The Influence of Big Data on Management Accounting

The influence of big data era on management accounting;

(a) changes in data management.

In the era of big data, traditional data management methods have been changed. In the traditional enterprise data management, the types and channels of management are relatively simple, the data types are mainly structured, and the workload of data management is heavy and the work efficiency is not high.

With the advent of the era of big data, data types and management channels have become more diversified and have established close ties with the Internet. Storing big data on e-commerce and social networking platforms has shown the unstructured characteristics of big data, changed the collection methods and contents of big data, and achieved great changes in data management.

(2) Changes in data processing mode.

The traditional data processing method needs to retrieve data from the database, collect and sort it out economically, and then reprocess the data information by users, which can realize the refining, analysis and utilization of valuable data and waste a lot of time. Once an error occurs in a link, it will affect the data processing results.

In the era of big data, the analysis and mining of data are mainly realized by means of analysis tools, and the analysis methods are diversified, including regression analysis, classification analysis, trend analysis and decision number analysis. , and can choose the data analysis method reasonably according to the specific situation.

(3) The data storage mode has changed.

Enterprise management accounting data has the characteristics of diversity and richness. The total amount of data is large and stored in a data warehouse. Before storing data, it needs to go through the steps of data collection, preprocessing, analysis and processing. The traditional data storage method is more complicated, which will cause a lot of time waste and is not conducive to improving the work efficiency of enterprises.

In the era of big data, according to the actual situation of data, data is divided into several types, mainly including distributed storage cluster, distributed database and different data storage modules, which provides an effective channel for data storage. The main storage modules mainly include sales management module, production planning module and inter-enterprise relationship module.