A Data-Driven Framework for Intelligent Financial Assessment in Automated Accounting Systems

Puntos clave

• This research aims to develop a framework for enhancing financial assessments using data-driven methods in automated accounting systems.
• Developed a data-driven framework incorporating advanced algorithms for financial assessment.
• Analyzed the effectiveness of the framework through comparative metrics in automated accounting systems.
• Implemented a series of automated accounting scenarios to test the framework's performance.
• The framework improved financial assessment accuracy by 30% compared to traditional methods, p<0.01.
• User satisfaction rates increased by 25% after implementing the intelligent financial assessment system.

Resumen