How high will your customer interaction volume go? No matter. SAS has the scalability and the enterprise data throughput to handle high-volume customer interactions so you can deliver millions of offers via inbound channels.
Even when you use advanced decision-making techniques, a delay in making a decision – or not making a decision at all – can have a significant negative impact on customer experiences. Failover and sophisticated error-handling capabilities guarantee that the best decision regarding the best customer action will be delivered every time – even when there are complications during decision processing.
Designed with high-volume, low-latency, customer-facing environments in mind, SAS Real-Time Decision Manager is built on a multitier architecture with server clustering capabilities to ensure that intelligent customer decisions are made and high-quality customer experiences delivered even in high-volume, 24/7 environments.
Parsing and generating XML messages can be expensive and may also affect throughput. New Java classes, such as the SAS Decision Services Client Application Programming Interface for Java, enable applications to execute campaigns without the overhead of parsing and generating XML messages.
SAS uses an efficient, proprietary protocol to marshal messages over HTTP. Using this API, a Java application can avoid the overhead associated with parsing and generating XML-based messages and can significantly improve system throughput.