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dynamic decisioning adDynamic Decisioning: Agility Rules with Applications that empower business decision makers.

The InRule™ business rule engine gives business decision makers control over the rules, logic and calculations that are at the heart of essential, everyday business operations.

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Agility Rules —
A Dynamic Decisioning Approach to Developing Flexible Applications

By Dr. Adrian Bowles

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Dynamic Decisioning helps frequent fliers. Read more

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Leading financial services firm uses Dynamic Decisioning for Risk Assessment Scorecards. Read more

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Business decision makers Business analysts and other subject matter experts create rules and calculations, resulting in agile, customisable applications for more effective business decision making in areas such as risk assessment, determining credit worthiness, and product pricing. InRule’s intuitive Business Language Authoring is designed so that even novice users can author, verify, and update rules. Read more.

IT architects and developers can manage and control how business logic is used across the enterprise: setting permissions, integrating rules into applications, and managing migration from one environment to another. InRule's rich development and integration capabilities are robust enough for complex, critical rule applications. Learn more.

Your business is dynamic. Are your applications?

Are you still using spreadsheets or hard-coded logic? The logic in a spreadsheet isn't visible to others and i's hard to share and apply consistently in other parts of the business. Hard coded logic is difficult, time consuming and expensive to change.

You need a way to deliver agile applications that empower business decision makers. That's what dynamic decisioning is all about!

Decisioning refers to the act of making business decisions that evaluate conditions or events and result in the choice of a logical path from multiple alternatives within a business process.

Dynamic decisioning refers to an automated system that can make these decisions on the fly, using a business rules engine during the execution of a business process.

For any system sufficiently complex to be of value to a business, there are too many variables and possible paths for evaluation to be able to foresee and include them all in the first release.  It is imperative to make the system logic visible and easy to change, so that it can adapt and evolve.


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