Issues related to implementation of big data analytical systems and other digitalization achievements to improve the business efficiency of mining companies

A.M. Balashov
{"title":"Issues related to implementation of big data analytical systems and other digitalization achievements to improve the business efficiency of mining companies","authors":"A.M. Balashov","doi":"10.30686/1609-9192-2024-3-139-142","DOIUrl":null,"url":null,"abstract":"Currently, digitalization and widespread adoption of digital technologies are significantly changing people's activities in many areas. Digital technologies provide automation of business processes, data management, analytics, they support strategic decision-making and dictate the need to introduce new approaches to doing business in order to increase its efficiency and profitability, as well as to ensure sustainability of companies' development in modern conditions. It needs to be especially mentioned how the big data processing and analysis technologies and other Industry 4.0 achievements are introduced in the mining industry. The use of big data analytical systems in modern production, including the mining industry, provides an integrated approach to processing and analyzing a large amount of information. It also provides organizations with significant advantages reflected at various levels of management and strategic decision-making. The prospects for implementation and development of these digital solutions currently look very encouraging. Effective management of these processes provides companies with significant opportunities and advantages, allowing them to increase competitiveness, optimize the use of resources and increase the efficiency of their business as a whole.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"31 26","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mining Industry Journal (Gornay Promishlennost)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30686/1609-9192-2024-3-139-142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Currently, digitalization and widespread adoption of digital technologies are significantly changing people's activities in many areas. Digital technologies provide automation of business processes, data management, analytics, they support strategic decision-making and dictate the need to introduce new approaches to doing business in order to increase its efficiency and profitability, as well as to ensure sustainability of companies' development in modern conditions. It needs to be especially mentioned how the big data processing and analysis technologies and other Industry 4.0 achievements are introduced in the mining industry. The use of big data analytical systems in modern production, including the mining industry, provides an integrated approach to processing and analyzing a large amount of information. It also provides organizations with significant advantages reflected at various levels of management and strategic decision-making. The prospects for implementation and development of these digital solutions currently look very encouraging. Effective management of these processes provides companies with significant opportunities and advantages, allowing them to increase competitiveness, optimize the use of resources and increase the efficiency of their business as a whole.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
与实施大数据分析系统和其他数字化成果以提高矿业公司业务效率有关的问题
目前,数字化和数字技术的广泛应用正在极大地改变人们在许多领域的活动。数字技术实现了业务流程、数据管理和分析的自动化,为战略决策提供了支持,并决定了必须引入新的经营方式,以提高效率和盈利能力,并确保公司在现代条件下的可持续发展。需要特别指出的是,采矿业是如何引入大数据处理和分析技术以及其他工业 4.0 成果的。大数据分析系统在现代生产(包括采矿业)中的应用,为处理和分析大量信息提供了一种综合方法。它还为组织提供了显著的优势,体现在管理和战略决策的各个层面。目前,这些数字化解决方案的实施和发展前景非常令人鼓舞。对这些流程的有效管理为企业提供了重要的机遇和优势,使其能够提高竞争力、优化资源利用和提高整体业务效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A comparative strength analysis of diamond cable segments for stone cutting machines Prospects for increasing the mineral base of the non-ferrous metallurgy Production and utilization of magnesium oxide in the Russian Federation Perspectives of using satellite databases of greenhouse gas emissions in monitoring of mining facilities Issues related to implementation of big data analytical systems and other digitalization achievements to improve the business efficiency of mining companies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1