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Success Stories

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

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 Leading Investment Firm Cut False Positives by 40% with Whole-Ecosystem Surveillance

Challenge

A global asset manager’s financial crime monitoring relied on fragmented, manual controls with no single view across customers, employees, contractors, and vendors, resulting in high false-positive rates that overwhelmed investigators, inconsistent data quality undermining alert integrity, and increasing regulatory expectations for AML, sanctions, and fraud screening.

Solution

Hoonartek screened the entire ecosystem, customers, employees, contractors, and vendors, through a single financial crime platform, bringing sanctions and PEP screening to a daily watchlist refresh cycle, fixing data quality at source across all feeding systems, and delivering through DevFac test automation to shorten regression cycles.

Results

360°

Whole-ecosystem screening across all parties.

~40%

Reduction in false positives, freeing investigators for genuine risk.

Daily

Sanctions and PEP watchlist refresh for always-current screening.

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 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

How a Leading E-Commerce Logistics Platform Cut Cloud Costs by 40%+ by Migrating to BigQuery

Challenge

A leading Indian e-commerce logistics platform processing 2M+ shipments daily faced escalating and unpredictable cloud costs from a fragmented 11-tool AWS and Snowflake stack, with no unified governance, 1,680+ SQL queries requiring dialect translation, and multi-source ingestion complexity across MySQL, MongoDB, Postgres, and Cassandra.

Solution

Hoonartek executed a full GCP migration across 9 workstreams – the entire analytics estate onto BigQuery, Cloud Composer, Dataflow, and Dataproc — translating 1,937+ SQL objects, migrating ~14 TB of data, and repointing 210 dashboards across Metabase and Klipfolio with zero business disruption.

Results

40%+

Cost reduction versus the legacy AWS and Snowflake stack

1,937+

SQL objects migrated across 9 workstreams

~14 TB

Data migrated including historical and live CDC

How a Leading Insurer Resolved 80%+ Queries Automatically and Grew NPS by 60%

Challenge

A leading Indian insurer struggled to manage high volumes of customer interactions across web, call center, and offline channels, resulting in inconsistent service experiences, heavy agent workloads, and no unified view across customer journeys.

Solution

Hoonartek deployed a Kore.ai-powered Omnichannel AI Assistant covering 25 Sales and Service journeys across Web, WhatsApp, and Voice, with 53+ API integrations, a unified knowledge layer, and a real-time Agent Assist Console.

Results

80%+

Repetitive queries handled without agent intervention

60%

Increase in Net Promoter Score (NPS)

25%

Higher sales conversion rate

Marine Operator Achieves 5X Fewer Incidents and 3X Better Route Efficiency with Data Intelligence

Challenge

A marine logistics operator faced fragmented planning processes for route optimization, maintenance scheduling, crew rostering, and fuel management, with limited real-time visibility into vessel sensor data and fleet asset health.

Solution

Hoonartek built a cloud-based fleet intelligence platform on Snowflake, deploying ML models for predictive maintenance and fuel consumption and offering the solution as an internal tool as well as a SaaS product for third-party fleet operators.

Results

Improvement in route planning efficiency and cost per nautical mile

Reduction in safety and compliance incidents

30%

Uplift in port turnaround time, on-time delivery, and anchorage efficiency

How Agentic AI Cut Shipment Exception Resolution Time by 35% and Reduced Manual Tracking Effort by 40%

Challenge

A logistics operator faced limited visibility into shipment disruptions across carriers, warehouses, and logistics partners, with manual exception handling creating slow response times, missed SLAs, and fragmented coordination between operations and customer service teams.

Solution

Hoonartek deployed Agentic AI to continuously monitor shipment milestones, carrier feeds, ETA changes, and warehouse events, enabling automated detection of exceptions and AI-driven root cause analysis with next-best-action recommendations – while keeping humans in control of critical decisions.

Results

25–35%

Reduction in shipment exception resolution time

10–18%

Improvement in on-time delivery performance

30–40%

Reduction in manual tracking effort for operations teams

Digital-Native Platform Boosts Conversions by 18% and Cut User Decision Time by 35%

Challenge

A digital-native e-commerce platform struggled with fragmented personalization across channels, leading to inconsistent user experiences, low engagement, high decision-making effort for users, and an inability to scale AI-driven recommendations under privacy and governance constraints.

Solution

Hoonartek consolidated user signals into Delta Lake, built a governed User Preference and Context Profile using Unity Catalog, and leveraged LLMs, Vector Search, and MLflow to deliver context-aware, next-best-action recommendations with near-real-time personalization orchestrated across all business systems.

