Data Platform Modernisation & Discovery Programs
Project Overview
A program of data platform delivery and structured discovery spanning the Enterprise Data Warehouse, Microsoft Fabric, and the QAS Data Platform -turning ambiguous data ambitions into scoped, estimated, executive-ready delivery decisions and secure, supported analytics capability.
Project Impact
Executives funded data initiatives knowing exactly what they were approving, and agencies received modern analytics platforms that arrived scoped, secure, and supportable.
Project Objectives
Assess ingestion of external agency datasets into the Enterprise Data Warehouse
Define business and technical requirements for transitioning Fisheries workflows to Microsoft Fabric
Deliver and support a secure, compliant data platform for QAS
Produce discovery artefacts that enable confident approval decisions
Project Scope
The program combined discovery leadership -requirements workshops, integration constraint analysis, governance definition -with coordinated multi-team platform delivery and transition into ongoing support.
Key Areas
- Enterprise Data Warehouse ingestion discovery for external agency datasets
- Fisheries DME to Microsoft Fabric business requirements capture
- QAS Data Platform infrastructure and analytics delivery
- Support drawdown estimation and operational reporting
Key Achievements
Decision-Ready Discovery
Led stakeholder and requirements workshops defining data scope, integration constraints, and governance requirements, producing artefacts that enabled informed approvals
Fabric Transition Defined
Captured current-state processes and future-state data flows to transition Fisheries data workflows from DME into Microsoft Fabric
Platform Delivered On Schedule
Coordinated Analytics, Hosting, Security, and Hybrid Cloud teams to deliver QAS data platform capability on schedule
Senior Stakeholder Confidence
Maintained strong relationships with senior stakeholders, with transparent reporting over cost, progress, and operational usage
Technologies Used
Key Deliverables
- •Scoped ingestion approaches and delivery estimates
- •Structured business and technical requirements artefacts
- •Delivered data platform capability with support drawdown estimates
- •Cost, progress, and usage transparency reporting
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