Book description
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.
This book:
- Combines detailed coverage with a practical guide to the
mathematical models and analysis methodologies of business intelligence.
- 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.
Carlo Vercellis - School of Management, Politecnico di
Milano, Italy
As well as teaching courses in Operations Research and Business
Intelligence, Professor Vercellis is director of the research group
MOLD (Mathematical Modeling, Optimization, Learning from Data). He has
written four book in Italian, contributed to numerous other books, and
has had many papers published in a variety of international journals.
