides a structured framework for managing data governance, quality, architecture, sharing, value realization, protection, and related evidence across the data lifecycle.
Clear Accountability
Connect data-management requirements with accountable roles, decisions, policies, and evidence.
Consistent Data Management
Use a common framework to organize practices across governance, quality, operations, architecture, and sharing.
Readiness Evidence
Build records and supporting evidence that demonstrate how applicable requirements are implemented and maintained.
Framework structure
The 15 NDMO Data Management Domains
The Standards span the data lifecycle from governance and architecture through operations, sharing, value realization, protection, and security. Use the official publication to confirm the detailed controls and specifications for each domain.
01
Data Governance
Defines governance authority, roles, accountability, decision rights, and oversight for managing data as an organizational asset.
02
Data Catalog and Metadata
Supports consistent metadata and catalog practices so data assets can be understood, located, and managed with clear context.
03
Data Quality
Establishes practices for defining, measuring, monitoring, and improving data quality against business requirements.
04
Data Operations
Covers operational practices for managing data through routine processes, responsibilities, controls, and service activities.
05
Document and Content Management
Addresses governance of documents and content, including controlled handling, organization, access, and lifecycle practices.
06
Data Architecture and Modelling
Supports structured data architecture and modelling practices that align data structures with organizational and business needs.
07
Reference and Master Data Management
Supports consistent management of core reference and master data so important business information remains controlled and reusable.
08
Business Intelligence and Analytics
Provides governance considerations for using organizational data for reporting, analysis, and decision support.
09
Data Sharing and Interoperability
Addresses controlled data sharing and interoperability, including responsibilities, exchange processes, and consistent integration practices.
10
Data Value Realization
Focuses on identifying and managing opportunities to create measurable value from data through defined use cases and plans.
11
Open Data
Addresses governance of data intended for publication and reuse in line with applicable open-data requirements and controls.
12
Freedom of Information
Supports processes for managing information-access requests and related data and document handling responsibilities.
13
Data Classification
Defines how data is classified according to applicable sensitivity and handling requirements within the broader data-management programme.
14
Personal Data Protection
Covers personal-data protection requirements within the NDMO framework and should be coordinated with applicable PDPL obligations.
15
Data Security and Protection
Security and protection requirements for this domain are addressed by the National Cybersecurity Authority (NCA) under the published Standards.
Implementation priorities and roadmap: the published Standards include 77 controls and 191 specifications. P1 specifications form the foundation, followed by P2 and P3 requirements in a phased three-year implementation plan. The official Standards specify Year 1 for P1, Year 2 for P1 + P2, and Year 3 for P1 + P2 + P3. Detailed control wording, dependencies, and current expectations should always be confirmed against the latest applicable NDMO publication and guidance.
NDMO consulting & compliance
Our NDMO Compliance Services
SecureLink can support the programme from applicability and assessment through governance alignment, evidence preparation, remediation planning, and ongoing readiness.
01
NDMO Applicability and Scope Review
Practical support aligned with the applicable NDMO requirements, organizational scope, evidence needs, ownership, and implementation priorities.
02
NDMO Gap Assessment
Practical support aligned with the applicable NDMO requirements, organizational scope, evidence needs, ownership, and implementation priorities.
03
Data Governance Framework Alignment
Align governance roles, ownership, decision rights, policies, accountability, and reporting with the applicable NDMO requirements.
04
Data Management Policy and Standards Support
Review or develop data-management policies, standards, procedures, registers, and supporting documentation.
05
Data Quality and Metadata Governance
Assess how quality and metadata practices support the wider NDMO programme and connect them to accountable owners.
06
Data Ownership and Accountability
Clarify data-owner, steward, management, and supporting responsibilities so governance decisions have clear accountability.
07
Data Sharing and Lifecycle Governance
Review data-sharing, lifecycle, retention, movement, and operational governance practices within the applicable scope.
08
Evidence and Compliance Readiness
Organize records, policies, reports, governance evidence, and supporting documentation for compliance readiness.
09
NDMO Remediation Roadmap
Prioritize findings by requirement, risk, ownership, dependency, effort, and implementation sequence.
10
Ongoing Governance and Compliance Support
Support recurring reviews, governance updates, remediation tracking, and evidence maintenance as the programme evolves.
Delivery approach
Our NDMO Compliance Approach
A practical sequence helps organizations move from uncertainty to a defined compliance programme with clear ownership and usable evidence.
