Trinity Partners
How You Can Define Trinity
Cathay United Bank
Customer Background
Cathay United Bank, Taiwan’s largest privately-owned bank by branch network, leads in securities settlement, credit cards, and wealth management, consistently excelling in consumer finance through innovation and excellent service.
Its strong IT team processes hundreds of billions of daily transactions, efficiently handling data from multiple sources to ensure reliable, timely access for all business units and digital services.
Customer Challenge
• Highly diverse data sources that existing tools couldn’t support.
• Fragmented ETL scheduling with no unified interface, causing high complexity.
• Limited process control and dependencies increased workflow complexity.
• Lack of strong redundancy and testing environments reduced reliability.
• To support rapid digital growth, Cathay United Bank needed a more stable, secure, and visual data integration platform.
Solution
• Unified integration and scheduling by implementing Trinity ETL and JCS.
• Built ETL workflows to populate Oracle and Teradata warehouses for accurate decision-support reports.
• Centralized ETL scheduling by migrating all jobs to Trinity.
• Deployed Trinity across environments for automation, security, and high availability.
• Implemented Trinity Standby Server for full redundancy and seamless failover.
• Added UAT and SAT environments to boost development efficiency, validation, and production readiness.
• Leveraged JCS scheduling and its graphical interface to simplify workflows and streamline monitoring.
Outcomes
• Centralized ETL workflows, reducing maintenance complexity.
• Batch job failures reduced by over 70%, significantly improving success rates.
• Reduced MTTR by 60% with fewer manual interventions.
• Reduced SLA risks, allowing IT to focus on innovation and business support.
• Boosted system availability with Standby Server redundancy, meeting financial industry standards.
• Enhanced development efficiency and validation with UAT/SAT, reducing production risks and improving delivery quality.
Why Trinity?
Unified integration: Drag-and-drop workflow design, scheduling, and monitoring in a single tool.
Advanced scheduling: JCS provides process control, dependency, and group-based scheduling, addressing limitations of legacy tools.
Security & High Availability: Equipped with Standby Server redundancy, ensuring business continuity.
Robust testing environments: UAT/SAT environments enhance development efficiency and validation completeness.
Localized support: Strong implementation partners in Taiwan deliver fast deployment, customization, and ongoing service.
Customer Quote
Unable to get
Visuals / Proof
Missing: No diagrams, before/after process visuals, or KPI highlights (e.g., “reporting ↓90% time | uptime ↑99.9%”).
Hua Nan Bank
Customer background
Hua Nan Bank, with nearly a century of history in Taiwan and a global branch network, processes massive amounts of transactional and file-based data daily. Its Enterprise Data Warehouse (EDW) must be updated every day to supply downstream systems and analytics.
Customer Challenge
• The bank’s legacy environment, built on outdated Informatica and an old job scheduling system, no longer met modern business and digitalization needs. Challenges included:
• Limited functionality and poor scalability
• Lack of robust scheduling and dependency management
• Insufficient metadata and data lineage capabilities
• Frequent data processing errors and rising maintenance risks required modernization without disrupting daily EDW updates or banking operations.
Solution
Hua Nan Bank replaced Informatica and the legacy scheduler with Trinity Enterprise, deploying:
• Trinity ETL — a cross-platform data integration engine with drag-and-drop development.
• TrinityJCS — centralized scheduling and dependency management for job orchestration and monitoring.
• Trinity Metaman — metadata management with automated lineage and impact analysis for governance.
• NetPro’s team managed migration, mapping, and validation of thousands of jobs, ensuring smooth cutover and stable operations.
Outcomes
• Successful migration of thousands of jobs from Informatica to Trinity, ensuring streamlined scheduling and dependency execution.
• Reduced operational risk with lineage and impact analysis, lowering error rates during data changes.
• Improved system reliability and faster response times through localized professional support and monitoring.
Why Trinity?
• Unified platform: ETL + Job Control + Metadata management in one ecosystem.
• Stronger governance: Automated lineage and impact analysis to support audits and regulatory compliance.
• Localized expertise: NetPro’s on-site support ensures quick response.
• Engineer-friendly: Interface and design optimized for Taiwan IT teams, reducing the learning curve and maintenance overhead.
Customer Quote
Unable to get
Visuals/Proof
Missing: No diagrams, before/after process visuals, or KPI highlights (e.g., “reporting ↓90% time | uptime ↑99.9%”).
Allianz Taiwan Life Insurance
Customer background
• Company: Allianz Taiwan Life Insurance, established in 1995, will celebrate its 30th anniversary in 2025. It is one of the world’s leading brands in life insurance and financial services.
• Background: During digital transformation, AI adoption, and cloud deployment, Allianz Taiwan Life needed a stable data integration solution to manage massive datasets across policy, customer, investment, and risk domains.
Customer Challenge
• Complex data integration: Business and customer data were spread across on-prem SQL Server and Oracle systems, complicating efficient transformation and sharing.
• Lack of automation: Processes depended on manual operations or scripts, with high error risks and limited scheduling and monitoring.
• Limited scalability: On-prem data hindered cloud migration, slowing AI model training and predictive applications.
