Aligning business intelligence (BI) infrastructure with strategy
processes not only improves your organization's ability to respond to
change, but also adds significant value to your BI infrastructure and
development investments. Until now, there has been a need for a
comprehensive book on business analysis for BI that starts with a macro
view and gradually narrows it down to real-world tips, templates, and
discussion material BI analysts need to know.
Covering the concepts, tools, and background required for successful BI
projects, Business Analysis for Business Intelligence describes how
to use business intelligence to improve your analysis activities. It
outlines a proven framework for developing data models and solutions
that fit your organization's strategy. Explaining how to avoid common
pitfalls, it demonstrates how to use continuous improvement to create a
strategic knowledge organization and establish a competitive advantage.
- Links proven theories with practical insights
- Describes the questions you need to ask yourself or the client when
turning data into information
- Includes discussion items and templates suitable for both IT and
business professionals
- Illustrates the root causes behind poor performance management
- Outlines the steps needed to get your BI project started correctly
The book details a framework based on time-tested theories, empirical
data, and the author's experience analyzing strategic processes in
dozens of organizations across a range of industries-including
financial, logistics, food production, health, telecom, government, and
retail. Providing you with the tools to achieve enduring success, the
book can help your organization develop successful BI projects and
fine-tune them to match the strategic decision making process in your
organization.
