Data Strategy Model - A Reference Model to Develop Data Strategies

Fabian Muster
{"title":"Data Strategy Model - A Reference Model to Develop Data Strategies","authors":"Fabian Muster","doi":"10.18452/19985","DOIUrl":null,"url":null,"abstract":"Data, data, data ... never before companies have had as much data as today. And the potential to gain profitability from and with data is enormous – but often not used! Either there is no awareness or a lack of qualification within the company that makes it hard or even impossible to benefit from those data. A comprehensive data strategy can enable companies to benefit from data. But data strategies are not so easy to establish and transform – and they are not even available as a model! Therefore, the at hand reference model can help closing the gap between the “we need” and the “we have” a data strategy. The Master Thesis answers the questions why a data strategy is relevant and why a reference model is helpful, where in the company and how a data strategy has to be established, identifies the most important components of such a strategy and creates a reference model for data strategies. Complemented with guidelines for the transformation and for a maturity model, a RACI model for roles and responsibilities and an implementation roadmap, the master thesis presents a feasible reference model for data strategies.","PeriodicalId":90875,"journal":{"name":"ISI ... : ... IEEE Intelligence and Security Informatics. IEEE International Conference on Intelligence and Security Informatics","volume":"143 1","pages":"274-277"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISI ... : ... IEEE Intelligence and Security Informatics. IEEE International Conference on Intelligence and Security Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18452/19985","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

Data, data, data ... never before companies have had as much data as today. And the potential to gain profitability from and with data is enormous – but often not used! Either there is no awareness or a lack of qualification within the company that makes it hard or even impossible to benefit from those data. A comprehensive data strategy can enable companies to benefit from data. But data strategies are not so easy to establish and transform – and they are not even available as a model! Therefore, the at hand reference model can help closing the gap between the “we need” and the “we have” a data strategy. The Master Thesis answers the questions why a data strategy is relevant and why a reference model is helpful, where in the company and how a data strategy has to be established, identifies the most important components of such a strategy and creates a reference model for data strategies. Complemented with guidelines for the transformation and for a maturity model, a RACI model for roles and responsibilities and an implementation roadmap, the master thesis presents a feasible reference model for data strategies.
数据策略模型-开发数据策略的参考模型
数据、数据、数据……企业从来没有像今天这样拥有如此多的数据。从数据中获得盈利的潜力是巨大的——但往往没有被使用!公司内部要么没有意识到,要么缺乏资格,这使得很难甚至不可能从这些数据中受益。一个全面的数据战略可以使公司从数据中受益。但是数据策略并不是那么容易建立和转换的——它们甚至不能作为模型使用!因此,手边的参考模型可以帮助缩小“我们需要”和“我们拥有”数据策略之间的差距。硕士论文回答了为什么数据战略是相关的,为什么参考模型是有帮助的,在公司的哪里以及如何建立数据战略,确定了这种战略的最重要组成部分,并为数据战略创建了参考模型。作为对转换和成熟度模型、角色和职责的RACI模型以及实现路线图的补充,硕士论文为数据策略提供了一个可行的参考模型。
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:604180095
Book学术官方微信
小红书