{"product_id":"business-intelligence-9780470511381","title":"Business Intelligence","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eBusiness 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.  \u003cp\u003e\u003ci\u003eBusiness Intelligence\u003c\/i\u003e provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence.\u003c\/p\u003e \u003cp\u003eThis book:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCombines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence.\u003c\/li\u003e \u003cli\u003eCovers 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 performanc\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePreface.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eI Components of the decision-making process.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Business intelligence.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Effective and timely decisions.\u003c\/p\u003e \u003cp\u003e1.2 Data, information and knowledge.\u003c\/p\u003e \u003cp\u003e1.3 The role of mathematical models.\u003c\/p\u003e \u003cp\u003e1.4 Business intelligence architectures.\u003c\/p\u003e \u003cp\u003e1.5 Ethics and business intelligence.\u003c\/p\u003e \u003cp\u003e1.6 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Decision support systems.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Definition of system.\u003c\/p\u003e \u003cp\u003e2.2 Representation of the decision-making process.\u003c\/p\u003e \u003cp\u003e2.3 Evolution of information systems.\u003c\/p\u003e \u003cp\u003e2.4 Definition of decision support system.\u003c\/p\u003e \u003cp\u003e2.5 Development of a decision support system.\u003c\/p\u003e \u003cp\u003e2.6 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Data warehousing.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Definition of data warehouse.\u003c\/p\u003e \u003cp\u003e3.2 Data warehouse architecture.\u003c\/p\u003e \u003cp\u003e3.2.1 ETL tools.\u003c\/p\u003e \u003cp\u003e3.3 Cubes and multidimensional analysis.\u003c\/p\u003e \u003cp\u003e3.4 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eII Mathematical models and methods.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Mathematical models for decision making.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Structure of mathematical models.\u003c\/p\u003e \u003cp\u003e4.2 Development of a model.\u003c\/p\u003e \u003cp\u003e4.3 Classes of models.\u003c\/p\u003e \u003cp\u003e4.4 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Data mining.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Definition of data mining.\u003c\/p\u003e \u003cp\u003e5.2 Representation of input data.\u003c\/p\u003e \u003cp\u003e5.3 Data mining process.\u003c\/p\u003e \u003cp\u003e5.4 Analysis methodologies.\u003c\/p\u003e \u003cp\u003e5.5 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Data preparation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Data validation.\u003c\/p\u003e \u003cp\u003e6.2 Data transformation.\u003c\/p\u003e \u003cp\u003e6.3 Data reduction.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Data exploration.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Univariate analysis.\u003c\/p\u003e \u003cp\u003e7.2 Bivariate analysis.\u003c\/p\u003e \u003cp\u003e7.3 Multivariate analysis.\u003c\/p\u003e \u003cp\u003e7.4 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Regression.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Structure of regression models.\u003c\/p\u003e \u003cp\u003e8.2 Simple linear regression.\u003c\/p\u003e \u003cp\u003e8.3 Multiple linear regression.\u003c\/p\u003e \u003cp\u003e8.4 Validation of regression models.\u003c\/p\u003e \u003cp\u003e8.5 Selection of predictive variables.\u003c\/p\u003e \u003cp\u003e8.6 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Time series.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Definition of time series.\u003c\/p\u003e \u003cp\u003e9.2 Evaluating time series models.\u003c\/p\u003e \u003cp\u003e9.3 Analysis of the components of time series.\u003c\/p\u003e \u003cp\u003e9.4 Exponential smoothing models.\u003c\/p\u003e \u003cp\u003e9.5 Autoregressive models.\u003c\/p\u003e \u003cp\u003e9.6 Combination of predictive models.\u003c\/p\u003e \u003cp\u003e9.7 The forecasting process.\u003c\/p\u003e \u003cp\u003e9.8 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Classification.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Classification problems.\u003c\/p\u003e \u003cp\u003e10.2 Evaluation of classification models.\u003c\/p\u003e \u003cp\u003e10.3 Classification trees.\u003c\/p\u003e \u003cp\u003e10.4 Bayesian methods.\u003c\/p\u003e \u003cp\u003e10.5 Logistic regression.\u003c\/p\u003e \u003cp\u003e10.6 Neural networks.\u003c\/p\u003e \u003cp\u003e10.7 Support vector machines.\u003c\/p\u003e \u003cp\u003e10.8 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Association rules.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Motivation and structure of association rules.\u003c\/p\u003e \u003cp\u003e11.2 Single-dimension association rules.\u003c\/p\u003e \u003cp\u003e11.3 Apriori algorithm.\u003c\/p\u003e \u003cp\u003e11.4 General association rules.\u003c\/p\u003e \u003cp\u003e11.5 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Clustering.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Clustering methods.\u003c\/p\u003e \u003cp\u003e12.2 Partition methods.\u003c\/p\u003e \u003cp\u003e12.3 Hierarchical methods.\u003c\/p\u003e \u003cp\u003e12.4 Evaluation of clustering models.\u003c\/p\u003e \u003cp\u003e12.5 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIII Business intelligence applications.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Marketing models.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Relational marketing.\u003c\/p\u003e \u003cp\u003e13.2 Salesforce management.\u003c\/p\u003e \u003cp\u003e13.3 Business case studies.\u003c\/p\u003e \u003cp\u003e13.4 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Logistic and production models.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Supply chain optimization.\u003c\/p\u003e \u003cp\u003e14.2 Optimization models for logistics planning.\u003c\/p\u003e \u003cp\u003e14.3 Revenue management systems.\u003c\/p\u003e \u003cp\u003e14.4 Business case studies.\u003c\/p\u003e \u003cp\u003e14.5 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Data envelopment analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Efficiency measures.\u003c\/p\u003e \u003cp\u003e15.2 Efficient frontier.\u003c\/p\u003e \u003cp\u003e15.3 The CCR model.\u003c\/p\u003e \u003cp\u003e15.4 Identification of good operating practices.\u003c\/p\u003e \u003cp\u003e15.5 Other models.\u003c\/p\u003e \u003cp\u003e15.6 Notes and readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A Software tools.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B Dataset repositories.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eReferences.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402349093207,"sku":"9780470511381","price":119.65,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470511381.jpg?v=1730480139","url":"https:\/\/bookcurl.com\/products\/business-intelligence-9780470511381","provider":"Book 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