Data Layer

📄️ Data Layer Overview

A data layer serves as the foundation where users define the building blocks for creating attributes. At its core, creating a data layer involves selecting the necessary datasets to design attributes effectively.

📄️ Creating a Data layer

As mentioned in the Data Layer Overview, most organizations typically require only a single data layer. However, additional data layers can be created to support specific needs, such as distinct brands or customer-facing identities with separate dataset inputs or cases where resulting attributes and audiences need to remain independent. Syntasa staff will assist you in designing and creating the necessary data layer(s).

📄️ Data Layer Dependencies

Attribute and audience groups are created within the data layer. Starting with version 8.0.0, every data layer automatically includes an attribute app and an audience app. These apps are created in the background whenever an attribute or audience group is defined.

📄️ Attribute and Audience Results Table

The Attribute and Audience Results Tables serve as foundational components for managing and analyzing visitor behavior and audience segmentation within a data layer. These tables enable users to store, preview, and analyze the outcomes of attribute and audience group definitions, ensuring streamlined access to actionable insights. Each type of result table caters to a specific functionality, aiding in the effective execution of audience-building processes and downstream integrations.