Process control of financial informatisation in industrial enterprises based on data mining and RPA technology

To better control internal financial risk in industrial enterprises, this study developed an intelligent financial internal control system based on robot process automation.The system utilises a multi-objective evolutionary clustering algorithm with reference vectors to enhance credit management and billing optimisation.Results demonstrate an average value of 0.95 for the proposed method.The maximum mean of the normalised mutual information entropy index is 0.92 under the normalised mutual information index.This algorithm exhibits high clustering accuracy and robustness.The system achieves an accuracy rate of over 0.8 for enterprise credit rating, with an average of 86.9%.It surpasses other systems in evaluation accuracy and exhibits consistent results in manual evaluation.It can be seen that the performance of the system is more excellent, which can help industrial enterprises to carry out internal control of financial risks and simplify the financial workflow.