As several mainstream international data analysis platforms strategically adjust their presence in the China market, the high-end banking analytics sector is entering a critical window for system reconstruction and capability migration.

Leveraging more than 20+ years of financial industry experience, Sunline proposes a systematic migration solution that provides full-chain capability replacement, from data exploration to analytical modeling, helping banks transition smoothly and establish an autonomous foundation for the data-intelligence era. Driven by global software landscape changes and China’s accelerating XinChuang initiative, major international data analytics vendors are shifting their strategies in the China market. This shift forces China’s banks to urgently determine how to maintain and advance their critical analytical capabilities.

01 | From Function Implementation to Capability Parity

The core challenge in migrating to international data analysis platforms is ensuring consistent business logic and analytical outcomes. Our approach focuses on achieving true Capability Parity across four critical domains:

•  Syntax and Semantic Translation: We ensure that complex processing logic achieves functional and performance equivalent when migrated to the new distributed architecture.

•  Data Logic Consistency: Essential data-handling rules are fully and accurately reconstructed during migration to ensure zero data loss or deviation.

•  Seamless Data Exploration: We provide data-exploration and interactive-analysis tools that match or exceed the original platform, enabling business teams to perform autonomous data discovery and multi-dimensional analysis.

•  End-to-End Performance and User Experience: The new system is designed to handle PB-level data while improving processing efficiency.

02 | The Migration Path: Built on Financial-Grade Standards

Sunline leverages its deep domain knowledge across core banking, credit, and data to deploy a migration methodology that is Verifiable, Controllable, and Sustainable.

1. Quantifiable Success: Defining Trustworthy Metrics

We establish strict, measurable criteria to define migration success:

•   Logic Alignment: Assured consistency of translated code logic and alignment of analytical functions.

•   Result Fidelity: Verifiable consistency between model calculation results in the new system and the original platform.

•   Operational ROI: Noticeable improvements in system processing efficiency and optimization of O&M costs.

2. Full-Process Assurance: From Inventory to Insured Cutover

Our migration process is risk-managed and end-to-end:

•   Asset Decoupling & Strategy: A complete inventory of code, data assets, and job dependencies produces a precise Asset Inventory List and Mapping Relationship Table.

•   Layered Translation & Dual Validation: A phased translation strategy combined with dual-environment comparison ensures rigorous validation.

•   Smooth Cutover & Risk Mitigation: We ensure a business-transparent transition supported by clear rollback mechanisms.

3. Strategic Upgrade: Integrating the Data Lakehouse

Migration is not only a replacement, it is a strategic upgrade. We integrate analytical modules into the bank’s internal Data Lakehouse architecture, strengthening technology sovereignty while enabling real-time analytics and AI/ML development.

03 | Case Study: Large-Scale Migration at a Joint-Stock Commercial Bank

Sunline successfully delivered a large-scale migration of an international data analytics platform for a major joint-stock commercial bank.

Key outcomes included:

•   Completion of the full migration of historical data and real-time synchronization of daily incremental data.

•   Significant improvement in execution efficiency of complex risk-control models.

•   Seamless reuse of business logic through layered testing and dual-environment comparisons.

•   Full takeover of data exploration and discovery requirements, ensuring uninterrupted operation of risk-control and marketing functions.

Conclusion: Seizing the Future of Finance

The ongoing strategic shift in the international data analytics platform market presents China’s banking industry with an opportunity to modernize and gain full control over its analytical ecosystem. Sunline is committed to being the trusted partner for banking institutions in building a secure, controllable, efficient, and future-ready data-intelligence paradigm.