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Exploring Critical Success Factors in Agile Analytics Projects

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Title:Exploring Critical Success Factors in Agile Analytics Projects
Authors:Tsoy, Mikhail
Staples, D. Sandy
Keywords:Big Data and Analytics: Pathways to Maturity
analytics projects
business intelligence
Date Issued:07 Jan 2020
Abstract:Via updating Chow and Cao’s list of success factors for agile projects, attributes of potential critical success factors (CSF’s) for agile analytics projects were identified from the literature. Ten new attributes were added to Chow and Cao’s original list. Seven new attributes from the general agile project literature address: risk appetite, team diversity and availability, engagement, project planning, shared goals, and methods uncertainty. Three attributes specific to analytics projects were added: data quality, model validation, and building customers’ trust in model solution. The potential validity of the various CSF’s and attributes was explored via data from case studies of two analytics projects that varied in deployment success. The more successful project was found to be stronger in almost all the factors than the failed project. The findings can help researchers and analytics practitioners understand the environmental conditions and project actions that can help get business value from their analytics initiatives.
Pages/Duration:10 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Big Data and Analytics: Pathways to Maturity

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