Almadar The same customer showing up three different ways across three systems is as common in an Olaya trading company as it is in a KAFD financial group.
This is the ongoing operational discipline that data strategy establishes direction for. Strategy decides what needs fixing and in what order; governance is the standing framework that keeps data quality from degrading again once it has been fixed.
Data ownership and stewardship
Every major data domain, customer, product, employee, financial, needs a named owner accountable for its quality and a steward responsible for day-to-day maintenance. Without this, quality issues are everyone's problem and therefore nobody's, which is exactly the condition that allows duplicate customer records and inconsistent product coding to persist for years.
Quality standards and enforcement
Governance defines what "correct" means for each data field, a valid VAT registration number format, a complete customer address, a properly categorized expense, and builds validation into the systems that capture data rather than relying on downstream cleanup. Enforcement at the point of entry is dramatically cheaper than correction after the fact.
Access and security
Governance also covers who may see and change what, which connects directly to broader control design and to AI governance where models process the data being governed. For Riyadh businesses this includes PDPL compliance for personal data specifically, which needs explicit ownership rather than being assumed to be someone's implicit responsibility.
A common Saudi scenario
A Riyadh distribution group discovers during a BI project that its top twenty customers by revenue, according to the CRM, do not match its top twenty by receivables, according to the ERP, because the same legal entities are recorded under slightly different names in each system with no reconciliation. Governance assigns customer master ownership to a specific role, mandates a single numbering scheme, and requires new customer creation to check for existing matches before proceeding.
Making governance stick
A governance framework documented once and never revisited becomes irrelevant within a year as the business changes. We build in periodic review, measurable quality metrics reported to a named owner, and a lightweight change process so governance evolves with the business rather than becoming a compliance document nobody consults.
Starting small and proving value
A governance program launched as a comprehensive framework across every data domain simultaneously tends to stall under its own scope. We start with the single domain causing the most visible pain, usually customer or financial master data, prove the framework works and delivers measurable quality improvement, then extend it domain by domain rather than attempting everything at once.
Connecting governance to Zakat and regulatory reporting
Master data quality has a direct compliance dimension in Riyadh: an inconsistent customer VAT number or duplicated supplier record does not just confuse a report, it can produce an incorrect VAT return or Zakat calculation. Framing governance partly as a compliance discipline, not only a reporting one, tends to secure the executive attention it needs to be resourced properly.
Groups with entities across multiple Saudi cities need governance to explicitly address cross-entity data consistency, since local autonomy in how each site or entity maintains records is usually the direct cause of group-level reporting problems.