One of the most popular systems development life cycle methods is prototyping.

A conceptual schema is usually depicted in graphical format using E-R or object-modeling notations.

The goal of information systems planning is to align information technology with the business strategies of the organization.

Functional decomposition is the process of breaking down the functions of an organization into greater levels of detail.

The physical database design identifies data integrity and security requirements.

The longest step of database development is database maintenance.

Packaged data models can reduce implementation times and costs.

Incremental commitment does not allow a project to be easily redirected or to be terminated.

With an enterprise data model, it is much easier to build applications because you know exactly what data exist and what needs to be added.

There are three stages involved when analyzing the initiation of an information systems project.

There is one physical schema for each logical schema.

The most important reason for data architecture is reliability.

The systems development life cycle cannot be used with database implementation.

Enterprise data modeling typically occurs during information systems planning.

During logical database design, the conceptual data model is transformed into a logical data model which describes the data in terms of a specific data management technology.