01
Scope & Applicability
Confirm the organization’s role, data responsibilities, obligations, and assessment boundary.
02
Current-State Review
Review governance, policies, processes, ownership, data practices, records, and available evidence.
03
Gap Assessment
Map the applicable requirements and identify missing, inconsistent, or weak practices.
04
Roadmap & Remediation
Prioritize actions, assign owners, define dependencies, and sequence implementation work.
05
Readiness & Monitoring
Maintain evidence, review progress, track remediation, and support ongoing governance readiness.
Common challenges
Where NDMO Programmes Often Need Attention
NDMO work becomes difficult when governance, data ownership, evidence, and operational processes are managed separately.
Unclear governance ownership
Roles and decision rights are not clearly assigned across data-management activities.
Fragmented policies and procedures
Documentation exists in different teams but does not form a consistent governance system.
Weak data-management evidence
Teams perform activities, but the records do not clearly demonstrate how requirements are being met.
Inconsistent data quality practices
Quality controls and accountability differ by system, department, or data domain.
Data-sharing and lifecycle gaps
Movement, sharing, retention, and operational handling are not governed consistently.
Difficulty maintaining readiness
Remediation and governance improvements are difficult to track once the initial assessment is complete.
Why SecureLink
A Practical, Evidence-Led NDMO Approach
The objective is not to produce documents in isolation. It is to connect requirements to real ownership, processes, evidence, and remediation that the organization can maintain.
Framework-Specific Scoping
We keep NDMO requirements separate from unrelated IT service messaging and define the compliance boundary before deeper assessment work.
Clear Ownership
Requirements and findings are connected to responsible owners, actions, evidence needs, and management decisions.
Practical Documentation
Policies, procedures, registers, reports, and governance records are structured around how the organization actually operates.
Cross-Framework Awareness
Related privacy and cybersecurity requirements can be considered without turning the NDMO page into another framework’s service page.
Remediation Prioritization
Actions can be sequenced using requirement priority, risk, dependency, ownership, and implementation effort.
Long-Term Readiness
The programme is designed around maintainable governance and evidence rather than a one-time documentation exercise.
Start with the right scope
Build a Clear NDMO Compliance Roadmap
Whether you are establishing data governance, reviewing current readiness, preparing evidence, or closing known gaps, SecureLink can help define the applicable NDMO requirements and turn them into a practical programme with clear ownership and next actions.
NDMO FAQ
Frequently Asked Questions
Clear answers to common questions about NDMO compliance, scope, standards, assessment, and related data-management workstreams.
Need help understanding what applies?
Start with the organization’s role, data responsibilities, applicable requirements, current governance structure, and evidence. A defined scope makes the next steps much clearer.
What is NDMO compliance in Saudi Arabia?
NDMO compliance refers to implementing the National Data Management and Personal Data Protection Standards and the related data-governance requirements that apply to an organization. The Standards cover 15 data management and personal data protection domains.
Who needs to implement the NDMO Standards?
The published Standards state that government entities must implement them and that compliance is measured yearly. Business partners handling government data should also understand and implement the Standards for the government data under their control, together with any contractual or regulatory obligations that apply to their role.
How many NDMO domains are there?
The NDMO Data Management and Personal Data Protection Standards cover 15 domains, including Data Governance, Data Catalog and Metadata, Data Quality, Data Operations, Data Classification, Personal Data Protection and Data Security and Protection.
How many NDMO controls and specifications are included?
The published Standards include 77 controls and 191 specifications across the 15 domains. The specifications are organized by implementation priority into P1, P2 and P3.
What is an NDMO gap assessment?
An NDMO gap assessment compares the applicable Standards with the organization’s current governance, policies, processes, data-management practices, records and evidence. The result should identify gaps, owners, priorities and practical remediation actions.
Is NDMO the same as PDPL?
No. NDMO covers a broader data-management and governance framework, while PDPL focuses on personal data protection. The NDMO Standards include a Personal Data Protection domain, so the two areas can overlap and should be coordinated where both apply.
Does NDMO compliance include data classification and data discovery?
Data classification and data visibility can support NDMO requirements, but they are specialist workstreams. SecureLink provides separate Data Classification and Data Discovery service pages for detailed implementation work.
What is the first step in an NDMO compliance programme?
Start by confirming the organization’s role, applicable obligations, current data-management structure, governance ownership and existing evidence. From there, establish the assessment boundary and map the applicable NDMO requirements before planning remediation.