The importance of data analysis in the modern era of print production

Christos Trochoutsos, Yannis Sofias
{"title":"The importance of data analysis in the modern era of print production","authors":"Christos Trochoutsos, Yannis Sofias","doi":"10.24867/grid-2022-p94","DOIUrl":null,"url":null,"abstract":"As the role of digital transformation becomes multi-fold in every sector, it generates huge amounts of information that can yield valuable insights at all fields of business and production activity. This has led to an expansion regarding the necessity of data handing and processing. Industry 4.0 is the current trend on automation and data exchange in manufacturing technologies. The elements that are included in Industry 4.0 create the so-called \"smart factory\" concept which indicates the direction towards the total transformation processes for all industries. Data analytics, following data collection, storage and handling, has become a crucial component of any business management system as an integral tool for creating strategies in all major organizations. The printing industry -of course- is not an exception to this rule. Analytic tools are embedded in all major MIS (Management Information Systems) and data are collected throughout the production from prepress to postpress departments. The present paper investigates the structure and formation of data from print management and production and the way that these can be used for providing actual and accurate information for the total business operation of a printing company.","PeriodicalId":107864,"journal":{"name":"Proceedings - The Eleventh International Symposium GRID 2022","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings - The Eleventh International Symposium GRID 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24867/grid-2022-p94","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

As the role of digital transformation becomes multi-fold in every sector, it generates huge amounts of information that can yield valuable insights at all fields of business and production activity. This has led to an expansion regarding the necessity of data handing and processing. Industry 4.0 is the current trend on automation and data exchange in manufacturing technologies. The elements that are included in Industry 4.0 create the so-called "smart factory" concept which indicates the direction towards the total transformation processes for all industries. Data analytics, following data collection, storage and handling, has become a crucial component of any business management system as an integral tool for creating strategies in all major organizations. The printing industry -of course- is not an exception to this rule. Analytic tools are embedded in all major MIS (Management Information Systems) and data are collected throughout the production from prepress to postpress departments. The present paper investigates the structure and formation of data from print management and production and the way that these can be used for providing actual and accurate information for the total business operation of a printing company.
数据分析在现代印刷生产中的重要性
随着数字化转型在每个领域的作用变得多重,它产生了大量的信息,可以在所有业务和生产活动领域产生有价值的见解。这导致了数据处理和处理的必要性的扩大。工业4.0是制造技术中自动化和数据交换的当前趋势。工业4.0中包含的元素创造了所谓的“智能工厂”概念,它为所有行业的整体转型过程指明了方向。继数据收集、存储和处理之后,数据分析已成为任何商业管理系统的重要组成部分,是所有主要组织制定战略的不可或缺的工具。当然,印刷业也不例外。分析工具嵌入到所有主要的MIS(管理信息系统)中,从印前到印后部门收集整个生产过程中的数据。本文研究了印刷管理和生产数据的结构和形成,以及如何利用这些数据为印刷公司的整体业务运作提供实际和准确的信息。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信