Canonical Modeling • Building a canonical and robust data model is crucial for organizing and representing data effectively. Here are some key steps and considerations to help you in this process: Understand the Business Requirements Conduct Data Analysis Define Entities and Relationships Normalize Data Define Attributes and Data Types Handle Data Hierarchies Document the Data Model Iterate and Validate Consider Industry Standards Maintain and Evolve the Data Model 1 2 3 4 5 6 7 8 9 10 By following these steps and considering the unique needs of your domain, you can build a canonical and robust data model tha t e ffectively represents and organizes your data for analysis, integration, and application development purposes.