# Risks and Technical Debts ## Identified Risks ### Data Integration Challenges > [!WARNING] > Integrating diverse data sources (geological, financial, operational) may lead to inconsistencies and data quality issues. Implement robust ETL processes and data validation mechanisms to ensure data integrity. ### Security Vulnerabilities > [!WARNING] > Potential security vulnerabilities could expose sensitive data to unauthorized access. Conduct regular security audits, implement strong encryption, and enforce access controls. ### Scalability Limitations > [!NOTE] > The system may face performance degradation as data volume and user load increase. Design the architecture for horizontal scaling and conduct regular performance testing. ### Regulatory Compliance Risks > [!NOTE] > Non-compliance with data privacy regulations (e.g., GDPR, CCPA) could result in legal penalties and reputational damage. Stay updated with regulatory changes, implement compliance monitoring, and conduct regular audits. ## Technical Debts ### Documentation Gaps > [!NOTE] > Incomplete documentation can lead to misunderstandings and increased onboarding time for new team members. Establish a documentation review process and allocate time for updates in each development sprint. ### Testing Coverage Gaps > [!NOTE] > Insufficient automated tests may lead to undetected bugs and regressions. Expand the test suite to cover critical components and implement continuous integration practices. ### UI/UX Improvements > [!TIP] > The user interface may not fully meet user expectations, affecting usability and satisfaction. Gather user feedback and plan iterative UI/UX enhancements in future releases. ### Performance Optimization > [!TIP] > Performance bottlenecks may arise as the system scales, impacting user experience. Conduct regular performance profiling and optimization efforts to ensure smooth operation under load. ## Risk and Debt Management Regularly review and update the risk and technical debt register during sprint retrospectives and planning sessions. Prioritize mitigation and resolution efforts based on impact and urgency, ensuring that the architecture remains robust and adaptable to evolving requirements.