Treffer: Research on Exploring and Practicing the Improvement of Financial Big Data Literacy Basedon Python.

Financial big data literacy is the core competitiveness of financial personnel in the digital era, whichdirectly affects the enterprise's data-driven decision-making ability. Based on Python technology, this articleproposes a 4- fold strategy for financial big data literacy enhancement and practice, including building a layeredtraining 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 establishingacross-departmental collaboration mechanism to promote the integration of technology and business. Thisstrategy 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 strategieswill 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. [ABSTRACT FROM AUTHOR]

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