Solution
• On-prem to cloud: Converted SQL/Oracle data to CSV, scheduled via JCS, and uploaded to Microsoft Azure.
• AI & business apps: Developed Azure data models using AI/ML for customer analysis, risk assessment, and demand forecasting.
• Feedback loop: Results fed back to on-prem databases via Trinity workflows, ensuring seamless business integration.
• Key features: Trinity offered visual ETL design, reliable scheduling, cross-system support, and fewer manual errors.
Outcomes
• Process automation: Fully automated data transformation, upload, model output, and feedback with minimal manual intervention.
• Efficiency improvement: Cut time for daily reports and model analyses by an estimated 30–60%.
• Data accuracy: Improved cross-system data stability, achieving ~99% SLA compliance.
• Business value: Delivered faster insights for precision marketing, CRM, and risk early-warning.
Why Trinity?
• Highly integrated: More than just an ETL tool — a full data lifecycle management platform.
• Stability and flexibility: Supports multiple sources and formats, ensuring smooth on-premise and cloud data flows.
• Graphical design: Reduces development and maintenance costs, enabling faster deployment.
• Compliance-oriented: Complete logging, scheduling, and lineage tracking to meet the stringent regulatory requirements of the financial insurance industry.
Customer Quote
Unable to get
Visuals/Proof
Missing: No diagrams, before/after process visuals, or KPI highlights (e.g., “reporting ↓90% time | uptime ↑99.9%”).
Taiwan Mobile
Customer background
Taiwan Mobile, one of the top three telecom operators in Taiwan, facing rapid data growth and increasing demands in mobile commerce, Big Data, and Open Data.
Customer Challenge
The existing ETL and scheduling platform (Teradata Automation / ETL Lite) could no longer meet requirements for:
• Collecting and processing unstructured data.
• Handling large-scale, high-frequency data processing.
• Integrating multiple brands within the group.
• Reducing annual maintenance costs.
• Facing intense competition, Taiwan Mobile needed faster insights to identify and engage high-value customers in real time.
Solution
• Implemented Trinity ETL as the new integration platform, replacing Teradata Automation (ETL Lite).
• NetPro’s Trinity consulting team provided migration planning, architecture design, scheduling integration, and custom development to ensure smooth transition.
Outcomes
• Performance Improvement: Overall data processing efficiency improved by over 50%.
• Simplified IT environment: Planned integration of other brand ETL tools to unify the environment and reduce annual OPEX.
• Enhanced unstructured data usage: Leveraging Trinity ETL to bring online/web data into the lifecycle for mobile commerce and customer behavior analysis.
Why Trinity?
• Local expertise & support: Developed and supported locally in Taiwan, with strong professional services.
• Integrated scheduling + ETL: Built-in JCS scheduling eliminates the need for third-party tools.
• Big Data & unstructured data ready: Supports Hadoop, unstructured sources, and hybrid RDBMS/Big Data environments.
• Proven performance & flexibility: Delivered over 50% performance improvement and strong customization capabilities.
Customer Quote
Unable to get
Visuals/Proof
Missing: No diagrams, before/after process visuals, or KPI highlights (e.g., “reporting ↓90% time | uptime ↑99.9%”).
Chunghwa Telecom
Customer background
Taiwan Mobile, one of the top three telecom operators in Taiwan, facing rapid data growth and increasing demands in mobile commerce, Big Data, and Open Data.
Customer Challenge
The existing ETL and scheduling platform (Teradata Automation / ETL Lite) could no longer meet requirements for:
• Collecting and processing unstructured data.
• Handling large-scale, high-frequency data processing.
• Integrating multiple brands within the group.
• Reducing annual maintenance costs.
• Facing intense competition, Taiwan Mobile needed faster insights to identify and engage high-value customers in real time.
Solution
• Implemented Trinity ETL as the new integration platform, replacing Teradata Automation (ETL Lite).
• NetPro’s Trinity consulting team provided migration planning, architecture design, scheduling integration, and custom development to ensure smooth transition.
Outcomes
• Performance Improvement: Overall data processing efficiency improved by over 50%.
• Simplified IT environment: Planned integration of other brand ETL tools to unify the environment and reduce annual OPEX.
• Enhanced unstructured data usage: Leveraging Trinity ETL to bring online/web data into the lifecycle for mobile commerce and customer behavior analysis.
Why Trinity?
• Local expertise & support: Developed and supported locally in Taiwan, with strong professional services.
• Integrated scheduling + ETL: Built-in JCS scheduling eliminates the need for third-party tools.
• Big Data & unstructured data ready: Supports Hadoop, unstructured sources, and hybrid RDBMS/Big Data environments.
• Proven performance & flexibility: Delivered over 50% performance improvement and strong customization capabilities.
Customer Quote
Unable to get
Visuals/Proof
Missing: No diagrams, before/after process visuals, or KPI highlights (e.g., “reporting ↓90% time | uptime ↑99.9%”).
Get Started
Ready to take the next step in your data journey? Whether you want to explore a demo, request a proof of concept, or speak directly with our experts, Trinity makes it simple to get started. Our team will work for yo to understand your needs, design the right solution, and help you accelerate value from day one-securely, compliantly, and at scale.