Decision Management is the framework that ties business rules to business objectives and KPIs. A Decision Management approach to business rules begins by looking at business performance drivers, identifying the decisions that are impacting them, and analyzing what decisions will have the biggest return. Decision Management streamlines the implementation, ensures business ownership of the business rules, agility and continuous improvement of the decisions driving KPIs.

 

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This paper discusses decision management and the technology that supports the approach. It provides details on the technology used for operational decision making, introducing the available technology types and discussing what makes a technology product suitable. It also details the risks and issues involved in adopting Decision Management. How these risks might be mitigated is outlined, and an adoption scorecard to help select appropriate uses is proposed. A reference architecture and some definitions of terms complete the paper.

 

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Applying predictive analytics to operational decision making is the next wave of business innovation. Operational decisions drive interactions and determine the actions taken by an organization. Operational decisions are critical to how an organization treats, and is perceived by, its customers, its partners and its suppliers. Decision Management is the framework needed to fully exploit this opportunity.

 

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This paper defines Decision Management, discusses how to deliver it and shows how it can put predictive analytics to work throughout your organization.

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Today’s warranty systems deliver value to companies by increasing efficiency through process automation and workflow. The use of manual decision points within these processes and systems, however, creates bottlenecks and under-utilizes company expertise. Insight gained from data mining and analysis is restricted to the back office and IT resources cannot be freed up from systems maintenance. A new generation of warranty systems is required.

 

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