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碩益科技股份有限公司 SOE Technology Inc.

金融保險業重視數據安全性與審計合規。碩益方案提供強化版財務結算與權限審計功能,確保每筆交易均有完整歷程,並符合國際會計準則與金融監管要求,協助機構實現嚴謹的集團化財務控管。

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Industry-Specific Challenges
Analyzing the management bottlenecks, system integration complexity, and digital transformation challenges faced by enterprises across industries, helping organizations gain clearer insights into industry trends and develop more precise growth and optimization strategies.
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Legacy Systems Are Outdated and Difficult to Maintain

The insurance industry places strong emphasis on system stability, and many core systems have been in use for 20–30 years. These legacy systems are built on outdated programming languages, are supported by a limited number of specialists, and rely heavily on text-based and batch-processing operations. As a result, they can only generate operational data and are unable to provide the analytical insights required for modern management.
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IFRS Regulatory Upgrades and Data Challenges

The upgrade to IFRS 17 in 2026 introduces significant changes in data dimensions and accounting requirements, including the need for dual reporting under IFRS 4 and IFRS 17. Existing legacy systems are unable to support these regulatory requirements.
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Low Automation and Inefficient Business Processes

The insurance industry must support diverse policy products and premium collection methods to enhance customer satisfaction. However, complex approval hierarchies and heavy reliance on manual processing make sales performance tracking difficult. In addition, many premium-related operations must be handled across multiple systems, reducing operational efficiency and increasing management burden.

Solution Value Proposition

System Upgrade and Automation

SAP ERP provides an intuitive, graphical user interface that makes operations more streamlined and ensures accurate data entry. It generates valuable management information and supports multi-ledger accounting. Combined with SAP S/4HANA, it enables fast and efficient processing of large volumes of data.

Process Integration and Optimization

Through in-depth analysis of business processes, policy and claims workflows are successfully integrated and optimized. Automated exception handling mechanisms are introduced to ensure issues are resolved promptly with reduced manual intervention. This not only lowers the risk of operational errors and associated costs, but also significantly improves processing efficiency.

Insurance-Specific Automation and Premium Collection Management

By integrating multiple premium collection channels and implementing daily bank reconciliation with real-time posting, discrepancies can be quickly identified and corrected. This reduces reconciliation difficulties, improves premium collection accuracy and processing efficiency, and optimizes end-to-end insurance service processes.

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