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BPA and Modelling Outline - Coggle Diagram
BPA and Modelling Outline
5.Model Planning
Methodology for model selection
Prescriptive and Descriptive Modelling
Selection Criteria
Statistics vs Machine Learning
8.Model Deployment
Data and Model Storage
Plan Monitoring
Deployment Plan
Model Recalibation
Deployment Tasks
Closing a project
7.Model Evaluation and Case study
Evaluation Metrics
Models with probability outputs
Regression metrics
Sources of degraded performance
Application of Problem Analytics for customer retention use case
Identifying a business problem
Requairement, Stakeholders, Problem Assessment
Refinement, Value and Cost
Framing Business Problem
analytics Problem Framing
Kano'smodel
Quality Function Deployment (QFD)
Steps in framing an analytics problem
House of Quality(HoQ)
4.Data Collection
Data Collection Techniques
Sample Design
Data Types
Sampling Plan
6.Buidling a model
Classification of Models
Data Partitioning methods
Model Structure and parameters
Optimization models
Linear programming models
Goal Programming
Non-linear Programming
1.introduction to data modelling
Conceptual Models
Common Organizational applictions
Business Process Competencies
Frameworks for Data Analytics Projects
[Data Science Process](
Information Action Value Chain, CONVO Framework and CRISP-DM Framework