Project Name
SDAIA/NDMO-Compliant Data Governance and AI Analytics Platform Industry: Government
A government infrastructure centre in Saudi Arabia had built its operations across multiple business units generating structured and unstructured data from facilities management, regulatory operations, and public service delivery. The centre operated under Saudi Arabia’s Vision 2030 digital transformation mandate and was subject to SDAIA and NDMO national data governance standards. There was one significant problem: data was scattered across disparate systems with no unified schema, no centralised catalogue, and no governance framework in place, leaving the organisation unable to demonstrate regulatory compliance or deliver reliable reporting to its leadership.
With no BI dashboards, no AI analytics capability, and no data foundation to build on, the centre faced mounting audit risk and could not begin executing the AI use cases it had already identified as strategic priorities. The organisation partnered with Ksolves, an AI-First Company, to design and deliver a comprehensive Data Governance and AI Analytics platform aligned to SDAIA and NDMO requirements, with knowledge transfer to the centre’s internal teams built in as a core delivery component.
The challenges faced by the client are as follows:
- Unstructured Data Across Business Units: Data from facilities, operations, and public services was held in disparate systems with no unified schema, catalog, or quality standard, making cross-unit reporting impossible.
- No SDAIA/NDMO Compliance Framework: The center had not implemented the data governance structures required under Saudi Arabia's national data management framework, creating regulatory exposure and audit risk.
- Absence of Centralized BI Dashboards: Senior leadership had no reliable mechanism to monitor operational KPIs. Reports were produced manually, inconsistently, and without a single source of truth.
- No AI/ML Analytics Capability: The center had identified use cases for AI-driven decision support, but had no data foundation, tooling, or governance structure to begin AI analytics delivery safely.
- Data Cataloging Gap: Without a centralized data catalog, teams could not discover, assess quality, or understand the lineage of data assets held across the organization, a prerequisite for both governance and AI.
- Internal Team Capability Constraints: The center's internal team lacked the data engineering and governance expertise needed to build and sustain the platform, requiring knowledge transfer as a core delivery component.
Ksolves, an AI-First Company, proposed a structured Data Governance and AI Analytics platform aligned to SDAIA/NDMO standards, combining a governed data catalog, BI dashboard layer, and AI/ML use case framework. The solution was designed to be operationally sustainable by the center's internal teams following delivery.
- SDAIA/NDMO-Aligned Governance Framework: Ksolves mapped the center's data assets to SDAIA and NDMO compliance requirements, establishing data classification policies, stewardship roles, and a governance operating model.
- Centralized Data Catalog: A data catalog was designed to inventory all major data assets across business units, with metadata standards, lineage documentation, and quality scoring built in from day one.
- BI Dashboard Platform: A leadership-facing BI dashboard layer was architected to deliver reliable, governed KPI reporting across operations, compliance, and service delivery, replacing manual report production.
- AI/ML Use Case Framework: Ksolves defined and prioritized AI use cases aligned to the center's operational objectives, with a phased delivery roadmap and data readiness assessment for each use case.
- Advanced Analytics Capability Build: An advanced analytics layer was designed to support both descriptive and predictive analytics, with the governance framework ensuring that AI outputs were traceable and compliant with national standards.
Technology Stack
| Layer | Technology |
|---|---|
| Compliance | SDAIA / NDMO |
| Architecture | Data Governance |
| Platform | Data Cataloguing |
| Frontend | BI Dashboards |
| AI/ML | AI/ML Use Cases |
- SDAIA/NDMO Compliance Framework Established: The center had no formal data governance structure and could not demonstrate compliance with Saudi national data management standards. A full SDAIA/NDMO-aligned governance framework has been designed and documented, giving the center a compliance-ready operating model targeted to be audit-ready within 6 months of deployment.
- Leadership BI Visibility Created: Senior management previously relied on manually produced, inconsistent reports with no single source of truth for operational KPIs. A centralized BI dashboard platform now delivers governed, real-time KPI reporting across all major business units.
- Data Asset Discoverability Enabled: With no data catalog in place, teams could not find, assess, or trust data assets held across the organization. A centralized data catalog now inventories all major data assets with metadata, lineage, and quality scoring, enabling governed data sharing across units.
- AI Analytics Use Cases Defined and Prioritized: The center had AI ambitions but no data foundation, governance structure, or prioritized use case roadmap to begin delivery. Three AI use cases have been prioritized with data readiness assessments and a phased delivery roadmap, ready for immediate execution post-governance deployment.
“For the first time, we have a clear picture of what data we hold, where it comes from, and how to govern it in line with national standards. The platform gives our leadership the dashboards they need and our teams the foundation to deliver AI.”
– Chief Data and AI Officer, A Government Infrastructure Centre
Ksolves with Big Data Consulting Services transformed a Saudi government infrastructure centre from an organisation with unstructured & ungoverned data across multiple units into one equipped with an SDAIA-aligned Data Governance and AI Analytics platform. The engagement delivered a centralised catalogue, governed BI reporting, and three prioritised AI use cases ready for delivery.
The platform positions the centre as a model of data governance maturity within Saudi Arabia’s Vision 2030 digital transformation programme, with an architecture replicable across other government bodies. With governance and BI now established, the centre is positioned to execute AI use cases on a trusted, compliant data foundation, accelerating data-driven decision-making across all departments.
Is Your Government Organisation Ready to Meet SDAIA/NDMO Requirements and Deliver AI Analytics?
