CAPM Practice: Demonstrate an understanding of business analysis (BA) roles and responsibilities

Data modeling captures what data the system must store, how data entities relate to each other, and what attributes each entity has. BAs use data models (ERDs, data dictionaries) to define data requirements that inform database and system design.

**Why not B:** Building machine learning models for business intelligence is a data science activity, not data modeling in the BA context. BA data modeling defines the structure and relationships of data entities the solution must manage, not predictive or analytical ML models.

**Why not C:** Creating statistical models to predict project outcomes is a forecasting or analytics technique, not data modeling. Data modeling in business analysis defines entities, attributes, and relationships that inform database and system design.

**Why not D:** Modeling team capacity for resource planning is a project management activity related to staffing and workload. Data modeling in BA work focuses on the data structures and relationships that the solution needs to store and manage.