Home > Case Studies

Success Stories

A comprehensive hub of insights, expertise, and real-world perspectives spanning the full spectrum of enterprise intelligence.

Big Four Bank Harvests 10M+ Data Elements and Unified Governance Across Divisions on GCP

Challenge

One of Australia’s major banks faced fragmented, non-standardized data governance across divisions, with inconsistent data flows, manual governance processes, no interoperability across data systems, and a data estate that lacked the context and quality needed for AI adoption or regulatory compliance.

Solution

Hoonartek implemented the OneGov Divisional Data Governance Platform on GCP, a centralized PaaS enabling divisions to manage their own Business Glossaries, Reference Data, and Data Quality Rules within an enterprise governance framework, with automated DQ pipelines, metadata harvesting, and event publishing via Google Pub/Sub.

Results

10M+

Data elements harvested across Teradata, BigQuery, Datastage, and DBT

Divisions onboarded with role-based access and governed self-management

1,000+

Metadata change events published monthly for downstream consumption

How a Global Investment Firm Modernized Major Shareholding Disclosure with Full Lineage and Zero Missed Filings

Challenge

A global asset manager’s major shareholding regulatory reporting depended on legacy data preparation running on retiring source systems, with logic sitting in an aging analytics tool that was poorly documented, reliant on key individuals, and disconnected from the firm’s new strategic investment data platforms, creating growing operational and compliance risk with each reporting cycle.

Solution

Hoonartek re-platformed major shareholding reporting onto the firm’s strategic investment data platforms, redeveloping legacy preparation as automated, governed pipelines with full interface lineage, parallel-run reconciliation against the incumbent, and phased delivery using DevFac automated regression testing.

Results

Live

In production and stabilized through parallel run and early-life support.

Phased releases absorbing high change volume without missing go-live.

Full

Interface lineage and audit trail evidencing every disclosed figure.

How a Leading UK Investment Manager Built a Governed Cloud Data Warehouse for Finance and Management Reporting

Challenge

A global asset manager’s finance management information relied on manual spreadsheets and siloed extracts with no governed source of truth, on-premise warehousing could not scale with data volumes, batch pipelines delayed MI and period-end analysis, and business teams depended on IT for every new report.

Solution

Hoonartek built a governed cloud finance data warehouse on Snowflake, integrating 15+ source systems, designing multiple purpose-built data products with automated reconciliation, and making full lineage available so finance teams can trace and validate every figure back to its source, without IT dependency.

Results

15+

Source systems integrated into one governed cloud warehouse.

Single governed source of truth replacing manual spreadsheet MI.

Full

Lineage and governance, every figure traceable to source.

How a Leading Global Asset Manager Unified 15 Source Systems into One Consolidated General Ledger

Challenge

A global asset manager needed a new group general ledger and finance operating model, with finance data spread across approximately 15 disparate systems, customer transactions, employee compensation, expenses, vendor management, timesheets, and external market feeds, all moving manually between systems, slowing month-end close and producing inconsistent reporting.

Solution

Hoonartek established a new consolidated general ledger delivered UK-first, integrating all 15 source systems through automated journal, master data, and reference data extraction with standardized chart-of-accounts mapping and end-to-end interface assurance via DevFac test automation and full data lineage.

Results

Source systems integrated into a single consolidated general ledger.

Consolidated general ledger replacing a fragmented finance estate.

Full

End-to-end lineage and audit traceability from source to ledger.

How a Global Insurer Achieved 65% Faster Insights and 100% PII Coverage on Databricks

Challenge

A leading global insurer’s enterprise data was fragmented across SAP, ServiceNow, Oracle, PostgreSQL, and HR systems, with weak PII governance, limited self-service analytics for business teams, and legacy platform constraints limiting scalability, performance, and AI/ML readiness.

Solution

Hoonartek modernized the enterprise data platform by migrating from Azure Synapse to a Databricks Lakehouse using Medallion architecture, centralizing governance with Unity Catalog, building Gold-layer data marts, and implementing FinOps controls, delivering 100% PII coverage and a scalable AI-ready foundation.

Results

65%

Faster time-to-insight through curated Gold-layer data marts

100%

PII coverage with automated governance, masking, and lineage

Faster query execution with 60% faster batch processing