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Books > Business & Economics > Business & management > Business strategy
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Business Intelligence Strategy and Big Data Analytics - A General Management Perspective (Paperback)
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Business Intelligence Strategy and Big Data Analytics - A General Management Perspective (Paperback)
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Business Intelligence Strategy and Big Data Analytics is written
for business leaders, managers, and analysts - people who are
involved with advancing the use of BI at their companies or who
need to better understand what BI is and how it can be used to
improve profitability. It is written from a general management
perspective, and it draws on observations at 12 companies whose
annual revenues range between $500 million and $20 billion. Over
the past 15 years, my company has formulated vendor-neutral
business-focused BI strategies and program execution plans in
collaboration with manufacturers, distributors, retailers,
logistics companies, insurers, investment companies, credit unions,
and utilities, among others. It is through these experiences that
we have validated business-driven BI strategy formulation methods
and identified common enterprise BI program execution challenges.
In recent years, terms like "big data" and "big data analytics"
have been introduced into the business and technical lexicon. Upon
close examination, the newer terminology is about the same thing
that BI has always been about: analyzing the vast amounts of data
that companies generate and/or purchase in the course of business
as a means of improving profitability and competitiveness.
Accordingly, we will use the terms BI and business intelligence
throughout the book, and we will discuss the newer concepts like
big data as appropriate. More broadly, the goal of this book is to
share methods and observations that will help companies achieve BI
success and thereby increase revenues, reduce costs, or both.
General
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