Clarity
Rules are explicit
Each control is tied to a business definition, threshold and owner.
Data Quality & Governance
Your business runs on data. Make it trustworthy.
We help companies improve the quality, reliability and governance of their critical business data.
Continuous control system
A quality control system that monitors your critical data continuously
We implement an automated layer of controls, alerting and monitoring to detect anomalies before they affect your business decisions.
Traceability
Issues become actionable
Gaps are qualified, prioritized and routed to the right teams.
Continuity
Reliability no longer depends on one-off audits
The system evolves with your data, processes and decisions.
Engineered Systems & Governance
Our services are calibrated for accuracy, reliability and control across the data that guides your decisions.
Data Quality Checks
Automated controls on critical attributes: completeness, uniqueness, consistency, freshness, format and reference rules.
- Schema validation
- Deduplication
- Freshness controls
Data Monitoring
Continuous monitoring of freshness, volumes, synchronizations and discrepancies between business systems, BI and the data warehouse.
- Latency tracking
- Drift detection
- Flow health
Data Governance
Reference rules for entities, statuses, sources, owners and hierarchies to create reliable and consistent business data.
- Clear ownership
- Lineage mapping
- Reference rules
Alerting & Reporting
Slack, email or Teams alerts and dashboards to track data quality over time.
- Actionable alerts
- Incident logs
- Control reporting
Intelligent infrastructure
AI Agents for Smarter Data Pipelines
Traditional pipelines just move data. AI-supervised pipelines understand it: they monitor data flow in real time, recognizing anomalies, schema breaks and quality degradation before downstream systems are affected.
Pipeline Monitoring
Continuous observation of throughput, latency and resource utilization across active data streams.
Data Quality Assurance
Automated validation against expected schemas, null-rate thresholds and historical distribution patterns.
Root Cause Analysis
Immediate tracing of anomalies back to source commits, logic changes or structural shifts upstream.
- Reduce data downtime with predictive alerting.
- Strengthen compliance with automated data quality auditing.
- Accelerate decisions with trusted, contextualized metrics.
- Reduce time spent investigating discrepancies across systems.
- Prioritize fixes with the strongest business impact.
- Create a reliable foundation for automation, AI and reporting.
Ready to optimize?
Get a professional assessment of your data infrastructure.
Case studies
Enterprise Impact
Discover how rigorous data infrastructure and monitoring establish trust, reduce discrepancies, and support operational scale.
Global Data Strategy
Unified Data Architecture for Complex Operations
Architecting rules, ownership, and controls to establish a reliable source of truth across systems, teams, and reporting layers.
Read full brief
Data Reliability
Quality Monitoring for Operations Teams
Detect missing values, stale statuses, calculation gaps and outdated operational data.
View case study
Global Data Quality
Automated Reconciliation Between Core Systems
Reconcile figures across business applications, data warehouses, Power BI, Looker, Tableau or finance reporting.
View case study
Executive perspective
Trusted by Industry Leaders
Feedback from past data, architecture and governance work delivered in demanding enterprise environments.
"Quick adaptation to a challenging mission context, with the rigor, reliability, availability and initiative needed to move the project forward."
Abdellah Addoud
Manager at Finance Dep., Credit Agricole Assurance
Anas TAHRI
Pigment solution Architect Director, Mertiwaves
"Mohamed combines professionalism, expertise, and efficiency. His ability to quickly understand complex challenges and deliver high-quality results makes him a trusted and valuable partner."
Arnaud Nujurally
Project Manager, Credit Agricole Assurance
"The collaboration brought strong data expertise, steady commitment, and a structured way of working to complex regulatory and enterprise data topics."
Moaad Dahmane
Senior Data Engineer, Vinci Airports
"The architectural support helped transform our data landscape. Our data processes became more streamlined, reliable, and scalable."
Simon Huillard
Smart Data Hub Project Manager, VINCI Airports
"I had the opportunity to collaborate with Mohamed on an international data project. His support was instrumental in enhancing our performance in processing large volumes of data while maintaining excellent data quality standards. Mohamed's agility, availability and expertise were key factors in the success of our project."
Mahdi Amrani
Business Analyst, Accenture
"The delivery demonstrated deep technical expertise on large-scale strategic finance projects where precision and persistence mattered."
Next step
Want to know whether your business data is reliable?
We can analyze your critical data, flows and reporting to identify priority anomalies and propose a clear roadmap.
Book a Strategy Call
or email us at contact@mk4technova.com