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End to End D&A Implementation
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Business case understanding
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Business Objectives
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Information needed
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Type of analysis
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Scope of work
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Data Requirements
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Data availability
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Initial data collection
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Data Sources
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Data Quality

Data Preparation
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Gather data from sources
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Cleanse
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Format
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Blent
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Data exploration
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Master data preparation
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Data Homogenization
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Data transformation
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Data Integration

Modeling
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Develop methodology
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Determine important variables
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Build model
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Assess model
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Predictive modeling
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Cognitive data enrichments
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Train model

Validation
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Evaluate results
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Review process
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Data conciliation
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Testing
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Quality assurance
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Determine next steps

Visualization & Presentation
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Determine the best method /graph to present insights
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Story telling
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Reporting
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Dashboarding
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Ad-hoc analytics
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Communicate results
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