This section presents a sample methodology for constructing models in the three modeling views of the framework. The modeling steps are explained in a top-down fashion, starting from high level business strategies towards machine learning solution design and data preparation workflows.

Construction of the models in each view is meant to be led by different roles. Business View models can be built primarily by business analysts. Analytics Design View models can be constructed and updated mainly by data scientists (who create, implement, or apply machine learning algorithms). Data Preparation View models can be created primarily by database administrators and data engineers (who have a solid understanding of existing data assets, database design and queries in the business domain).

In real-world projects, there can be variations and overlaps in such roles depending on the nature and complexity of the problem and structure of the project.

Refer to the following links to learn about the methodology of each individual view:

Business View
Analytics Design View
Data Preparation View