Consulting & architecture
in data, BI and AI.
We design robust target architectures to organize, govern and make better use of data in support of business priorities.

Architectures designed to last
Data is a strategic asset. The quality of its architecture shapes an organization’s ability to innovate, meet its obligations and make informed decisions. Bennen Technologies helps you design modern, robust architectures aligned with your operations.
We work at every stage: initial audit, target architecture, AI strategy and governance frameworks. Our approach is practical — we deliver architectures that can be implemented.
Drawing on our Microsoft Canada experience, we work with major cloud platforms and architectural approaches including data lakehouses, medallion architectures, data mesh and modern AI systems.
Typical deliverables
Audit report and data assessment
Documented target architecture and decision records
Prioritized roadmap with estimates
Data governance framework
AI strategy and use-case catalogue
Cloud reference architecture
Migration and modernization plan
What we deliver
Data audit & maturity assessment
Assessment of your data assets, current architectures and maturity to define a realistic, prioritized roadmap.
Data Lakehouse & Fabric architecture
Design of modern architectures — Medallion, Lambda or Kappa — on Microsoft Fabric, Databricks, Azure Synapse, AWS or GCP, based on your constraints and goals.
Data governance
Data catalogues, quality policies, data lineage, metadata management and support for applicable privacy and assurance requirements, including GDPR, Law 25 and SOC 2.
AI strategy & roadmap
Define an AI strategy aligned with your business priorities, identify valuable use cases, set priorities and plan delivery.
Cloud reference architecture
Secure, scalable and optimized cloud architectures on Azure, AWS or GCP, incorporating DevSecOps practices.
Related services
Business applications compliant by design ↗
Custom platforms and applications built for security, traceability and compliance.
MLOps, LLMOps & intelligent automation ↗
AI model production readiness and deployment of generative solutions.
Business intelligence & advanced analytics ↗
Dashboards, predictive analytics and self-service BI for informed decisions.
Need a solid data architecture?
Let’s discuss your context and define a target architecture that supports your goals.