Abstract

ABSTRACT To get value from BI (Business Intelligence) and Big Data initiatives, organizations need to develop the capability to successfully execute their analytics projects. Via updating Chow and Cao’s list of 12 success factors for agile projects, 43 attributes of these potential critical success factors (CSFs) were identified. Data from four case studies of analytics projects suggest that the critical success factors for analytics projects may be Strong Customer Involvement and a Methodical Project Definition Process.

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