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1. Define scope and prepare data
Define model scope with key stakeholders
Identify, acquire and connect data sources
Perform feature engineering
4. Integrate and execute models **
Set up data preparation and monitor trends
Set up and execute on-going production processes
Monitor models with seemless refresh
2. Create models
Evaluate algorithms and tune hyperparameters
Train, test and select the best models
Validate models and simulate business results
5. Track business impact and ROI **
Review value delivery metrics and KPI impacts
Deep dive model insights session
Business process recommendations
3. Deliver model outputs and insights
Deliver model outputs usually within 3-4 weeks
Demonstrate model performance
Present model insights
** included with monthly service
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