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Oracle Analytics, Enterprise Performance Management (EPM) and Big Data Updates for Oracle Partners in Europe,...

Real-Time Decisions on Big Data

Mike Hallett
Partner Development for Business Analytics

By continuously
learning in real time, an adaptive solution can predict and optimize the
outcome of each transaction, thereby improving the customer experience and
maximising revenues. With increasing
amounts and speeds of data acquisition, the solution needed for this must make many
decisions automatically and very quickly (for example in less than a Tenth of a
second for an effective eCommerce application) based on large amounts of data.

Many of our recent Big Data customer projects are driven by this need
for high value real time decisions. As a Partners you can offer excellent ROI to you clients by deploying
Oracle RTD (Real Time Decisions) to
combine both rules and predictive
analytics; instilling real-time intelligence into business processes or
customer interactions as they happens.

Oracle Real-Time Decisions allows business users to adjust rules and
predictive based decisions to optimize competing business goals, such as
increasing revenue while decreasing servicing costs. Technically, RTD is based on an Open Service-Oriented
J2EE Architecture - built on a service-oriented architecture (SOA) using
industry-standard J2EE application servers (such as Oracle Application Server,
BEA WebLogic and IBM WebSphere), and can be readily incorporated into many
existing or new applications.

The Oracle
Real-Time Decisions Base Application is a library of pre-configured components
representing best practices for Decision Management implementations using
Oracle Real-Time Decisions. The library contains two types of component:
pre-configured Decision Services that can be used to implement specific
decision patterns and Application Components that can be used by business users
to support their decision management needs. The pre-configured Decision
Services provide best practice patterns for E-Commerce and Customer Service
interactions optimization, and contain hundreds of pre-built elements such as
performance goals, data attributes, predictive models and reports. The
pre-configured Application Components address the needs of business users in
terms of content authoring, access and version control, search, collaboration
and workflow integration.

These Application
Components are then assembled together into a pre-configured Decision Management
application for Marketing Optimization, a turn-key deployable solution for
real-time inbound marketing optimization and collaborative decision management,
now available as a component of the Oracle Real-Time Decisions Base
Application.

For example, in
the context of E-Commerce, the Oracle Real-Time Decisions Base Application
provides a generalized Inline Service for the purpose of optimizing E-Commerce
interactions for Oracle or non-Oracle E-Commerce systems, while Oracle
Real-Time Decisions for Siebel E-Commerce
is a pre-packaged version of the
above mentioned Inline Service that has been tailored for the Siebel E-Commerce
Application. Similarly, the Siebel Intelligent Offer Generation product (IOG)
extends Siebel Marketing and Siebel Contact Center with RTD capabilities for
Contact Call Centres.

For more information
see RTD on OTN, and at Oracle.com.

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