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Decision Intelligence DEFINED: What does it Really Stand for?

12/3/2017

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A few years ago, when I first wrote about Decision Intelligence and presented my ideas during guest talks at universities abroad the concept was basically unknown. Today, it looks quite different and many companies and consultants of all sorts claim to have the 'right' definition of Decision Intelligence. We don't do that although I believe that we have been among the first ones that have used this term - a Google Search a few years ago resulted in less than 10 hits for the term "Decision Intelligence" but today there are thousands. 
Especially since Mastercard has introduced its "Mastercard Decision Intelligence" solution a few months ago the number of hits has risen dramatically. However, I believe that we need to clarify what "Decision Intelligence" really means. There is an interesting website about a one way to understand "Decision Intelligence" by Dr. Lorien Pratt. I really appreciate her work although I slightly disagree with her definition of Decision Intelligence. Then there are a few other companies that have early picked-up this term but - based on my understanding - have not really developed a consistent concept for "Decision Intelligence". 
In short, I believe that similar to terms like "Business Intelligence", "Competitive Intelligence", "Contextual Intelligence" etc. we will never reach a clear definition of "Decision Intelligence" that everybody agrees upon. However, I believe that our understanding of "Decision Intelligence" as the FIT between the intelligence (i.e. data, information, knowledge, insights) requirements of an organization/individual and the intelligence processing capacities of the same is flexible with respect to the tools and concepts it requires but still has a clear objective and projected outcome - the creation of competitive advantages. 
This is why I believe that our "Decision Intelligence" approach is significantly distinctive from others that have a tendency to focus too much on (advanced) analytics and ignore the important questions upfront - for example, what insights (defined as knowledge required to make a decision) do I really need and which frameworks and intelligence access to I require to succeed. 

The DECISION INTELLIGENCE (DI) Navigator
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The DI-Navigator summarizes our understanding of "Decision Intelligence" as the FIT between the intelligence requirements driven by numerous changes in the context of organizations/individuals ("Contextual Mindset") and their intelligence processing capacities in the form of "Framework Proficiency" & "Intelligence Access". This FIT results in the required insights to make decisions. However, insights only lead to competitive advantages in the form of improved company performance if these insights are turn into action in the form of strategy implementation without bias ("Decision Proficiency"). 
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    Decision Intelligence / Roger Moser

    Dr. Roger Moser

    Dr. Moser is an entrepreneurial academic who focuses on creating the FIT between the intelligence requirements of decision-makers and organizations and their intelligence processing capacities. He defines this FIT as the DECISION INTELLIGENCE of individuals and organizations. 
    Similar to Google's understanding Dr. Moser believes that DECISION INTELLIGENCE represents the interface between Data Science and Social/Managerial/Engineering/Natural Sciences. ​

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