How Embee Software migrated a leading housing-finance institution from Azure Synapse to Microsoft Fabric, delivering 40-50% faster data processing and unified governance across a regulated, data-intensive enterprise.
The Challenge
The customer is a leading financial services institution delivering housing-finance solutions in a highly regulated, data-driven environment. With growing data volumes and rising demand for real-time insights, it needed a modern, scalable analytics platform to support business agility and faster decision-making. Its existing Azure Synapse environment had become a source of fragmentation and delay.
The core gaps:
- A fragmented analytics ecosystem: disparate pipelines, datasets, and reporting layers across platforms
- Scalability constraints, with data volumes of 100+ GB per day affecting performance and refresh cycles
- Limited real-time insight, as processing delays slowed business decisions
- Governance complexity from a lack of unified control, access policies, and monitoring
- Operational inefficiency from manual pipeline management and dependence on multiple tools
- Data-accessibility challenges in providing consistent, business-ready data across teams
The Solution: Microsoft Fabric with Medallion Architecture
Embee Software designed a phased migration from Azure Synapse to Microsoft Fabric, anchored by a Medallion data-architecture framework. The engagement addressed platform unification, governance, automation, and reporting across two structured phases.
Phase 1: Platform Migration
Comprehensive dependency mapping, architecture redesign, and migration of 291 data pipelines, 561 datasets, and 35 Power BI dashboards into Fabric workspaces, with validation, monitoring, and performance optimisation embedded throughout.
Phase 2: Medallion Framework
A three-layer data architecture to enforce quality and traceability:
- Bronze layer: raw data ingested directly into the Lakehouse without transformation
- Silver layer: data cleansed, enriched, and transformed via Dataflows and Spark Notebooks
- Gold layer: business-ready datasets served through the Warehouse and analytical models
This framework enabled end-to-end data lineage, consistent quality standards, and faster delivery of trusted data.
Scalable Data Engineering & Automation
- Enabled ingestion of approximately 120 GB of data daily, with high-frequency refresh cycles
- Used Fabric Pipelines and Dataflows Gen2 for low-code automation
- Reduced manual intervention and improved pipeline efficiency and reliability
Governance, Security & Monitoring
- Role-based access control and policy-driven governance
- Centralised monitoring using Fabric-native tools
- Improved compliance, visibility, and operational control
Tools and technologies: Microsoft Fabric, Power BI, Fabric Pipelines and Dataflows Gen2, Lakehouse and Data Warehouse, Azure Synapse (legacy), Spark-based Notebooks, and Azure-native governance and monitoring tools.
Results & Impact
- 40-50% improvement in data processing and refresh performance
- A unified platform managing 291 pipelines and 561 datasets, improving operational efficiency
- ~120 GB per day ingestion at scale, supporting high-frequency analytics needs
- 30-40% reduction in manual data-engineering effort through automation
- Faster decision-making, enabled by near real-time Power BI dashboards
- Improved data quality and governance, reducing inconsistencies and audit risk
- A scalable architecture ready to support growing data volumes and advanced analytics
Before vs. After
| Area | Before | After |
| Analytics platform | Fragmented tools and workflows | Unified analytics environment |
| Data processing | Slow ingestion and refresh cycles | Near real-time, high-speed processing |
| Governance | Limited visibility and control | Centralised, policy-driven governance |
| Data accessibility | Inconsistent and siloed | Unified, business-ready access |
| Operational efficiency | Manual, complex workflows | Automated, low-code pipelines |
| Reporting | Disconnected dashboards | Integrated Power BI reporting |
| Scalability | Constrained by platform limits | Highly scalable architecture |
A Future-Ready Data Foundation
The Microsoft Fabric implementation goes beyond immediate performance gains. It establishes an enterprise architecture capable of supporting application modernisation, AI-driven analytics, and data democratisation across business units: a scalable platform ready to absorb new data sources, governance aligned with regulatory compliance, and a foundation for advanced AI and predictive-analytics use cases.
Modernize Your Analytics with Microsoft Fabric
Most enterprises do not have a data problem so much as a fragmentation problem: the numbers exist, but they live in disparate pipelines and tools. Embee Software builds unified analytics platforms on Microsoft Fabric, bringing lakehouse, warehouse, semantic modelling and data analytics into one governed platform, with data protection and data integrity designed in from the start.
As a Microsoft Fabric Featured Partner and Microsoft Frontier Partner, we help regulated BFSI organisations move off ageing Azure Synapse estates through cloud migration and cloud consulting and assessment, then keep them optimised with cloud managed services. Browse more customer success stories.
Ready to unify your data estate? Talk to our Data and AI team to see what a governed Microsoft Fabric platform would look like for your business.
