A structured way to turn data into decisions. Reliable models, clear visuals, and a governance rhythm that scales.

Why it matters

Dashboards only drive action when data is governed, models are consistent, and users trust what they see. Saudi entities that handle government or personal data should align BI programs to SDAIA/NDMO policies and data-management standards. Doing so clarifies ownership, classification, sharing, and controls, improving reliability and audit readiness. 

How the BI capability is built

• Use-case & KPI definition: Start from decisions and audiences; define KPIs/OKRs, owners, and calculation rules to avoid conflicting numbers. 
• Data model & governance: Build a semantic model with conformed dimensions and source-of-truth datasets; apply NDMO classification, access controls, and sharing rules.
• Data quality controls: Set validation checks, freshness SLAs, and issue workflows.
• Platform setup & lifecycle: Configure environments, workspaces, and deployment pipelines, with permissions, promotion paths, and content certifications.
• Self-service with guardrails: Enable governed self-service, certified datasets, role-based access, and request/approval flows. So innovation and control coexist.
• Adoption & change: Publish release notes, data dictionaries, and in-product help; track usage and iteratively improve high-value pages.
• ESG pack: Optional mapping to Saudi Exchange ESG indicators for consistent sustainability reporting.

What you get

• KPI catalog & definitions with owners and calculation rules.
• Semantic data model (conformed dimensions, certified datasets) with NDMO-aligned access and sharing controls.
• Deployment & governance runbook for your BI platform (workspaces, pipelines, promotion, certification, roles). 
• Quality & freshness checks with incident workflow and SLA monitoring .
• Adoption metrics & usage dashboards (views, active users, certified content), plus an improvement backlog.
• ESG disclosure views aligned to Saudi Exchange ESG guidance.