M Maritime Bureau Based On Big Data Intelligence Optimization Of Internal Management Of Budget Management

With the development of big data and artificial intelligence technology,the financial system and management are also continuously seeking innovation.On January 1,2014,the Ministry of Finance promoted the "Internal Control Specifications for Administrative Institutions(Trial)"(hereinafter referred to as "Internal Control Specifications")It is implemented nationwide.At the same time,the Ministry of Transport has clearly pointed out that the internal control construction of administrative institutions should be gradually combined with informatization methods,flexibly use information technology to optimize processes,strengthen risk management and control,conduct in-depth analysis and effective supervision and evaluation.At present,M Maritime Affairs Bureau makes full use of information technology to develop and use the financial cloud platform management system with the concept of "cloud finance",coordinate and manage the economic and business activities of grassroots units,integrate massive data information,and use big data,artificial intelligence and other technologies for deep mining the value of data information to provide support for data analysis and decision evaluation.This article firstly gives a theoretical overview of the budget control internal control of administrative institutions,robotic process automation,big data and machine learning,then summarizes domestic and foreign research and summarizes the budget of the M Marine Bureau based on previous field surveys and expert interviews.The current status of business internal control,and further analysis of the requirements of M Maritime Bureau's budget preparation and approval process automation requirements,budget execution effectiveness risk early warning requirements,and budget business supervision system construction requirements.Secondly according to its optimization needs,the optimization design of the internal control of M Maritime Bureau's budget business:(1)Combining RPA with budgeting and approval processes to strengthen business process management and improve the quality of data and information,thereby assisting control at the budget business level;(2)Based on Kmeans clustering algorithm,this article establish a budget execution risk control model and strengthen budget execution risk control;(3)This article establish and improve the department final account evaluation system,construct an AHP model through expert scoring,then obtain the weights of various indicators,and use support vector machines to perform a scientific and comprehensive department final account rating evaluation.Thirdly,it is the specific implementation stage of the optimization of the internal control of the M Maritime Bureau's budget business based on the intelligence of big data,and corresponding safeguard measures are proposed.Finally,the full text research summary and future prospects are made.Through the research on the optimization of internal control of M Maritime Bureau's budget business based on the intelligence of big data,it is helpful to solve the problems of the efficiency and accuracy of business processes in the internal control of M Maritime Bureau's budget business,the budget execution risk management and control,and the evaluation of departmental accounts.Under the background of big data intelligence,the requirements for the informatization of the internal control of the M Maritime Bureau's budget business have improved its business accuracy,reduced execution risk,improved execution analysis accuracy,and ensured the authenticity and objectivity of the evaluation.At the same time,it has enriched the optimization direction and path of internal control of the budget business of administrative institutions,then it further push the interior of China's administrative institutions.Control the pace of reform combined with emerging information technology.