{"title":"数据分析对商业性质的影响","authors":"O. Liashenko, O. Podskrebko, N. Ivanchenko","doi":"10.1109/ACIT54803.2022.9913122","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":431250,"journal":{"name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Data Analytics on the Nature of Doing Business\",\"authors\":\"O. Liashenko, O. Podskrebko, N. Ivanchenko\",\"doi\":\"10.1109/ACIT54803.2022.9913122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":431250,\"journal\":{\"name\":\"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACIT54803.2022.9913122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT54803.2022.9913122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.