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One Foundation Accelerates Data-Driven Decisions with Microsoft Fabric

One Foundation Accelerates Data-Driven Decisions with Microsoft Fabric

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Region
APAC
Industry
Nonprofit
Solutions
Microsoft Fabric

Overview

One Foundation is a New Zealand-based charitable trust committed to empowering communities by funding initiatives across sports, education, culture, and social development. With a growing ecosystem of stakeholders and reporting requirements, the foundation needed a stronger data backbone to ensure compliance, transparency, and timely decision making.

To unlock greater efficiency, governance, and insight-driven operations, One Foundation partnered with Alletec to reimagine its data landscape using Microsoft Fabric.

The Microsoft Fabric Data Platform has transformed our reporting and analytics. We no longer face ERP refresh limitations and now have real-time insights across systems. This foundation positions us to leverage AI and advanced analytics for future community impact.

Kerry Bird, One Foundation
testimonial

Key Challenges

  • No Data Warehouse – Reporting was built directly on sources without a governed, unified platform, leading to fragmented and unreliable outputs. 
  • Non-Optimal Design – Lack of standardized data models resulted in inconsistent and non-scalable dashboards. 
  • Disconnected Systems – Data spread across ERP, SharePoint, Gaming EMS data, and SFTP systems created silos and inefficiencies. 
  • Manual Reporting – Compliance and funding reports required extensive manual intervention, delaying insight generation and limiting agility. 

Solution Highlights

  • OneLake as Central Hub – Unified ERP, SharePoint, Gaming EMS data, and SFTP data into a single, governed repository. 
  • Optimized ERP Pipelines – Built robust pipelines to overcome Business Central API refresh failures, ensuring uninterrupted daily data refreshes. 
  • Gaming XML Integration in Fabric – Automated ingestion directly into Fabric, eliminating the costly Azure SQL VM and reducing third-party dependency. 
  • Semantic Data Models with Direct Lake – Delivered standardized, business-ready models for instant, reliable Power BI reporting. 

Impact at a Glance

Cost Efficiency
Reduced 40% costs by eliminating SQL VM & third-party dependencies
Faster Insights
Enabled 60% quicker reporting with automated pipelines
Future-Ready Data
Built a governed, AI-ready data platform with standardized models
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