A schema defines the structure of data that will be stored within your system. A schema must be designed in a way that effectively maps the data that you have, to the type of analysis that is going to be carried out.
Structuring your data in a way that is easy to understand is important because correctly organizing data increases the likelihood of finding key information that relates to your investigation.
Data that will be stored within your system must be defined by using an entity, link, and property-based model. Structuring your data in this format to fit the specifications of your investigation is called data modeling.
You can use the Schema Designer to classify your data to resemble your data model. Data classification involves creating components within your schema for the data that will be stored in terms of entity and link types, with their property types.
Creating an effective schema involves several cycles of reviewing and testing before it is uploaded into a production environment. This process reduces the need for changes during production that can affect the data within your system.