{"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.