Oracle Intelligent Advisor continues to be available as an on-premise offering (known as private cloud) and as a public cloud solution. Web Service and generic connectors provide integration interfaces for applications or platforms using JSON and XML, enabling them to be the source of input data and the target of the results of the automated decision. Full auditing, traceability, transcripts and decision reporting helps organizations understand and justify the decision automation outcomes.

Oracle Policy Modeling is a Windows desktop application for transforming legislation and business policy into executable business rules. Rules are written in Microsoft Word and Excel documents using phrases in languages such as English, Chinese and French.[5] These rule documents can be shared amongst business and information technology stakeholders, and commentary can be added into the documents without affecting the structure of the rules themselves. Other features of Oracle Policy Modeling include integrated test case execution and debugging capabilities, and the definition of interviews for interactive rule-based assessments. Interview screen order and branching logic can be defined using rules and attributes. The concept of relevancy is used to dynamically show only pertinent Screens.


Oracle Policy Automation


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Oracle Policy Automation (abbreviated OPA) is a suite of software products for modeling and deploying business rules within enterprise applications. Oracle Corporation acquired OPA in December 2008 when it purchased Australian software company RuleBurst Holdings, then trading as Haley. Oracle Policy Automation was designed by RuleBurst to transform legislation and policy documents into executable business rules, particularly for the calculation of benefit entitlements and payment amounts. Although OPA was originally developed for and sold to the public sector, it can be used in other industries. Oracle Policy Automation continues to be available as a standalone offering and an integrated rules solution for SAP and Siebel.

Oracle Policy Modeling is a Windows desktop application for transforming legislation and policy documents into executable business rules. Rules are written in Microsoft Word and Excel documents using phrases in languages such as English, Chinese and French.[1] These rule documents can be shared amongst business and information technology stakeholders, and commentary can be added into the documents without affecting the structure of the rules themselves. Other features of Oracle Policy Modeling include integrated test case execution and debugging capabilities, and the definition of interviews for interactive rule-based assessments. Interview screen order and branching logic can be defined using visual flow diagrams.

Boxfusion help businesses get the most from Oracle Intelligent Advisor - ensuring the tool helps customers with personalised self-service advice, guides agents to provide consistent and personalised service, and integrates intelligent decision-making into processes for accuracy, automation and compliance purposes.

This book concentrates on version 12 for public and private cloud, as for most consultants, this is the easiest platform to install in order to create policy models. Consultants looking to work in a private cloud installation that includes the Oracle Policy Automation Hub can find installation instructions on the Oracle website.

However, the mobile application offers a mobile-optimized user interface for both phones and tablets. This application is available for download from both the Apple Store and Google Play sites. An example screen is reproduced below. In chapter 10, you will learn how to give a user access to a policy on their mobile app.

Oracle Intelligent Advisor helps service agents deliver the right advice to every customer. This decision automation solution empowers business users to configure rules, ensuring that responses are consistent and transparent to deliver efficient, personalized, and intelligent customer service.

Understand the impact of a potential policy change by applying it to a realistic dataset so you can really appreciate how it will affect different demographic groups. Then use those projections to help you make the policy updates. Try different policy updates until you have the right changes. This is an under-utilised but very powerful feature of Intelligent Advisor.

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