To learn more about Decision Management refer to the product documentation HERE
Adobe Decision Management is a service provided as part of Adobe Journey Optimizer. This blueprint outlines the use cases and technical capabilities of the application and provides a deep dive into the various architectural components and considerations that make up Offer Decisioning.
Journey Optimizer is used to deliver the best offer and experience to your customers across all touch points at the right time. Offer Decisioning makes personalization easy with a central library of marketing offers and a decision engine that applies rules and constraints to rich, real-time profiles created by Adobe Experience Platform to help you send your customers the right offer at the right time.
The Decision Management capability consists in two main components:
Decision Management can be deployed in one of two ways, on the edge or via the hub. Each of these methods has a specific set of interfaces and protocols for operating the service as outlined in the respective blueprints referenced below. Additional details can also be obtained in the Decision Management Documentation HERE.
The first is via the Adobe Experience Platform hub, which is a central data center architecture. In the “hub” approach offers are executed, personalized, and delivered in >500ms latency. Thus the hub architecture is best suited for customer experiences that do not demand sub-second latency, examples include offer decisions which are provided for kiosks or agent assisted experiences such as in call centers or in person interactions. Offers that are inserted into emails, SMS messages, or push notifications and other outbound campaigns are also powered by the hub approach. To learn more about Decision Management on the hub refer to the Decision Management on the hub blueprint.
The second approach is via the Experience Edge Network, which is a globally distributed geographically located infrastructure to serve fast sub-second and millisecond experiences. The end consumer experience being executed by the edge infrastructure closest to the consumers geo-location to minimize latency. Decision Management on the Edge is designed to serve real-time consumer experiences such as web or mobile inbound personalization requests. To learn more about Decision Management on the Edge refer to the Decision Management on the edge blueprint.