Data Analytics & BI Services in Dubai, UAE
Run the business on one version of the truth.
We connect operational systems, model the data properly and deliver dashboards, forecasts and AI-ready datasets that leaders trust enough to act on.
Overview
Most data problems are integration and definition problems.
Revenue means three different things in three different reports. Stock levels don't match between systems. We fix the foundations: pipelines, a governed data model and clear metric definitions.
Then we build the layer people use — executive dashboards, operational reports, self-service analytics and AI-driven insights.
Capabilities
Data services
Data engineering
Pipelines from ERP, CRM, finance and operational systems into a governed platform.
Data platforms
Warehouse and lakehouse architecture on cloud platforms, sized to your needs.
Business intelligence
Executive and operational dashboards with consistent, documented metrics.
Decision intelligence
Forecasting, anomaly detection and natural-language queries on business data.
Data governance
Ownership, quality rules, lineage and access policies.
AI-ready data
Clean, documented datasets and retrieval layers that make AI accurate.
Products
Accelerate with Tecvisio.AI products.
Where our own platforms fit, they shorten time to value — and our teams implement and integrate them.
Enterprise operating platform
The intelligent enterprise operating platform.
Lune unifies finance, CRM, procurement, inventory, manufacturing, projects, HR and commerce — with no-code customisation, business automation and AI insights built in.
Technology
Technologies we work with.
- Power BI
- Looker
- BigQuery
- Snowflake
- Azure Synapse
- dbt
- Airflow
- Python
- PostgreSQL
Work
Data in practice.
Use cases
Start from the problem.
FAQ
Frequently asked questions
Do we need a data warehouse to get useful dashboards?
Not always. For a single system, built-in reporting may be enough. Once you need to combine ERP, CRM and operational data, a governed data platform pays off quickly.
Which BI tool do you recommend?
Power BI is a strong default for Microsoft-centric organisations; Looker and others suit Google Cloud estates. Lune includes AI business insights natively for its users.
How do you make data AI-ready?
By cleaning and documenting core entities, establishing quality checks and access rules, and building retrieval layers that let AI use the data safely.
Ready to talk about data?
Tell us about the problem and the systems involved. You'll speak with a senior consultant who can go deep on the technology.