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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

Leading Pharmaceutical Company Achieves 95% AI Analytics Accuracy at Scale with Genie

Challenge

A leading pharmaceutical organization’s business teams were locked out of ad-hoc analytics, confined to fixed sales MTD and YTD dashboards with no molecule-level or therapy-area analysis capabilit[AB1.1]y, while misaligned [AB2.1]business terminology, unstable KPI definitions, and Genie’s tendency to fabricate plausible but incorrect SQL made reliable self-serve analytics impossible.

Solution

Hoonartek built a governed Snowflake Metric View as a centralized semantic layer, ran prompt-a-thon workshops with medical reps, regional managers, and finance teams to capture and freeze 20+ gold benchmark questions, curated synonym mappings and finance-approved KPI formulas, and built a scoring framework that tracked Genie accuracy from 30–40% to ~92%.

Results

~95%

Genie benchmark accuracy, up from 20–40% at project start

Enterprise-Wide

business users now empowered with self-serve pharma analytics

Single Source

One governed semantic layer replacing scattered SQL, tables, and KPI definitions

How a Leading Investment Firm Cut Release Issues by 80% with Automated Fund Data Distribution

Challenge

A leading investment firm’s fund data was sourced and distributed with fragmented, manually intensive processes with inconsistent data quality creating downstream issues for clients and distribution channels, and no reliable lineage to trace or resolve problems when they occurred

Solution

Hoonartek built an Ab Initio DevFac platform to source, validate, and provision fund data, automating distribution to multiple consumers in their required formats and timings, embedding data-quality rules and reconciliation across the fund data lifecycle, and capturing full lineage in Metadata Hub.

Results

80%

Fewer release issues versus prior cycles

~30%

Saving on build effort with consecutive on-schedule drops

90%

Of feeds covered by automated regression testing

Reliable Investment Data for a Leading Investment Manager’s FactSet Integration Program

Challenge

A leading investment management firm needed reliable integration of FactSet market and reference data into internal investment systems, but manual checks on inbound data were slow and inconsistent, data-quality issues risked flowing into analytics and decision-making, and feed changes could break downstream processes without warning

Solution

Hoonartek integrated FactSet feeds into investment systems using Ab Initio DevFac pipelines, building an automated QA layer to validate completeness, accuracy, and timeliness, with reconciliation, exception handling, and schema-drift monitoring to protect downstream processes

Results

24/7

QA monitoring with zero feed surprises

Zero

Manual checks, replaced by automated controls

High

Data quality, every FactSet feed validated automatically

Tax & Compliance: How a Leading Investment Firm Achieved 100% MTD Compliance with Automated Digital VAT Submissions

Challenge

A leading investment management firm’s UK VAT reporting relied on spreadsheets that were incompatible with HMRC’s Making Tax Digital requirements, with manual preparation that was error-prone, hard to audit, and unsupported by digital record-keeping or direct API submission to HMRC

Solution

Hoonartek built Ab Initio DevFac pipelines to source VAT data from the ERP finance system, automating MTD-compliant VAT return preparation and API submission to HMRC on scheduled runs, with embedded validation controls, independent tax-advisor sign-off, and full digital audit trail via Metadata Hub lineage.

Results

100%

MTD compliant, digital records and API filing meet HMRC rules

Zero

Manual filing, VAT returns prepared and submitted straight-through

Full

Digital audit trail, every figure evidenced in Metadata Hub