Eliminating Risk Through Nested Iterations
Building an enterprise data warehouse following traditional techniques is fraught with risk, as empirical studies have shown that these projects fail more often than they succeed. Agile enterprise data warehousing (EDW) techniques mitigate this risk using three types of iterations, one stacked within another, with each style of iteration designed to detect a different type of hazard. At the lowest level, teams employ Scrum development iterations so that product owners can regularly review the application for coding concepts errors. On the next level, agile EDW teams hold a subrelease candidate review after every three or four iterations so that the project’s close stakeholders can review how ...
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