数据分析对商业性质的影响

O. Liashenko, O. Podskrebko, N. Ivanchenko
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摘要

作者分析了大数据分析中使用的主要分析类型。当这些处理大数据的工具能够在收集和准备建模数据的阶段识别问题时,就会出现实际情况。在此基础上,建立了5个神经网络模型,对某工业企业的用气量进行了预测。提出的模型和得到的燃气消耗量预测将提高企业管理决策的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Data Analytics on the Nature of Doing Business
The authors analyzed the main types of analytics used in the analysis of big data. Real situations are presented when these tools for working with big data made it possible to identify problems at the stage of collecting and preparing data for modeling. Based on the prepared data, five neural network models were built to predict the gas consumption of one of the industrial enterprises. The proposed models and the obtained forecasts of gas consumption will improve the efficiency of management decisions at the enterprise.
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