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From data to impact: a multivocal review of success factors and criteria for data science projects
Background: Organizations increasingly invest in data science projects for their transformative impact potential, but high failure rates highlight the necessity of effective success management strategies to realize data's strategic value. This study aims to support such strategies by identifying and
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