Results

10–18%

Higher engagement and conversion through personalized guidance

20–35%

Reduction in user effort and decision time

25-40%

Faster personalization cycles via real-time signals and feedback loops

How AI-Powered Invoice Processing Slashed Loyalty Crediting Time by 75%

Challenge

A retail loyalty platform faced manual invoice verification delays, growing invoice volumes with seasonal spikes, fraudulent and duplicate submissions, inconsistent image formats across submissions, and limited visibility into processing failures, all undermining loyalty point crediting and customer satisfaction.

Solution

Hoonartek built an AI-powered invoice processing pipeline combining OCR and LLM reasoning with a confidence layer, deterministic and fuzzy dedupe fraud checks, and automated downstream integration with loyalty systems via audit-ready APIs.

Results

~13,000

Invoices processed per month with peak-time scalability

~95%+

Extraction accuracy with 100% invoice coverage

~75%

Reduction in invoice processing time from hours/days to minutes

How Unified Funnel Intelligence Drove 20% Higher Conversions and Cut Marketing Spend by 25%

Challenge

A digital-native business faced fragmented customer journey data across marketing, CRM, digital, contact center, and dealer ecosystems, with unexplained conversion drop-offs, inconsistent attribution, and no predictive visibility into which leads were likely to convert.

Solution

Hoonartek unified funnel events from impression to sale in Delta Lake, created a Golden Lead ID through identity resolution, built funnel KPIs and cohorts in Databricks SQL, and deployed MLflow for lead scoring and drop-off risk prediction with real-time anomaly alerting and Unity Catalog governance.

Results

10–20%

Higher lead-to-conversion rates through better funnel visibility

15–25%

Lower wasted marketing spend through smarter attribution

25–40%

Faster decision-making with near real-time funnel insights

How Agentic AI Reduced Transportation Costs by 15% and Accelerated Dispatch Planning by 25%

Challenge

A logistics operator’s dispatch teams relied on static planning rules and manual decision-making, resulting in poor route and load efficiency, empty miles, underutilized vehicles, and an inability to replan dynamically when urgent orders, breakdowns, or congestion occurred.

Solution

Hoonartek implemented Agentic AI to continuously evaluate orders, vehicle capacity, delivery commitments, and route constraints generating and refining delivery plans dynamically based on live traffic and operational changes, with explainable recommendations and automatic exception surfacing for planner approval.

Results

8–15%

Reduction in transportation cost per shipment

10–18%

Reduction in empty miles through better route and load planning

20–25%

Faster planning and replanning versus manual dispatch

Major Bank Achieves 98% Faster Insights and a 7% Uplift in Cross-Sell by Modernizing Its Data Platform

Challenge

A large financial institution faced data fragmented across 120+ systems, 1.5 petabytes of high-risk PII lacking proper governance, manual controls eroding compliance confidence, and reduced trust in data due to quality issues and inconsistent definitions.

Solution

Hoonartek designed and built a modern Enterprise Data Platform on Lakehouse architecture, connecting 120+ data systems across finance, risk, and marketing, standardizing data with medallion architecture, implementing comprehensive governance and PII protection aligned to DPDP, and creating a unified Customer 360 view.

Results

98%

Faster insight delivery, down from 30 hours to under 45 minutes

1,200+

Dashboards and reports built and supported

Uplift in cross-sell and upsell from Customer 360

Financial Institution achieves 98% Faster Insights and Full DPDP Compliance 9 Months Ahead of Schedule

Challenge

A major financial institution managed data spread across core banking, CRM, risk, collections, and marketing across 120+ source systems and ~1.5 PB of data, with 2,200+ high-risk PII elements to protect and weak governance increasing compliance risk under DPDP while eroding trust in data quality.

Solution

Hoonartek built an enterprise Databricks Lakehouse supporting batch, CDC, API, file, and streaming ingestion, standardized data with Bronze–Silver–Gold layers, implemented MDM and golden records, and set up comprehensive governance, lineage, audit, and PII protection aligned to DPDP — completed 9 months ahead of schedule.

Results

98%

Faster data insight delivery — from 30 hours to 45 minutes or less

1,200+

Dashboards and reports built and supported

15 months

Full platform implementation completed 9 months ahead of schedule

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

Slashing OpEx by 60% through Automated Data Warehouse Operations & Managed Services

Challenge

One of the world’s largest stock exchanges faced critical SLA breaches and performance bottlenecks across its petabyte-scale Greenplum ecosystem, threatening the timeliness of regulatory reporting and MIS delivery.

Solution

Hoonartek established a 24×7 Integrated Command Center and ITIL-based managed services framework, deploying a 30-person team to automate operational workflows and hygiene across a 3.1 Petabyte data warehouse.

Results

60%

Reduction in Operational Expenditure (OpEx)

~85%

Faster data loading - from 6+ hours to under 45 minutes

Improvement in concurrent query performance

Telecommunications: 75% Faster Cost Collection via Enterprise Costing & RDM Integration

Challenge

A leading Middle Eastern telecom provider struggled with fragmented cost data spread across hundreds of departments, making accurate service-level costing impossible and extending collection cycles to weeks.

