SiriusOne:

Enterprise Azure Data Warehouse Modernization

Cloud-native multi-region DWH platform replacing manual Excel-based reporting with automated, scalable analytics infrastructure.

Client & Project Overview

A healthcare-focused international organization operating across the UAE and EU relied on a workflow of exporting hundreds of CSV files, manually consolidating them in Excel, and ingesting them into a monolithic Power BI model. SiriusOne was approached to replace these manual pipelines with a scalable, secure Azure-based Data Warehouse, establishing a single source of truth across regions and enabling daily refresh cycles instead of monthly.

Business Problem

The existing reporting ecosystem had reached its architectural ceiling, presenting significant structural risks and performance bottlenecks.
Key challenges included:
  • Manual consolidation of ~800 CSV files introducing human error
  • Over-engineered Power BI models with 30+ chained transformation steps
  • Scalability limits (InteractionLogs dataset exceeding Excel’s 1M row limit)
  • Slow report refresh cycles and poor query performance (heavy DAX)
  • Fragmented data governance across UAE and EU regions
  • High operational risk due to lack of automation and auditability

Tech Stack

Azure Data Factory – automated ingestion pipelines

Azure Data Lake Storage (ADLS) – raw & curated layers

Azure SQL Database / Synapse Serverless – analytical workloads

Azure Synapse Analytics (scalable path)

Azure Key Vault – security & credential management

Power BI – optimized reporting layer

#DataWarehouse

#AzureCloud

#PowerBI

#HealthTech

Enterprise Azure Data Warehouse Modernization - slide 1
Enterprise Azure Data Warehouse Modernization - slide 2

Project Timeline

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We implemented a 15-week roadmap, delivering value incrementally through vertical milestones to ensure a smooth transition from legacy tools.

Duration

15 weeks

Effort

Full-cycle implementation

Discovery

2 weeks

Deep audit of current ecosystem including: PMS system, SAP Business One, Power BI semantic model, DAX performance diagnostics, Data governance mapping

Foundation & Automation

4 weeks

Core Azure infrastructure deployment and first automated PMS data flows.

DWH & Production Reports

4 weeks

SAP B1 integration and re-engineering of business-critical performance reports.

Enterprise Scalability

4 weeks

Leadership dashboards, complete suite migration, and retirement of old infra.

Training & Handover

1 week

Technical documentation, Data dictionaries, Maintenance guides, Knowledge transfer sessions, Final UAT sign-off.

Team involved

Lead Data Architect team member 1

Lead Data Architect

Azure Cloud Engineer team member 1

Azure Cloud Engineer

Senior Power BI Consultant team member 1

Senior Power BI Consultant

Business Analyst team member 1

Business Analyst

Solution Overview

SiriusOne developed a federated multi-region architecture with isolated environments for UAE and EU data, ensuring compliance with strict residency regulations while automating the entire reporting factory.

Federated Multi-Region Architecture

Two isolated Azure environments ensuring local compliance for UAE and global data for EU.

Automated Data Factory Pipelines

Elimination of manual CSV exports via direct system replica ingestion for reliable refresh cycles.

Optimized Star Schema DWH

Replacement of monolithic semantic layers with high-performance fact/dimension models in Synapse.

Cost-Controlled Growth Path

Phased deployment starting with Azure SQL/Synapse Serverless with a clear path to Dedicated Synapse.

GDPR-Aligned Governance

Centralized security and auditable data access across all international branches.

Results

100% Automation

Complete elimination of manual CSV and Excel-based workflows for reporting.

Faster Refresh Cycles

Significant reduction in report processing time and removal of Row-limit constraints.

Infinite Scalability

Production-ready DWH model capable of handling massive growth in interaction logs.

Unified Data Governance

Established a single source of truth with a secure, GDPR-aligned infrastructure.

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