book

Advanced Analytics Methodologies: Driving Business Value with Analytics

by Michele Chambers, Thomas W. Dinsmore

September 2014

Beginner to intermediate

336 pages

7h 41m

English

Pearson

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Deliver Business Value and ImpactFocus on the Last MileLeverage KaizenAccelerate Learning and ExecutionDifferentiate Your AnalyticsEmbed AnalyticsEstablish Modern Analytics ArchitectureBuild on Human FactorsCapitalize on ConsumerizationSummary

OverviewBusiness AreaDataApproachPrecisionAlgorithmsEmbeddingSpeedSummary
OverviewCase StudiesSummary
OverviewStep 1: Identify Key Business ObjectivesStep 2: Define Your Value ChainStep 3: Brainstorm Analytic Solution OpportunitiesStep 4: Describe Analytic Solution OpportunitiesStep 5: Create Decision ModelStep 6: Evaluate Analytic Solution OpportunitiesStep 7: Establish Analytics RoadmapStep 8: Evolve Your Analytics RoadmapSummary
OverviewStrategic AnalyticsManagerial AnalyticsOperational AnalyticsScientific AnalyticsCustomer-Facing AnalyticsSummary
OverviewPredictionExplanationForecastingDiscoverySimulationOptimizationSummary
Overview: The Modern Analytics ApproachDefine Business NeedsBuild the Analysis Data SetBuild the Predictive ModelDeploy the Predictive ModelSummary
OverviewStatistics and Machine LearningThe Impact of Big DataSupervised and Unsupervised LearningLinear Models and Linear RegressionGeneralized Linear ModelsGeneralized Additive ModelsLogistic RegressionEnhanced RegressionSurvival AnalysisDecision Tree LearningBayesian MethodsNeural Networks and Deep LearningSupport Vector MachinesEnsemble LearningAutomated LearningSummary
OverviewUser PersonasAnalytic Programming LanguagesBusiness User ToolsSummary
OverviewDistributed AnalyticsPredictive Analytics ArchitectureModern SQL PlatformsSummary
OverviewCultureData Scientist RoleSummary
OverviewCentralized versus Decentralized Analytics TeamCenter of ExcellenceChief Data Officer versus Chief Analytics OfficerLab TeamAnalytic Program OfficeSummary
Unsupervised Feed-Forward ArchitecturesKohonen’s Self-Organizing MapRelated Neural Network ArchitecturesExamples and Related Neural Network ModelsReferences

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About the Authors

Michele Chambers is the Vice President of Marketing for MemSQL. Prior to this, she served as Chief Strategy Officer and Vice President of Product Management & Marketing for Revolution Analytics, General Manager and Vice President for IBM Big Data Analytics, and General Manager and Vice President for Netezza Analytics. In these roles, Michele has worked with hundreds of customers to help them understand how to use analytics and technology to achieve high-impact business value.

Thomas W. Dinsmore is the Director of Product Management for Revolution Analytics. Previously, he served as an Analytics Solution Architect for IBM Big Data, SAS Consulting, and PricewaterhouseCoopers. Thomas has helped more than 500 enterprises around ...