Describe three indicators that suggest a data model is good.

Accuracy: A good data model accurately represents the business requirements and rules. It should reflect the reality it is designed to represent. This means that the data model should be able to handle all the data inputs and outputs required by the business processes.

Flexibility: A good data model is flexible and can adapt to changes in business requirements. This means that if the business rules or processes change, the data model should be able to accommodate these changes with minimal impact on the existing system.

Efficiency: A good data model is efficient in terms of storage and retrieval of data. This means that the data model should be designed in such a way that it minimizes redundancy and ensures data integrity. It should also allow for efficient querying and reporting.