Authors: Dinesh Batra, Nicole A. Wishart, Rajiv Dahiya
Tags: 2016, agile, analytics, business intelligence, data warehousing
Business surveys indicate that fewer than 30% of data warehousing and business intelligence (DW/BI) projects meet the stated goals on budget, schedule, and quality. Specifically, it has been noted that such projects are marred with delays, and changes in user requirements during this period may render the project irrelevant. Usually projects are available to end users after they have been fully implemented, which can take several months or even years. Other times, end users do not see the business value of the information afforded by the projects. Agile practices can address the changes in end user requirements but because of the large size of the typical DW/BI project, it may be difficult to apply the agile values and principles. In this study, the following research question is raised: how can agile practices be applied to DW/BI projects to achieve customer value and project success? Based on the agile, and DW/BI literature, an empirical study is proposed to examine the competing maxims for balancing agility with structured practices.
Cite as:
Batra D., Dahiya R., and Wishart N.A. (2016). “Adapting Agile Practices for Data Warehousing and Business Intelligence,” in AIS SIGSAND, Lubbock, TX, United States, May 12-14, 2016.
