Transforming Data with Intelligence



TDWI Business Analytics: Exploration, Experimentation and DiscoveryModule One: Introduction to Business AnalyticsDefining Business AnalyticsWhat is Analytics?Why Analytics? Business Analytics vs. Performance Management Analytic ProcessesDecision Analysis: Define, Disassemble, Evaluate, DecideProblem Analysis: Frame the Problem, Model the Problem, Model the Solution, Evaluate & LearnData Analysis: Data Profiling, Problem Statement, Modeling, Analysis, InterpretationThe Analytics EnvironmentAnalytics and BIEnterprise Data, Data Warehousing, User Data, and Local DataPeople, Tools, Organizations, and Analytic CultureCollaborative Analytics and Agile AnalyticsModule Two: Analytic ModelingModeling ConceptsModeling PurposeModeling SkillsProblem Modeling vs. Solution ModelingProblem ModelingFraming the ProblemInfluence DiagrammingGoal-Question-Metric-Measure (GQMM)Solution ModelingSpreadsheet EngineeringParameterizationBeyond SpreadsheetsModel RefinementSensitivity AnalysisStrategy AnalysisTesting and IterationError and CalibrationModule Three: Discovery AnalyticsHeuristic AnalysisHuman Thought ProcessesUncertainty and IncompletenessAnalyzing IntangiblesRules of ThumbSubjective ProbabilityEstimation - Best Guesses of the ExpertsQuantifying EstimatesVariation and DisagreementConfidence Intervals and Confidence LevelsHypothesis and ExperimentationFraming the Problem – Finding Interesting HypothesesDesigning ExperimentsTesting HypothesesKeeping the Data in SightFeedback and Learning Module Four: Statistics and DataFrom Data to StatisticsThe definitional section from current analytics courseStatistics and AnalyticsHistograms Distribution and DeviationRandomnessCorrelationRegressionData and AnalyticsFinding DataObservations, Populations, and SamplesRaw Data vs. Summary DataData Preparation and CleansingData VisualizationModule Five: People and Technology The Human Side of AnalyticsCommunicationConversationCollaborationThe Technology LandscapeStatistical Analysis ToolsData Visualization ToolsOpen Source AnalyticsData Analysis in ExcelAdvanced Analytics Module Six: Summary and ConclusionSummary of Key PointsReferences & Resources ................
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