Data Science, Industrial Data Science.
following stages, 1. Business problem understanding 2. Define objectives 3. Value capture methodology 4. Data Collection 5. Data Preprocessing 6. Model Development (Model selection, training, evaluation, and optimization) 7. Pilot Testing 8. Production Deployment 9. Monitoring Business problem