Research on Financial Risk Early Warning System Based on Data Mining Technology

An indicator system for financial monitoring is known as a financial risk early warning system. This system makes use of statistical data to make predictions about the size of the possibility of shocks occurring at a certain point in time. Examples of shocks include a regional or national economic crisis or a collapse of the stock market. The early warning system for enterprise financial risk presents additional challenges, such as data spikes and uncertainty in the integration of risk information. It is the responsibility of the Financial Crisis early warning system to analyze and summarize significant data on the financial status of an organization, as well as to provide technical support for the purpose of making financial decisions via the use of Data Mining Technologies (DMT and other related technologies). It has been determined that the financial warning model that is based on Decision Tree (DT) integration is more accurate. This suggests that the model has the potential to increase the correct identification rate of companies that are experiencing a financial crisis, provided that the overall warning accuracy is enhanced. Hence, the proposed method, the DMT-DT, using early warning systems, includes automated solutions used to track borrowers’ credit condition to help monitor and appraise credit portfolios. Deloitte can assist in developing, implementing, improving, and maintaining various indicators for detecting early warning signals of potential financial situations. People in the community and individuals in danger can be better prepared to take timely and appropriate action with the help of people-centered early warning systems, that aim to lessen the likelihood of harm to people, property, and the environment.