Data Analytics Services in UAE | AI Data Analytics in Dubai

Yes. Our data lake architects design and build data lake and data warehouse architecture on Snowflake, BigQuery, and Redshift, including ingestion pipelines, governance, and the logical and physical layers — so structured and unstructured data live in one scalable, queryable platform.

Yes. In sectors like finance and healthcare, data rules matter a lot. We set up lineage tracking, access controls, and encryption to meet GDPR and other standards.

Yes. We often fix broken legacy pipelines. We find the weak points and rebuild them with tools like Airflow and dbt.

Most engagements combine three layers: data engineering (pipelines that collect and clean data), business intelligence (dashboards your team actually uses), and predictive analytics (models that forecast rather than just report). We scope which layers you need rather than selling all three by default.

The terms overlap in practice. Business intelligence usually emphasizes dashboards and reporting on data you already have; a data intelligence service provider more often also builds the underlying data infrastructure (lakes, warehouses, pipelines) that BI depends on. We do both, scoped to what your current setup is missing.

Pricing depends on data volume, source-system count, and whether you need new infrastructure (a data lake or warehouse) or just dashboards on existing data. A BI-only engagement on data you already collect costs meaningfully less than a full pipeline build.