The customer is a leading financial services institution delivering housing finance solutions, operating in a highly data-driven and regulated environment. With growing data volumes and increasing demand for real-time insights, the organization required a modern, scalable analytics platform to support business agility and decision-making.
Indian enterprises operating in regulated, data-intensive sectors face mounting pressure to deliver faster insights without compromising governance. Legacy analytics platforms that served adequately a few years ago now create fragmentation, delay, and operational risk. Microsoft Fabric offers a unified, cloud-native response to these challenges and Embee Software has demonstrated how this platform can transform enterprise analytics at scale.
Challenges Faced by the Customer
The organization encountered multiple challenges in its analytics landscape:
- Fragmented analytics ecosystem: Disparate pipelines, datasets, and reporting layers across platforms
- Scalability constraints: Increasing data volumes (100+ GB/day) impacting performance and refresh cycles
- Limited real-time insights: Delays in data processing affecting business decision-making
- Governance complexity: Lack of unified control, access policies, and monitoring
- Operational inefficiencies: Manual pipeline management and dependency on multiple tools
- Data accessibility challenges: Difficulty in providing consistent, business-ready data across teams
Solution Offered by Embee Software: 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 in two structured phases.
Phase 1 — Platform Migration involved comprehensive dependency mapping, architecture redesign, and the migration of 291 data pipelines, 561 datasets, and 35 Power BI dashboards into Fabric workspaces. Validation, monitoring, and performance optimisation were embedded throughout.
Phase 2 — Medallion Framework established 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.
3. Scalable Data Engineering & Automation
- Enabled ingestion of ~120 GB of data daily with high-frequency refresh cycles
- Leveraged Fabric Pipelines and Dataflows Gen2 for low-code automation
- Reduced manual intervention and improved pipeline efficiency
4. Governance, Security & Monitoring
- Role-based access control and policy-driven governance
- Centralized monitoring using Fabric-native tools
- Improved compliance, visibility, and operational control
Tools and Technologies Used
- Microsoft Fabric
- Power BI
- Fabric Pipelines & Dataflows Gen2
- Lakehouse & Data Warehouse
- Azure Synapse (legacy)
- Notebooks (Spark-based processing)
- Azure-native governance and monitoring tools
Impact of the Solution
- 40–50% improvement in data processing and refresh performance
- Unified platform managing 291 pipelines and 561 datasets, improving operational efficiency
- ~120 GB/day data 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 risks
- Scalable architecture ready to support growing data volumes and advanced analytics use cases
Before vs After: Business & IT Impact
| Area | Before (Synapse-Based Environment) | After (Microsoft Fabric) |
| Analytics Platform | Fragmented tools and workflows | Unified analytics platform |
| Data Processing | Slower ingestion and refresh cycles | High-speed, near real-time processing |
| Data Governance | Limited visibility and control | Centralized governance and monitoring |
| Data Accessibility | Inconsistent and siloed | Unified, business-ready data access |
| Operational Efficiency | Manual and complex workflows | Automated, low-code data pipelines |
| Reporting | Disconnected dashboards | Integrated Power BI reporting |
| Scalability | Limited | Highly scalable architecture |
Why Embee Software
Embee Software combines deep expertise in Data & AI with strong cloud transformation capabilities to deliver scalable, secure, and future-ready analytics solutions. By leveraging Microsoft Fabric and modern data architectures, Embee enables organizations to unlock the full potential of their data and accelerate digital transformation.
Organizations looking to modernize their analytics platforms, unify data ecosystems, and enable real-time insights can partner with Embee Software to accelerate their data transformation journey.
Connect with our experts to explore how Microsoft Fabric can help you build a scalable, governed, and insight-driven enterprise.
