Oracle Real-Time Decisions

DECISION MANAGEMENT with DECISION OPTIMIZATION DELIVERS QUANTIFIABLE RESULTS

• Personalized, Optimized and Context Centric Decisions—For the 1000’s if not millions of interactions you have with your customers, always deliver in context the right offer, message, recommendation, treatment or action tailored and personalized within the “moment of impact” to deliver unequaled value.
• Cross-Channel Learning & Decisions—A multichannel customer experience platform for true cross channel Decisioning that enables consistent operational Decisions for the web channel, in the contact center, or the point-of-sale, and across all lines of business. The automatic insights derived from one channel are seamlessly used both within and across other channels.
• One Single Solution for Multiple Decision Management Use Cases—One single technology platform to manage and optimize any Decision Management use case whether it be customer acquisition targeting, email targeting and personalization, risk and fraud, content personalization, customer retention programs, A/B and multivariate testing and operational process optimization to name a few.

DECISION MANAGEMENT

• A Complete Decision Framework leveraging Data, Rules and Predictive Models—A balanced Decision Management Framework that combines both business rules and self-learning predictive models. Arbitrate rules and predictive model scores in the context of organizational goals/KPI’s at the moment of a Decision’s execution.
• Closed Loop Business Intelligence & Insight Discovery—Closed loop real-time learning becomes immediately available for the next prediction to drive adaptive, high-value interactions. Discover and highlight important correlations in the data automatically by way of user-friendly reports. Automated data discovery effortlessly leads user to the right and relevant business insights.
• Business Controls supporting Collaboration over End to End Decision Lifecycles—A rich web based user application to manage, analyze and refine Decisions over their entire lifecycle. Role based access controls for users to visualize, author, refine, version, audit and collaborate on Decisions and Decision logic.

DECISION OPTIMIZATION

• Adaptive Targeting Automation with Self Learning—Self-learning predictive analytics automatically learns from each interaction by autonomously updating predictive models with empirical observations of data. Self-learning is used in Decision automation, where optimized choices are made based on prior learnings and current context. Self-learning drives adaptive targeting where meaningful and relevant content is delivered to the right audience at the right time.
• Decision Services for Business Process Optimization—The Decision server automatically renders Decisions within a business process creating actionable intelligence from data flowing through the process in real time. Easily integrate Decision Services into existing business processes. Seamlessly deliver process optimization without any compromise in process performance, reliability or maintainability.
• Scalable and Flexible Enterprise Infrastructure—Built on a service-oriented architecture (SOA) industry-standard J2EE application architecture provides mission critical performance, scalability and reliability for customer interaction points like eCommerce, point of sale and contact center. In addition, RTD is designed for rapid systems integration and is easily integrated with your key systems through industry standards such as web services, XML SOAP and JDBC.