GienTech's solution empowers financial institutions to:
- Establish advanced audit risk management frameworks 
- Address end-to-end audit challenges from data sourcing to optimization 
- Deliver actionable business insights through phased model deployment 
Key highlights of the data mart system include significantly improving audit quality and efficiency, optimizing resource sharing, and maximizing audit outcomes. It drives risk-oriented supervision, enables early risk mitigation, and delivers value-added services that strengthen business management and corporate growth. With its speed, depth, breadth, and impact, the system is designed to meet the evolving demands of future internal risk management.
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                             Data Quality Issues Data Quality IssuesInsufficient business unit involvement in data review and validation leads to poor reporting data quality. Data lineage analysis is needed to enhance data accuracy and reliability. 
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                             Data Security Gaps Data Security GapsLack of comprehensive data logging, fine-grained access control, and operational monitoring increases risks to data security and system stability. 
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                             Inability to Meet Audit Requirements Inability to Meet Audit RequirementsExcessive historical data volume in the ORACLE database poses outage risks. Poor batch processing performance and delays in data reporting fail to meet audit authorities' timeliness standards. 
Leverages computer-aided tools as the foundation for risk audit management, building a secure, reliable, open, efficient, and flexible platform that integrates internal audits with regulatory audits.
Integrates the risk audit management system with the institution's overall IT infrastructure to establish a comprehensive audit management framework, enhancing the knowledge, scientific rigor, and standardization of audit practices.
Enables seamless connection with various business systems and supports integration with regulatory audits. Monitors key business processes and major risks, establishes a key indicator system reflecting operational and risk management performance, and enables comprehensive analysis, indicator monitoring, and model tracking.
Flexibly builds and manages audit models through model-driven tools, and standardizes audit operations using program-based audit tools. Transforms manual audits into electronic business information queries and risk identification, providing valuable audit leads for on-site inspections.
Centralizes the management and maintenance of audit projects, audit documents, organizational information, and work outputs, enabling electronic, standardized, and process-driven audit operations.
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                            01Comprehensive Support for Daily OperationsAssists auditors in conducting automated, large-scale risk monitoring and analysis based on massive datasets. Provides functionalities for risk assessment, audit planning, project implementation management, flexible configuration of audit workflows and monitoring rules, as well as dynamic business tracking and analysis. 
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                            02Proactive Business Risk Prevention and ControlSeamlessly connects with financial institutions’ business source systems. Utilizes near real-time monitoring, post-event analysis, and scheduled assessments to automate data collection and risk monitoring, generating timely risk alerts. 
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                            03Actionable Insights for Business ImprovementFindings from routine audits and internal risk control evaluations serve as valuable references for senior management to adjust business strategies, enhancing audit management and optimizing risk prevention and control measures. 


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