DataBrain Analytics

Cross-Platform Data Migration Building a Centralized SQL Server Repository

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Reduction in Reporting Time
0 %
Operational Efficiency
0 %
Decrease in Data Errors
0 %

Problem Statement

  • The Client , Christel House International , a global nonprofit organization had data
    about key organizational entities (students ,teachers, finance ,donations ,etc.) was
    fragmented across multiple internal systems.
  • Limited Decision-Making Capabilities: Business leaders lacked a centralized,
    interactive reporting interface, relying on IT-driven, on-demand reports.
  • Manual ETL Processes: The existing batch-driven, manual ETL workflows caused
    delays, inefficiencies, and errors, hindering real-time analytics.

Our Solution

  • Data Warehouse and Modeling: Built an Enterprise Data Warehouse (EDW) on SQL Server with a multi-layer setup: Source , Staging and Production.
  • Business Intelligence and Reporting: Deployed Power BI Report Server to support self-service and real-time reporting. 
  • Automation & Optimization: Employed SQL Server Agent to automate ETL tasks. Enhanced performance through query tuning, indexing, and partitioning.

Impact

  • Data Warehouse and Modeling: Built an Enterprise Data Warehouse (EDW) on SQL Server with a multi-layer setup: Source , Staging and Production.
  • Business Intelligence and Reporting: Deployed Power BI Report Server to support self-service and real-time reporting. 
  • Automation & Optimization: Employed SQL Server Agent to automate ETL tasks. Enhanced performance through query tuning, indexing, and partitioning.
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