The application relates to the technical field of
data processing, in particular to a financial management method and
system based on
big data, which comprises the following steps: S1, performing semantic-visual fusion cleaning and
standardization processing on unstructured financial data of a small and medium-sized enterprise, and outputting a standardized financial
data matrix; and S2, based on the standardized financial
data matrix, combining ERP data and external supply chain credit data, and performing cash flow health degree prediction and supply chain
payment strategy linkage; when the application is used, semantic-visual fusion cleaning is used to reduce the
workload of manual arrangement of
unstructured data, improve the
data accuracy, and solve the pain points of difficult
data entry, many errors and omissions of the small and medium-sized enterprise; through real-time cash flow health degree prediction, the small and medium-sized enterprise can identify the fund gap risk 7-30 days in advance, and passive supply interruption can be avoided; through a dynamic
payment strategy, the overdue
payment probability is reduced, the cooperation stability of the core supplier is improved, an
advance payment discount can be obtained, and the procurement cost is reduced.