On one side, it uses descriptive and predictive models to gain valuable knowledge from data - data analysis.

Unlike predictive models that focus on predicting a single customer behavior (such as credit risk), descriptive models identify many different relationships between customers or products.

Instead, descriptive models can be used, for example, to categorize customers by their product preferences and life stage.

According to Apostel, a worldview is an ontology, or a descriptive model of the world.

As soon as 1961, he questioned the validity of case-based descriptive models by opposing them to normative models.

Integrative neuroscience attempts to consolidate these observations through unified descriptive models and databases of behavioral measures and recordings.

An algorithm, called the classifier, is then used on the categories, creating a descriptive model for each.

In this sense, the grammatical-induction problem can be said to seek a generative model, while the decision-rule problem seeks a descriptive model.

This is a descriptive model that attempts to explain why individuals make a decision, rather than propose an optimal decision.

A metamodel is a simplified or approximated descriptive model of another descriptive model.