Move one high-priority AI or analytics use case from pilot to production in 4–6 months by fixing the data underneath it. Datarow focuses on data quality, governance, and PDPL/NDMO alignment so your AI and analytics can finally be trusted.
You have AI pilots, governance frameworks, and maybe a data platform. But nobody has owned the hard work of profiling, cleaning, and governing the data itself.
Many Saudi organizations invest millions in Big 4 roadmaps and governance frameworks. But nobody actually profiles the data, fixes quality issues, or makes the controls work on real systems.
Chatbots, fraud models, and personalization engines stay at 60% accuracy. The problem isn't the algorithms – it's fragmented, incomplete, ungoverned data underneath.
SDAIA can issue SAR 5M fines. Boards are asking about readiness. Tools like Informatica or Collibra sit unused because implementation is complex. You need a data readiness partner, not another strategy slide deck.
From data discovery to quality remediation to governance operationalization, Datarow does the dirty work your consultants recommend but don't deliver.
4–6 weeks – Data profiling across 1–2 priority domains, mini-NDMO snapshot, PDPL scope for one AI use case, and a practical data-readiness roadmap.
8–12 weeks – Hands-on data cleansing, DQ rules, basic master-data mapping, PDPL controls for the in-scope flows, and NDMO controls for those domains.
Light quarterly reviews, continuous compliance checks, and planning for Wave 2 (more domains and use cases).
In 4–6 months of Wave 1, here's what you can show your leadership
Duplicates down, completeness up, errors eliminated for in-scope domains. Live dashboards showing progress.
Chatbot, fraud, or a priority analytics use case where the data is now trustworthy.
Documented controls, evidence, and monitoring for the data involved in your chosen use case(s).
Priority domains moved from "Initial" to a managed, repeatable level – ready to extend in Wave 2.
We configure and integrate your existing data platform (e.g., Informatica, Collibra, Governata) for Saudi NDMO/PDPL requirements – or recommend a pragmatic alternative.
Real-time dashboards, data lineage visualization, governance KPIs your board can understand.
Structured programs designed for Saudi government entities, banks, telcos, and large private groups
Mid-size DMO or Single Business Unit
Large Bank, Telco, or Major Entity
Ministry or National Authority
For large-scale multi-domain programs, cross-entity initiatives, or national-level compliance requirements, we develop custom proposals tailored to your specific needs.
After our assessment, if we discover specific data gaps blocking an AI use case, Datarow can run targeted data-generation projects to fill those gaps in a PDPL-compliant way
During Phase 1 assessment, we might discover: "Your chatbot needs 15,000 labeled Arabic customer conversations to move from 60% to 90% accuracy" or "Your credit model needs 5,000 more labeled edge cases."
10K-20K customer service conversations in Saudi dialects, transcribed, anonymized per PDPL, labeled and training-ready
Fill missing customer master attributes (income, employment, family size) through PDPL-compliant surveys and research
Synthetic + real labeled anomalous transactions for fraud detection and AML model training
Outcome-focused, not speculative
We only recommend Phase 2 when we've identified high-value gaps tied to specific AI use cases
Datarow is a Saudi-based data readiness company. We specialize in data quality, governance, and PDPL/NDMO alignment so that your AI and analytics initiatives can move from pilot to production.
We're execution-focused: our work is measured in cleaner tables, fewer errors, and AI use cases that finally go live.
Let's discuss your most important AI or analytics use case and the 1–2 data domains that must be fixed first
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