Seybold Report ISSN: 1533-9211

Abstract

DECISION TREE ALGORITHM AND ANALYSIS BASED ON STRATEGIC FINANCIAL MANAGEMENT FOR STARTUPS


Venugopal V Bagadhi, Ibrahim Alrajawy, K Suresh Babu
Lincoln University College, Malaysia


Vol 17, No 07 ( 2022 )   |  DOI: 10.5281/zenodo.6963042   |   Licensing: CC 4.0   |   Pg no: 454-462   |   Published on: 31-07-2022



Abstract
Information technology has played an important role in all aspects of human society, and has pushed human society from the industrial age to the Internet age. In order to ensure the quality of financial management, improve the ability of financial management and the service level of startups business, universities constantly improve the financial management system and constantly look for innovations in the financial management system of startups. There are many decision-making challenges in management. By using decision tree mining technology, we can find all kinds of potential valuable knowledge and get to know corresponding management strategies by integrating the whole management information. Based on the decision tree classification algorithm, this analyzes the characteristics of financial management information system, and designs the system module with the financial processing module as the core, so as to achieve the purpose of optimizing the financial management process and performance of startups.


Keywords:
Decision tree classification, Strategic financial management



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