{"id":1049,"date":"2026-05-30T05:51:53","date_gmt":"2026-05-30T05:51:53","guid":{"rendered":"https:\/\/enext.com.au\/pubweb\/?p=1012"},"modified":"2026-06-12T17:16:17","modified_gmt":"2026-06-12T17:16:17","slug":"case-study-data-platform-modernisation-in-the-public-sector-2","status":"publish","type":"post","link":"https:\/\/enext.com.au\/pubweb\/case-study-data-platform-modernisation-in-the-public-sector-2\/","title":{"rendered":"Case study: Data platform modernisation in the public sector"},"content":{"rendered":"<ul>\n<li><strong>Industry:<\/strong> Public sector (government agency)<\/li>\n<li><strong>Capabilities:<\/strong> Data &amp; Analytics Platforms \u00b7 Technology Advisory \u00b7 Cloud Security &amp; Identity<\/li>\n<\/ul>\n<h3 id=\"at-a-glance\">At a glance<\/h3>\n<p>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&#8217;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.<\/p>\n<h3>Outcomes<\/h3>\n<ul data-spread=\"false\">\n<li>First production data product delivered within 10 weeks<\/li>\n<li>Manual statutory reporting processes replaced with governed, self-service data access<\/li>\n<li>Approximately 60% faster delivery of new analytics use cases<\/li>\n<li>Enterprise architecture and security endorsement of the target-state platform<\/li>\n<li>Improved data governance, lineage and access control across critical datasets<\/li>\n<li>Established a scalable foundation for future analytics and AI initiatives<\/li>\n<\/ul>\n<h3 id=\"the-challenge\">The challenge<\/h3>\n<p>The agency&#8217;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 &#8220;rebuild the warehouse&#8221; had stalled under the weight of its own scope.<\/p>\n<h3 id=\"the-approach\">The approach<\/h3>\n<p>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.<\/p>\n<p>We sequenced the migration to deliver a high-value first data product within the first quarter \u2014 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&#8217;s native tooling rather than bolted on later.<\/p>\n<h3 id=\"the-outcome\">The outcome<\/h3>\n<p>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&#8217;s previous baseline. The target architecture and operating model were endorsed by enterprise architecture and security, providing the foundation for the agency&#8217;s broader analytics and AI roadmap.<\/p>\n<blockquote>\n<p data-start=\"4878\" data-end=\"5122\">&#8220;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.&#8221;<\/p>\n<p data-start=\"5127\" data-end=\"5176\" data-is-last-node=\"\"><strong data-start=\"5127\" data-end=\"5176\" data-is-last-node=\"\">Director, Data &amp; Insights \u2014 Government Agency<\/strong><\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Industry: Public sector (government agency) Capabilities: Data &amp; Analytics Platforms \u00b7 Technology Advisory \u00b7 Cloud Security &amp; Identity At a glance A government agency engaged ENEXT to modernise its data estate and establish a scalable&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-1049","post","type-post","status-publish","format-standard","hentry","category-case-studies"],"_links":{"self":[{"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/posts\/1049","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/comments?post=1049"}],"version-history":[{"count":2,"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/posts\/1049\/revisions"}],"predecessor-version":[{"id":1085,"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/posts\/1049\/revisions\/1085"}],"wp:attachment":[{"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/media?parent=1049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/categories?post=1049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/enext.com.au\/pubweb\/wp-json\/wp\/v2\/tags?post=1049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}