Azure · AWS · OVHcloud
Compute, storage, security, networking, and resilient deployment aligned to regional and enterprise needs.
Technology ecosystem
Technology follows
the business decision.
We design practical combinations of platforms, frameworks, and Dat-Analytics products according to data maturity, operating constraints, governance, and expected outcomes.
CloudLakehouseEngineeringBIGovernanceAIBUSINESS
VALUE
VALUE
Architecture by layers
A versatile stack, selected with purpose.
Databricks · PostgreSQL · SQL
Lakehouse, relational, semantic, and governed data foundations for analytics and operational use.
Power BI · Tableau · DatPortal
Executive reporting, embedded analytics, governed distribution, and experiences designed around decisions.
Python · DatCore · APIs
Integration, orchestration, monitoring, transformation, and repeatable analytical operations.
OpenAI · DatTalk · DatInspector
Conversational analytics, quality, documentation, lineage, and assisted decision workflows.
Databricks · BI · SQL · Python
Applied corporate training that connects platform capability with real business practices.
Our selection principles
- Fit before fashion. The stack must match the operating model.
- Interoperability. Avoid unnecessary lock-in and preserve future options.
- Governance by design. Security, quality, ownership, and traceability are part of the architecture.
- Actionability. Technology succeeds when it shortens the path from information to action.