Business intelligence is a broad category of applications and
technologies for gathering, providing access to, and analyzing data
for the purpose of helping enterprise users make better business
decisions. The term implies having a comprehensive knowledge of all
factors that affect a business, such as customers, competitors,
business partners, economic environment, and internal operations,
therefore enabling optimal decisions to be made.
Business Intelligence provides readers with an
introduction and practical guide to the mathematical models and
analysis methodologies vital to business intelligence.
- Combines detailed coverage with a practical guide to the
mathematical models and analysis methodologies of business
- Covers all the hot topics such as data warehousing, data mining
and its applications, machine learning, classification, supply
optimization models, decision support systems, and analytical
methods for performance evaluation.
- Is made accessible to readers through the careful definition
and introduction of each concept, followed by the extensive use of
examples and numerous real-life case studies.
- Explains how to utilise mathematical models and analysis models
to make effective and good quality business decisions.
This book is aimed at postgraduate students following data
analysis and data mining courses.
Researchers looking for a systematic and broad coverage of
topics in operations research and mathematical models for
decision-making will find this an invaluable guide.