The Client
One of Australia’s four major banking groups, this institution manages a sprawling data landscape across consumer, institutional, and wealth management divisions. In a regulatory environment where data provenance, lineage, and ownership are subject to increasing scrutiny, the bank required a governance model that could enforce enterprise standards consistently across all divisions – without imposing a one-size-fits-all operational structure that would impede divisional agility.
The Challenge
Fragmented data practices across divisions had created compounding operational risks and significant technical debt:
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Inconsistent Governance Standards:
Data management practices varied widely across business units, producing unclear ownership, reduced trust in enterprise data, and an uneven compliance posture.
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Compliance & Audit Exposure:
Manual validation and reporting processes created material regulatory exposure, with limited ability to demonstrate end-to-end data provenance on demand.
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Infrastructure Redundancy:
Each division independently maintained its own data capabilities, generating duplicated costs and management complexity across the technology estate.
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Limited Data Discoverability:
A lack of transparency in data provenance and lineage made it difficult for teams to locate, validate, and reuse data assets across the organization.
The Impact
- Audit-Ready Unified Governance oversight across all banking divisions.
- Lowered Infrastructure costs by eliminating redundant divisional platforms.
- Audit-Ready End-to-end data lineage and provenance for regulatory reporting.
The Solution
Hoonartek implemented the OneGov Data Platform – a centralized, metadata-driven, multi-tenant architecture built to balance divisional agility with enterprise-level governance. The platform was designed as a PaaS solution, allowing individual divisions to maintain operational independence while adhering to enterprise data standards enforced by the central governance team.
Standardized role-based access controls, automated validation processes, and structured divisional data management workflows replaced the fragmented manual practices that had previously created compliance risk. Semantic mapping was introduced to improve data discoverability, significantly reducing the time teams spent searching for and validating assets. The single-platform model eliminated the need for separate divisional infrastructure, consolidating the technology estate and reducing ongoing operational overhead.
Key Benefits
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Empowered Divisions:
Individual business units gained access to up-to-date governance tooling without the burden of maintaining their own platform infrastructure.
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Standardized Accountability:
Structured data management workflows established clear, auditable ownership across all divisional data assets.
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Improved Data Trust:
Consistent, centrally governed data provides a reliable foundation for executive decision-making and regulatory reporting.
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Streamlined Operations:
Central monitoring of a single platform reduced operational overhead and simplified ongoing maintenance.
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Future-Proof Architecture:
The scalable PaaS model is built to grow alongside the bank’s expanding digital ambitions.