An International Institute for Analytics (IIA) Research Brief
Organizations are struggling to create a scalable, sustainable operating model for decisions driven by predictive analytics. In particular, organizations need to:
- Ensure that predictive analytic projects address real business problems.
- Engage a broad business audience in defining these problems.
- Prioritize projects based on these definitions.
- Ensure their analytic efforts deliver solutions to these problems.
Decision modeling using the Decision Model and Notation (DMN) standard is an approach that explicitly defines the decision that will be improved by the predictive analytic before beginning the project. By identifying the business problem in this way, organizations can ensure that predictive analytic efforts can be compared and prioritized while creating a shared understanding of the business problem and improving the odds of a successful implementation of the predictive analytics developed.
This IIA Research brief outlines the steps to get started quickly and effectively with decision modeling for your ongoing or new analytics efforts.
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