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Microsoft Fabric Case Study

Case Study: Building a Unified Data Lakehouse with Microsoft Fabric

A leading enterprise undergoing a major ERP transformation required a centralized data platform to consolidate data from 25+ disparate sources, streamline reporting, and enable real-time decision-making. The organization’s existing landscape was fragmented, with multiple SQL databases, Excel files, and on-premises applications. Manual reporting processes delayed insights, while the leadership team demanded a scalable, secure, and future-ready data platform.

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The Challenge

  • Data scattered across multiple legacy systems.

  • Manual and fragmented reporting causing inefficiencies.

  • Requirement for real-time operational insights integrated with ERP.

  • Need for enterprise-grade security, governance, and scalability.

  • Long-term vision to enable predictive analytics and AI/ML use cases.

The Solution (by Titan Analytics)

Titan Analytics designed and delivered a Microsoft Fabric–based Data Lakehouse as a unified platform for enterprise-wide data consolidation and analytics.

Titan Analytics designed and delivered a Microsoft Fabric–based Data Lakehouse as a unified platform for enterprise-wide data consolidation and analytics.

Microsoft Fabric Lakehouse

Lakehouse (OneLake) with Medallion Architecture (Bronze, Silver, Gold).

Metadata

Driven Ingestion Framework to onboard 25+ data sources quickly.

Power BI Dashboards & Reports

enabling business leaders with real-time insights.

Governance & Security

Role-based access, Row-Level Security (RLS), and end-to-end encryption.

Multi-Environment Deployment

DEV, QA, PROD, and DR for resilience and scalability.

ERP Data Synchronization

ensuring smooth integration between operational systems and ERP.

Delivery Approach

  • Hybrid Agile-Waterfall methodology: Discovery, Development, Testing, UAT, and Go-Live in ~18 weeks.

  • Azure DevOps used for sprint-based delivery and transparent stakeholder collaboration.

  • Offshore delivery model for faster turnaround and cost optimization.

Business Impact

  • Centralized Data Platform eliminating silos.

  • 50% faster time-to-insight through real-time dashboards.

  • 70% reduction in manual reporting efforts.

  • Scalable foundation for predictive analytics, AI, and automation.

     

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