School of Economics and Management, Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu 210000, China.
State Grid Taizhou Power Supply Company, Taizhou, Jiangsu 210000, China.
Comput Intell Neurosci. 2022 Aug 27;2022:3493678. doi: 10.1155/2022/3493678. eCollection 2022.
With the rapid development of information technology, the amount of all kinds of data information is increasing rapidly. As an important means to collect, store, and manage massive data, and then analyze and predict the habits and characteristics of certain groups of people and even the development trend of a certain industry, big data technology provides a comprehensive strategic basis for management decision makers that the traditional processing mode cannot match. Contemporary management accounting serves the whole process of enterprise internal control, so it will produce a large number of various data. With the explosive growth of network data and the increasing scale of database, more and more people begin to study data mining, and the classification algorithm, as the key technology in data mining, has also received extensive attention. In order to further improve the information technology level of enterprise management accounting and increase the depth of information application, many enterprises began to pay more attention to data mining, and through deep data mining, the depth and breadth of enterprise data analysis were improved. In the research of data and accounting informatization, data mining technology accounts for about 50% of informatization, which is the way for future development. With the advent of the information age, the dependence of enterprises on information technology in the process of accounting management has been further improved. If enterprises want to achieve better development in the information age, they need to pay more attention to the information technology of management accounting and improve the application ability of enterprise staff in information.
随着信息技术的飞速发展,各种数据信息的数量迅速增加。大数据技术作为收集、存储和管理海量数据的重要手段,然后分析和预测某些人群的习惯和特征,甚至是某个行业的发展趋势,为管理决策者提供了传统处理模式无法比拟的全面战略基础。当代管理会计服务于企业内部控制的全过程,因此会产生大量的各种数据。随着网络数据的爆炸式增长和数据库规模的不断扩大,越来越多的人开始研究数据挖掘,而分类算法作为数据挖掘的关键技术,也受到了广泛关注。为了进一步提高企业管理会计的信息技术水平,增加信息应用的深度,许多企业开始更加关注数据挖掘,并通过深入的数据挖掘,提高了企业数据分析的深度和广度。在数据和会计信息化的研究中,数据挖掘技术占信息化的 50%左右,这是未来发展的方向。随着信息时代的到来,企业在会计管理过程中对信息技术的依赖程度进一步提高。如果企业要在信息时代取得更好的发展,就需要更加重视管理会计的信息技术,提高企业员工在信息方面的应用能力。