Research on Exploring and Practicing the Improvement of Financial Big Data Literacy Based on Python

Abstract

Financial big data literacy is the core competitiveness of financial personnel in the digital era, which directly affects the enterprise's data-driven decision-making ability. Based on Python technology, this article proposes a 4- fold strategy for financial big data literacy enhancement and practice, including building a layered training system to strengthen the technical foundation, creating a lightweight tool chain to lower the barrier of application, implementing a practical case base to enhance the scenario-based capability, and establishing a cross-departmental collaboration mechanism to promote the integration of technology and business. This strategy system will effectively solve the problem of technology implementation and promote the financial transformation from "accounting-based" to "value-based". The active implementation of the above strategies will help improve the data analysis efficiency of enterprises, deepen the integration of business and finance, reduce the cost of technology use, and help enterprises build a data-driven financial decision-making system.