Solution

Hoonartek deployed a centralized Reference Data Management platform to automate cost driver collection, replace manual follow-ups, and establish a governed single source of truth accessible via REST APIs.

Results

75%+

Reduction in cost collection cycle time

Unified

Governance over fragmented cost and reference data

Zero

New software licenses required

Telecommunications: Accelerating Monthly Close via a Centralized RDM Platform

Challenge

A major Middle Eastern telecom provider faced delayed financial reporting and inaccurate service-level costing due to cost and reference data fragmented across Network, IT, Finance, and Shared Services.

Solution

Hoonartek implemented a Centralized RDM Platform creating a governed single source of truth for all cost and service data, with automated collection workflows and a near-real-time REST API integration layer.

Results

Accelerated

Monthly financial close cycle

Precise

Service-level costing for improved margin management

Unified

Single source of truth across all divisions

Banking & Financial Services: Single Version of Truth via Multi-Platform Metadata Synchronization

Challenge

A Big Four Australian bank faced a growing governance gap as divergent business glossaries across divisions and manual metadata replication across Snowflake, Teradata, and Databricks – eroded data trust and reporting accuracy.

Solution

Hoonartek deployed the OneGov Platform to automate continuous metadata synchronization across all platforms, with near-real-time DQ tracking via Google Pub/Sub and Ab Initio and semantic discovery for unified terminology.

Results

Automated

Sync across Snowflake, Teradata & Databricks

Near-Real-Time

Data quality tracking across enterprise platforms

Unified

Governance language across all divisions

Banking & Financial Services: Near-Real-Time Data Quality Visibility via Metadata Hub

Challenge

A Big Four Australian bank was unable to centrally monitor data quality due to regulatory restrictions on source data access, leaving quality breaches undetected until they impacted critical downstream reporting.

Solution

Hoonartek built an automated pipeline to ingest external DQ results into a central Metadata Hub, with threshold-based alerting and a unified dashboard mapping quality metrics to business impact.

Results

Near-Real-Time

Automated DQ result ingestion and visibility

Proactive

Threshold-based alerting for early breach detection

Audit-Ready

End-to-end lineage transparency for regulators

Banking & Financial Services: 99.99% Uptime via Scalable AIDP Multi-Node Architecture

Challenge

A Big Four Australian bank’s single-node data infrastructure created critical availability risks, causing performance degradation at peak load and leaving the bank exposed to total platform downtime from any hardware failure.

Solution

Hoonartek engineered a scalable AIDP Multi-Node Architecture with automated High Availability failover and intelligent load balancing, eliminating single points of failure across the bank’s critical data pipelines.

Results

99.99%

Uptime through multi-node redundancy

Zero

Business disruption during peak workload spikes

Automated

Failover recovery with minimal manual intervention

Banking & Financial Services: 30% Infrastructure Cost Reduction via Automated Interface Governance

Challenge

A Big Four Australian bank managed over 1,000 Interface Agreements through manual spreadsheets, leading to ghost data, version control failures, redundant storage costs, and significant regulatory compliance exposure.

Solution

Hoonartek implemented the DataTrail FinOps Module to digitize the entire Interface Agreement lifecycle, automating ownership mapping and semantic discovery to identify redundant datasets inflating storage spend.

Results

30%

Potential reduction in infrastructure storage costs

1,000+

Interface Agreements digitized and governed

E2E

Traceability satisfying regulatory audit requirements

Banking & Financial Services: Real-Time Observability via Centralized Splunk Log Monitoring

Challenge

A Big Four Australian bank operated with fragmented log data across servers, applications, and middleware, leaving it unable to detect incidents proactively and creating regulatory risk from inadequate audit log retention.

Solution

Hoonartek implemented an end-to-end Splunk-based logging framework with automated log ingestion, standardized indexing, and real-time custom alerting dashboards across the bank’s entire infrastructure estate.

Results

Real-Time

Alerting across all servers, apps & network layers

Unified

Visibility replacing fragmented log management

Automated

Log retention for regulatory audit readiness

Banking & Financial Services: Unified Divisional Data Governance via the OneGov 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

NBFC: Achieving 99.9% Decision Consistency via Centralized ACTICO Credit Decisioning

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

Enterprise Lakehouse Transformation: Indian Bank Accelerates Insights by 98% While Strengthening Compliance

Challenge

A leading bank’s competitive advantage was impacted due to data scattered across 120+ systems, creating slow insights and compliance risks.

Solution

Hoonartek helped the bank build a highly secure data platform for enterprise intelligence and regulatory compliance, resulting in faster insights and improved compliance.

Results

98%

faster insight delivery

1200+

dashboards built and supported

improvement in cross sell and upsell