Data Strategy Model - A Reference Model to Develop Data Strategies

Fabian Muster
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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.
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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。
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