Data Platforms & Analytics
ESMNT (formerly Mags Group) builds the data platforms behind modern software. We design warehouses, pipelines, and analytics that turn raw data into decisions, for businesses in Amman, Riyadh, and across the MENA region.
What We Deliver
Turn Data Into Actionable Business Intelligence
Data Warehousing
Modern cloud data warehouses with optimized schemas and query performance.
Business Intelligence
Self-service BI platforms with interactive dashboards and automated reporting.
Real-Time Analytics
Streaming data pipelines for instant insights and real-time decision making.
Data Governance
Data quality, lineage, cataloging, and compliance frameworks.
ETL/ELT Pipelines
Automated data ingestion and transformation pipelines at scale.
Advanced Analytics
Statistical analysis, data science workbenches, and embedded analytics.
Our Approach
A proven methodology that ensures consistent, high-quality delivery
Data Strategy
Define data vision, use cases, and success metrics aligned with business goals.
Architecture Design
Design data platform architecture including storage, processing, and serving layers.
Platform Build
Implement data infrastructure, pipelines, and governance frameworks.
Analytics Enablement
Deploy BI tools, build dashboards, and train users on self-service analytics.
Continuous Improvement
Performance optimization, new data source integration, and capability expansion.
Related Services
Explore complementary capabilities that enhance your technology initiatives
Data Platforms & Analytics guides for MENA
AI Engineering in Amman: Building Production AI Systems
AI engineering in Amman: how ESMNT (formerly Mags Group) builds production-grade AI systems, data pipelines, LLMs, MLOps, for businesses across the GCC and MENA.
Read guideLLM Application Development for MENA Businesses Guide
LLM application development for MENA businesses: a practical guide to building reliable, Arabic-ready generative AI products that ship and scale.
Read guideRAG Systems Explained: Retrieval AI for Arabic & English
RAG systems explained: how retrieval-augmented generation grounds LLMs in your own Arabic and English data for accurate, source-backed answers.
Read guideDeploying AI Models in Production: MLOps for GCC Teams
Deploying AI models in production: an MLOps playbook for GCC teams covering CI/CD, monitoring, rollback, and cost control that keeps models reliable.
Read guide