Nonprofit

Cloud Migration and Unified Data Analytics Platform

A unified Azure data platform for a nonprofit: automated pipelines, governed data models, separate QA and production, and Power BI self-service reporting.

SectorNonprofit
ClientA regional food-security nonprofit
DeliveredMarch 2024 – December 2025
Built onAzure Data Lake, Azure Data Factory, Azure SQL Database

The challenge

The nonprofit's data about programs, donations, distributions, affiliates and volunteers was spread across separate systems, which made it hard to work efficiently and to measure impact. It needed one trusted source of truth, refreshed often, with strong privacy controls and role-based access because donor and client data is sensitive.

What we did

Delivered by Logic Intelligence®, the team behind every Data Arcade package.

  1. Led program and project management across several workstreams and teams.
  2. Gathered requirements with programs, operations, development, finance and IT.
  3. Built automated ingestion, data models and the security architecture.
  4. Set up CI/CD, separate QA and production environments, and least-privilege access.
  5. Delivered dashboards, self-service analytics and Power Platform automation, with training and documentation.

The solution

A cloud-based unified data analytics platform on Azure data services and Microsoft Power Platform. Automated pipelines bring data from the operational systems into Azure Data Lake and Azure SQL, with Azure Synapse Analytics for analytics. Defined data models, a security architecture with role-based access, and separate QA and production environments form the governance foundation. Power BI, Power Automate, Power Apps and Power Pages deliver dashboards, self-service analytics and automated workflows.

Built with

  • Azure Data Lake
  • Azure Data Factory
  • Azure SQL Database
  • Azure Synapse Analytics
  • Azure DevOps
  • Azure role-based access
  • Power BI
  • Power Automate
  • Power Apps
  • Power Pages

Outcomes

What the client has now.

  • A unified source of truth that improved data accuracy, accessibility and trust across teams.
  • Less manual effort through automated pipelines and CI/CD.
  • Governance and security that support compliance while enabling self-service analytics.

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