{"title":"大数据分析在供应链管理中的应用和未来","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":"{\"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}","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
The use and the future of Big Data Analytics in Supply Chain Management
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.