https://orcid.org/0000-0002-4824-1538
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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.
Notes
1. Project names are disguised to protect the confidentiality of the participating teams and organizations.
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Mikhail Tsoy
Mikhail Tsoy is a Ph.D. student in the Smith School of Business at Queen’s University, Kingston, Canada. His doctoral research examines the role of agility in project teams. His previous research mainly dealt with influence of trust in Open Source software projects. His work was published in several conference proceedings including Hawaii International Conference on System Sciences and Americas Conference on Information Systems.
D. Sandy Staples is a Professor in the Smith School of Business at Queen’s University, Kingston, Canada. His research interests include: project management and agile work practices, environmentally sustainable work practices, knowledge management, distributed working practices at both the team and individual levels, and assessing the effectiveness of information systems and IS practices. Dr. Staples has published in a variety of journals including Organization Science, Information Systems Research, Small Group Research, Information & Management, Journal of Management Information Systems, and Information Systems Journal.