- Industry: Public sector (government agency)
- Capabilities: Data & Analytics Platforms · Technology Advisory · Cloud Security & Identity
At a glance
A government agency engaged ENEXT to modernise its data estate and establish a scalable foundation for analytics, reporting and future AI initiatives. Legacy platforms, fragmented data sources and manual reporting processes were limiting the organisation’s ability to generate insights and meet growing business demands. ENEXT partnered with the agency to define a modern lakehouse architecture, introduce a data product operating model and deliver a pragmatic migration roadmap focused on early business value.
Outcomes
- First production data product delivered within 10 weeks
- Manual statutory reporting processes replaced with governed, self-service data access
- Approximately 60% faster delivery of new analytics use cases
- Enterprise architecture and security endorsement of the target-state platform
- Improved data governance, lineage and access control across critical datasets
- Established a scalable foundation for future analytics and AI initiatives
The challenge
The agency’s data was spread across an ageing warehouse, departmental databases and shared drives. Statutory reporting was largely manual; analytics teams spent most of their time on data preparation rather than analysis; and a growing list of AI ambitions had nowhere to land. A previous attempt to “rebuild the warehouse” had stalled under the weight of its own scope.
The approach
ENEXT facilitated a target architecture aligned to a modern lakehouse pattern, with three principles: a single governed storage layer, domain-aligned data products owned by the business areas that produce them, and a central platform team that provides the paved road rather than gating every change.
We sequenced the migration to deliver a high-value first data product within the first quarter — a statutory reporting dataset that had previously been compiled by hand each month. Governance, lineage and access control were established up-front using the platform’s native tooling rather than bolted on later.
The outcome
The first data product went live in 10 weeks, eliminating a recurring manual reporting effort and giving stakeholders self-service access to the underlying data. Subsequent analytics use cases were delivered roughly 60% faster than the agency’s previous baseline. The target architecture and operating model were endorsed by enterprise architecture and security, providing the foundation for the agency’s broader analytics and AI roadmap.
“ENEXT helped us move beyond a technology discussion and establish a practical operating model that balanced governance, delivery and long-term sustainability. The early wins created confidence across both business and technology stakeholders.”
Director, Data & Insights — Government Agency