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

Unified Divisional Data Governance via the OneGov Data Platform

Challenge

A Big Four Australian bank faced fragmented governance standards, compliance exposure from manual validation, and redundant infrastructure costs as each division independently managed its own data capabilities.

Solution

Hoonartek implemented the OneGov Data Platform – a metadata-driven, multi-tenant PaaS architecture providing centralized governance, role-based access, and automated validation across all banking divisions.

Results

Unified

Governance oversight across all banking divisions

Lowered

Infrastructure costs via platform consolidation

Audit-Ready

End-to-end data lineage for regulatory reporting

Achieving 99.9% Decision Consistency via Centralized ACTICO Credit Decisioning Engine

Challenge

One of India’s largest NBFCs struggled with fragmented credit policies across legacy systems following a major acquisition, leading to inconsistent loan decisions, IT bottlenecks for rule changes, and governance gaps in a regulated lending environment.

Solution

Hoonartek deployed the ACTICO Decision Management Platform, conducting a full rule rationalization exercise and establishing a governed Business Logic Repository with Maker-Checker workflows for business-user-led rule management.

Results

99.9%

Decision consistency across all loan products

100%

Auditability with full version control on every rule

Zero

IT dependency for standard business rule changes

How a Leading Logistics Company Enabled Self-Service Analytics and Automated POD Verification on GCP

Challenge

A leading B2B and B2C logistics company ran analytics on Amazon Redshift accessible only to SQL specialists, processed Proof of Delivery documents entirely manually, had no unified view across three siloed operational datasets, and lacked centralized governance or audit traceability across queries and document workflows.

Solution

Hoonartek built two AI agents on GCP: an NLP Analytics Bot enabling plain-English querying of AWB profitability and lane-level data in BigQuery, and a POD Verification Agent using Document AI and OCR to automate extraction, validation, confidence scoring, and exception routing, with full IAM governance and audit logging across both workstreams.

Results

300

PODs processed in the pilot with 80% OCR accuracy target

Natural language questions answered without SQL expertise

Zero

Manual SQL required for business users to query operations data

Global Semiconductor Manufacturer Saves 150+ Engineer Hours Weekly with AI-Powered Root Cause Intelligence

Challenge

A leading semiconductor materials supplier was losing approximately 187 engineering hours per week to manual OCAP root cause analysis, with engineers reviewing hundreds of process parameters per case through intuition-based methods, taking 30–60 minutes per case across ~250 weekly events.

Solution

Hoonartek built an AI-powered OCAP intelligence platform on GCP using BigQuery, Vertex AI, and a multi-agent architecture, automating data ingestion, ML-driven root cause diagnosis, and plain-language explanation of results, reducing per-case analysis from 45 minutes to minutes.

Results

80–90%

Of OCAP analysis automated end-to-end

150+

Engineer hours saved per week

Minutes

Per case analysis time, down from 30–60 minutes

A Leading NBFC Reduces New Business Line Onboarding from Weeks to 24 Hours with GCP

Challenge

A major non-banking financial company faced 1–2 day data lag from legacy batch pipelines, causing delayed loan decisions, inconsistent data views across CRM, LOS, LMS, and Collections, stale regulatory reports, and new Line of Business onboarding taking weeks to months.

Solution

Hoonartek implemented an enterprise Change Data Capture (CDC) platform on GCP using open-source Debezium and Apache Kafka, with purpose-built accelerators automating connector generation, schema reconciliation, and source onboarding, replacing brittle batch ETL with near-real-time data propagation across 33 enterprise applications.

Results

Enterprise applications onboarded to the CDC platform

24 hours

New Line of Business go-live time, down from weeks

2,000+

Live datasets in near real-time