How Do We Know If the Model Is Good Enough?. How Do We Develop the Linear Regression Model?. The Shape of a Distribution.Īpplication Case 2.3: Town of Cary Uses Analytics to Analyze Data from Sensors, Assess Demand, and Detect Problems.Ģ.6 Regression Modeling for Inferential Statistics.
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Measures of Dispersion (May Also Be Called Measures of Spread Decentrality). Statistical Modeling for Business Analytics.ĭescriptive Statistics for Descriptive Analytics.
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The Art and Science of Data Preprocessing.Īpplication Case 2.2: Improving Student Retention with Data-Driven Analytics.Ģ.5. A Simple Taxonomy of Data.Īpplication Case 2.1: Medical Device Company Ensures Product Quality While Saving Money.Ģ.4. Opening Vignette: SiriusXM Attracts and Engages a New Generation of Radio Consumers with Data-Driven Marketing.Ģ.3.
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An Overview of the Analytics Ecosystem.ĭata Management Infrastructure Providers.Īnalytics-Focused Software Developers.Īpplication Developers: Industry Specific or General.Īnalytics Industry Analysts and Influencers.Īcademic Institutions and Certification Agencies.Īnalytics User Organizations.Ĭhapter 2: Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization.Ģ.1. Transaction Processing versus Analytic Processing.Īppropriate Planning and Alignment with the Business Strategy.ĭeveloping or Acquiring BI Systems.Īpplication Case 1.2: Silvaris Increases Business with Visual Analysis and Real-Time Reporting Capabilities.Īpplication Case 1.5: A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates.Īnalytics Applications in Healthcare-Humana Examples.Īnalytics in the Retail Value Chain.ġ.8.
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The Origins and Drivers of BI.Īpplication Case 1.1: Sabre Helps Its Clients Through Dashboards and Analytics.
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Evolution of Computerized Decision Support to Analytics/Data Science.ġ.4. Changing Business Environments and Evolving Needs for Decision Support and Analytics.ġ.3. Opening Vignette: Sports Analytics-An Exciting Frontier for Learning and Understanding Applications of Analytics.ġ.2. Chapter 1: An Overview of Business Intelligence, Analytics, and Data Science.ġ.1.