{"title":"The use and the future of Big Data Analytics in Supply Chain Management","authors":"Wojciech Zdrenka","doi":"10.21008/J.2083-4950.2017.7.2.3","DOIUrl":null,"url":null,"abstract":"Global computerization and informatization of enterprises, Internet popularization and fastgrowing number of mobile devices has caused the rapid growth of data generated by the society. There never was so much data in the whole humans history. Forecasts shows that in 5 years the growth rate of data being generated will increase by several times. From one side, easy-access to company’s economic environment and customers’ data enables better decision taking, but from the other side huge amount of data leads to the “information noise” which may be a cause of incorrect conclusions and finally wrong decisions. Due to this phenomenon, companies have faced completely new challenge – development of company’s competitive edge through the analysis of huge amount of unstructured and changing data bases – so-called “Big data”. Analysis that were difficult or even not possible to conduct couple years ago, today are supporting companies on every day basis thanks to Big data analysis. Paper type: Research Paper Published online: 30 April 2017 Vol. 7, No. 2, pp. 91–102 DOI: 10.21008/j.2083-4950.2017.7.2.3 ISSN 2083-4942 (Print) ISSN 2083-4950 (Online) © 2017 Poznan University of Technology. All rights reserved.","PeriodicalId":324850,"journal":{"name":"Research in Logistics and Production","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Logistics and Production","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21008/J.2083-4950.2017.7.2.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
大数据分析在供应链管理中的应用和未来
全球企业的计算机化和信息化、互联网的普及和移动设备数量的快速增长,使得社会产生的数据量迅速增长。在整个人类历史上从未有过如此多的数据。预测显示,在未来5年内,数据生成的增长率将增加数倍。一方面,容易获得公司的经济环境和客户的数据可以更好地做出决策,但另一方面,大量的数据会导致“信息噪音”,这可能会导致错误的结论,最终导致错误的决策。由于这种现象,企业面临着全新的挑战——通过分析大量的非结构化和不断变化的数据库,即所谓的“大数据”,来发展企业的竞争优势。几年前很难甚至不可能进行的分析,如今由于大数据分析,每天都在为公司提供支持。论文类型:研究论文在线发表:2017年4月30日Vol. 7, No. 2, pp. 91-102 DOI: 10.21008/j.2083-4950.2017.7.2.3 ISSN 2083-4942 (Print) ISSN 2083-4950 (online)©2017波兹南理工大学。版权所有。
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