Business intelligence is a broad category of applications andtechnologies for gathering, providing access to, and analyzing datafor the purpose of helping enterprise users make better businessdecisions. The term implies having a comprehensive knowledge of allfactors 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 anintroduction and practical guide to the mathematical models andanalysis methodologies vital to business intelligence.
Combines detailed coverage with a practical guide to themathematical models and analysis methodologies of businessintelligence.
Covers all the hot topics such as data warehousing, data miningand its applications, machine learning, classification, supplyoptimization models, decision support systems, and analyticalmethods for performance evaluation.
Is made accessible to readers through the careful definitionand introduction of each concept, followed by the extensive use ofexamples and numerous real-life case studies.
Explains how to utilise mathematical models and analysis modelsto make effective and good quality business decisions.
This book is aimed at postgraduate students following dataanalysis and data mining courses.
Researchers looking for a systematic and broad coverage oftopics in operations research and mathematical models fordecision-making will find this an invaluable guide.