By Mark Giesbrecht
As a means of delivering BI value early and often, agile
data warehousing (ADW) has moved from the margins to the
mainstream. Product backlogs, work sprints, self-guided teams,
and business sponsors partnering as product owners have
replaced much of the central-planning, document-driven contract
model of waterfall delivery.
Many BI practitioners are asking how they can ensure their
quick wins from ADW are sustainable. They want to establish
cost-effective, quality, and repeatable delivery while building
an enterprise warehouse—without compromising the gains that
have engaged business users and have them asking for more.
Opportunities for optimization can be found throughout the entire
BI solution life cycle, from the initial assessment, to project
planning and delivery, to project closure and ongoing support.
Presented here are the 10 mistakes to avoid as you take your
agile BI practice to the next level.
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