InsuranceAML & ComplianceData Engineering
End-to-End AML Data Pipeline — 9M Customer, 14M Policy Insurance Operator
A major insurance operator had no data pipeline to feed its AML platform. CALIGO built the full pipeline from scratch — unifying customers across 4 source systems with 1,900 daily data quality checks.
TelecomData QualityMaster Data Management
Data Quality & Cross-System Hierarchical Consistency
Customer, billing, and GSM relationships were inconsistent across CRM, billing, and charging systems. CALIGO designed a cross-system DQ & Governance framework resolving 7K+ customer and 250K+ account inconsistencies.
InsuranceData WarehouseDataOps
DWH Optimisation — End-to-End Load Automation & 80% Performance Gain
Daily data loading took up to 15 hours, delaying reporting and analytics. CALIGO implemented a fully automated, dependency-driven pipeline cutting load time to 3 hours — an 80% improvement.
InsuranceRisk ReportingPower BI
Customer Protection Standards Reporting Platform — 18 KRIs, 3 Lines of Business
A global insurance operator had no mechanism to measure or report customer protection standards. CALIGO delivered an end-to-end CPS reporting platform covering 18 KRIs across 3 Lines of Business.
TelecomData GovernanceMaster Data Management
Building a Master Data-Driven Data Governance Features
Designed and implemented a master data-driven governance framework across telecom data domains — establishing ownership, lineage, and data quality controls at enterprise scale.
InsuranceData PrivacyData Governance
Data Privacy Remediation — Sensitive Data Classification Across 3 Databases
19,000 field classifications — 78% false positives. CALIGO validated 4,000 genuinely sensitive fields and restored access on 15,000 others across 3 databases.
BankingAI / MLModel Validation
AI Model Validation Framework — Standardised, Scalable, End-to-End
A leading private bank lacked a standardised AI model validation framework. CALIGO designed an end-to-end validation workflow covering requirement definition, data collection, testing, and automated reporting.
TelecomAuditingData QualityData Monitoring
Migration Auditing & Data Quality
A large-scale billing and charging system transformation required end-to-end migration auditing — cleansing legacy data, validating integrity, and monitoring quality in real time throughout the migration lifecycle.
92%
Waves with DQ Findings