A metric means different things to different departments.
Which definition is approved, and who owns it?
Data governance & regulatory alignment
Governance that produces evidence.
Discuss a project
Clear ownership, applied policies, managed classification and privacy, and evidence that stands up to the auditor and to national measurement cycles.
WHEN GOVERNANCE MATTERS
The same data. Different answers?
Governance becomes tangible in the everyday questions people ask about data, and in the questions auditors and National Data Index assessors ask.
The same metricDepartment ADepartment BDepartment C
A data issue crosses departments, but ownership is unclear.
Who decides, who is accountable, and where is the decision recorded?
Approved policies, but no evidence they are applied.
Which procedure produces the evidence, and who runs it every quarter?
A framework that lives on the platform.
Governance becomes real when a data owner can answer for a dataset, a steward can approve a term, and an auditor can trace a decision. Jadara designs governance frameworks and implements them on enterprise platforms, so that policies, roles, workflows and evidence live in one place. For Saudi entities this includes data classification, personal data protection programs and the continuous evidence that National Data Index measurement cycles expect.
Clear ownership
A data council, owners, stewards and a RACI that define who decides and who executes.
Policies that become procedures
Every policy maps to documented procedures and platform workflows recorded in the audit log.
Managed classification and privacy
Classification applied across systems, personal data discovered, and processing records and impact assessments kept current.
Governance framework
- Data governance charter and operating model
- Data council, data owners and stewards
- Policies, standards, procedures and governance KPIs
Classification & privacy
- Data classification policy, levels and access matrix
- Personal data discovery, records of processing and impact assessments (ROPA, PIA, DPIA)
- Privacy by design, incident procedures and data-subject rights
Governance on the platform
- Approval, access-request and certification workflows
- Policy-to-asset linkage and enforcement tracking
- Governance dashboards and evidence extracts per domain
THE NATIONAL CONTEXT
Alignment is designed, not claimed.
Jadara’s governance frameworks are built on the NDMO domains and specifications, configured to produce the evidence the National Data Index expects, and integrate PDPL, Essential Cybersecurity Controls and sector requirements where they apply.
- Which domains and specifications apply to your organization?
- Which policies and roles exist, and where are the gaps against the next measurement cycle?
- Which evidence can the platform produce automatically, and what still needs a procedure?
Compliance and certification outcomes remain with the regulators; we design the alignment, produce the evidence and accompany the organization through measurement cycles.
Official sources: The Data Management and Personal Data Protection Standards, the National Data Index and the Personal Data Protection Law from the Saudi Data & AI Authority (SDAIA), and the Essential Cybersecurity Controls from the National Cybersecurity Authority (NCA).
HOW WE WORK
From assessment to continuous evidence.
Every organization starts from a different point; these stages help define a suitable scope.
Assess
We inventory existing controls, policies and roles, and measure gaps against national and sector requirements.
Design
We design the framework, policies, classification scheme and the interaction model between owners, stewards and the data office.
Implement
We move the framework onto the platform: assets, roles, workflows and dashboards, with classification and personal data discovery.
Operate
Owners and stewards run the workflows, evidence is extracted every quarter, and gaps feed back into the action plan.
Common questions
A little more clarity.
How does governance relate to the data catalog?
The catalog is where governance lives in practice: approved terms, owners, policies linked to assets and approval workflows. We design the two together.
What does PDPL readiness involve?
Knowing where personal data is and how it flows, records of processing activities, impact assessments, retention and disclosure policies, incident and data-subject rights procedures, and an operating model that keeps all of it current.
Do we need a platform to start?
No. Work starts with the framework, policies and roles; the platform can follow. Automation is what makes evidence continuous rather than seasonal.
Part of a connected picture.
Data strategy & data office advisory
From maturity assessment to an operating data office: the strategy, operating model and roadmap that make data a managed asset.
Metadata, data catalog & lineage
An enterprise catalog with a business glossary, automated scanning, end-to-end lineage and impact analysis, so people find, understand and trust data.
Data quality management
Profiling, business rules, scorecards and monitoring across the six quality dimensions, so decisions and reports rest on data people can trust.
START A CONVERSATION
Tell us about your initiative.
A data office to establish, an index cycle to prepare for, a platform to deliver, a program to rescue. Share the context and we will come back with the right team and a scoped proposal.
Discuss a projectOpens an email to our team. Proposals and RFP responses are prepared in Arabic and English.
HEADQUARTERS
7076 ALSAHBA 4431Riyadh, Saudi Arabia
What helps us respond precisely
- The initiative or challenge to address
- The systems and data sources involved
- The regulatory requirements or measurement cycle in view
- The timeline and the stakeholders