Wednesday Oct 28, 2015

Predictive and Advanced Analytics with Oracle BI

Partners can differentiate their services by adding extra smart predictive and advanced analytics to Oracle BI deployment projects.  Indeed OBI 12c now includes some capabilities integrated into OBI: but there are many additional techniques and tools to provide “data science” integrating Oracle Database, OBI and Hadoop with Advanced Analytics.

The core database Oracle Advanced Analytics product consists of two components, and you can learn more of these from a series of on-demand free of charge tutorials:

And there is a more general introduction @ Video Lecture Series Data Science Boot-Camp Tutorials. To get some practice on getting this all to work together, you can download pre-packaged VMs from OTN all set up ready to work:

Oracle University also offers Data Mining Techniques, available as Training on Demand, which includes access to labs to do the practical - you can see a demo on this course hereThere is also the Oracle R Enterprise Essentials course available as a scheduled Live Virtual Class.

There are many more aspects to “Advanced Analytics” with Oracle, for example you can follow some articles @ advanced and @ and Among the other components critical to specific types of analytical problems are the Spatial and the RDF-Graph options which run in the Database and we now have Big Data Spatial and Graph Analytics for Hadoop.

Oracle can even provide Real-Time Decisions using machine learning to make optimal decisions in the circa 100ms timeframe; reacting to events such as fraud detection, machine failure or to increase revenue by improving the probability of click-to-buy on a web-commerce shopping cart.

Thursday Mar 12, 2015

Oracle Real Time Decisions hands-on Technical 2-Day Training Workshop

Apr 16 - Apr 17, 2015 in London, UK - Partners from all countries welcome.

This Oracle Real Time Decisions (RTD) hands-on technical 2-Day training course is designed for Partner individuals on the implementation team responsible for RTD installation and administration, to enable participants to perform tasks required to successfully configure and deploy RTD with their operational applications. Participants learn about various aspects of integration between RTD and target applications, including Siebel Call Center and E-Commerce, and are prepared to engage on RTD deployment projects at all levels of the project lifecycle, from gathering requirements to production rollout and monitoring.

The course introduces the RTD platform, describing its features, function, and capabilities. It also covers the RTD architecture, platform, and pre-built Base and Specialized solutions, including RTD for Intelligent Offer Generation and RTD for E-Commerce. The lesson topics are reinforced with structured hands-on practices during which participants create and deploy a fully functional inline service project from scratch.  This training is free of charge to OPN member partners.

Tuesday Dec 02, 2014

Real-Time Decisions on Big Data

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

Tuesday Apr 01, 2014

Real-Time Decision (RTD) Management Solutions

There is increasing value for organizations who can respond with situational awareness in real time with event-based Decision Management Systems, especially for:
  1. Real-time marketing – to give personalised offers most likely to increase revenue
  2. Proactive customer support – to deliver that superior customer experience
  3. Fraud detection – to stop and counter risk and loss
  4. Internet of Things – responding effectively to Sensor feeds

Find out more how Oracle Partners can help their Clients with RTD, eCommerce & Insight:

Monday Jul 22, 2013

Derive Business Value from Big Data Analytics

Take a look at the new coverage for Big Data Analytics on the site:

Hidden in all the new volumes and varieties of big data is the information your client’s need to grow revenue, cut costs, and innovate. Big data can transform your business, but you have to uncover that new insight with Big Data Analytics.

Friday Jul 05, 2013

Oracle Real-Time Decisions Review by James Taylor

Take a look at this new seven minute video on RTD recorded with James Taylor (the leading independent analyst of ) explaining decision management and the links to big data analytics and “CX” Customer Experience.  He also provides his view on Oracle RTD. 

Tuesday Nov 29, 2011

Closed-loop Recommendation Engines: Analyst Insight report on Oracle Real-Time Decisions (RTD)

In November 2011, Helena Schwenk of MWD Advisors, published her analysis on Oracle Real-Time Decisions.  She summarizes as follows: "In contrast to other popular approaches to implementing predictive analytics, RTD focuses on learning from each interaction and using these insights to adjust what is presented, offered or displayed to a customer. Likewise its capabilities for optimising decisions within the context of specific business goals and a report-driven framework for assessing the performance of models and decisions make it a strong contender for organisations that want to continuously improve decision making as part of a customer experience marketing, e-commerce optimisation and operational process efficiency initiative."

This is an outstanding report to share with a prospect or client as it goes into great detail about the product and its capabilities.  It also highlights the differences in Oracle's Real-Time Decisions product vs. other closed loop recommendation engines.

I encourage you to share this report with your clients and prospects. It can be downloaded directly from here - MWD Advisors Vendor Profile: Oracle Real-Time Decisions. (expires in November 2012)


"At the core of RTD lies a learning engine that combines business rules and adaptive predictive models to deliver recommendations to operational systems while simultaneously learning from experiences."

"While closed-loop recommendation engines are becoming more prevalent... there are a number of features that distinguish RTD:

  • It makes its decisions in the context of the business objectives, such as maximising customer revenue or reducing service costs
  • Its support for operational integration offers organisations some flexibility in how they implement the offering."



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