Predictive Analysis of Enterprise Transformation Risk by Computer Data Mining

Risk prediction is the main content of enterprise transformation, and enterprise digital transformation, business strategy and work efficiency will affect the decision-making results Make an impact and reduce the rationality of risk predictions. Given the existing problems, this paper introduces a computer data mining method to perform predictive analysis on enterprise digital transformation decision-making and improve enterprise digitalization Transformation level, shorten the time to make decisions about enterprise transformation. Then, make a comprehensive forecast of the market data. Finally, continuous monitoring is used to predict risks and output the final decision-making results. The results show that the computer data mining algorithm can accurately predict risks, improve the level of risk prediction decision-making, and rationality Greater than 95% is better than traditional risk assessment methods. Therefore, computer data mining algorithms can meet the requirements of enterprise digital transformation risk prediction and are suitable for continuous analysis of enterprise transformation.