The Blue Polaris Blog
The Analytics Value Chain: Operationalizing Analytics with Decision Modeling
Decision modeling and the graphical decision requirements diagram (DRD)helps analytics teams assess the predictive model’s value in business terms, select the right delivery option and know how to make the analytic actionable.
The Analytics Value Chain: Framing Analytics with Decision Modeling
A decision requirements diagram (DRD), developed with with the Decision Model and Notation (DMN) standard, provides analytics projects with focus and direction, delivering value quickly without huge upfront costs or time investment.
Knowledge Objects in DMN
There are two key knowledge objects in DMN—Business Knowledge Models (BKMs) and Knowledge Sources. They have quite different purposes despite the similar names. To help clarify, we have published a Best Practices Brief, Knowledge Objects in DMN.
How To Fix The Broken Links In The Analytics Value Chain
Here we see the classic challenge of analytics – 70% think it is very or extremely important but only 2% say their analytics efforts have a broad, positive impact. And like every other assessment of this problem, including ones we have conducted here at Decision Management Solutions, the problem is not in the data or in the analytics themselves! The problems are in framing the problem and operationalizing the results. Everyone seems to have the analytic technology they need but they just aren’t getting it to work for them.
DMN Decision Modeling Integration with a BRMS to the Execution Level
If you are interested in how decision modeling with DMN integrates with a BRMS to the execution level, here are two short demonstrations of our DMN decision modeling software, DecisionsFirst Modeler Enterprise Edition, Integrations with two leading BRMS’s:
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