Data Value and the Search for a Single Source of Truth: What is it and Why Does it Matter?
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Date
2024-01-03
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6636
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Organizations aspire to a single source of truth to improve data-driven decision making. All too often, data is locked inside data silos, raising the question: if a single source of truth is key to unlocking value from data, what should organizations do to get there? This paper presents findings from a survey of 400 E.U. and U.S. organizations. First, cluster analysis reveals three organization types based on value from a single source of truth: data laggards, data followers, and data champions. Next, we show that data champions are more likely to have an adaptable and flexible IT infrastructure alongside a culture of data sharing. They report fewer inhibitors of a single source of truth such as conflicting data standards. Data laggards report fewer IT enablers but also, paradoxically, fewer inhibitors. We turn these results, and insights gleaned from follow-up interviews with IT executives, into a set of non-technical prescriptions for organizations.
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Practice-based IS Research, data champions, data followers, data laggards, data value, single source of truth
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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