From FACTS to ACTION: A Starting Point for Discussions
Ever since I have been teaching “Decision Intelligence” to students and executives I integrate an exercise where I let them think about a few key terms that strongly affect the way we see and talk about the world today. These terms include Data, Information, Knowledge, Insight, Decision, Action as well as Facts, Experience, Expertise, Wisdom, Opinions among others. As much as we normally disagree in class about the exact definitions and the interdependencies between these terms, we also agree on the importance to create an advanced understanding in order to navigate in a Knowledge Society & Data-driven Economy.
In the following, I summarize the results of multiple discussions with students & executives with NO CLAIM to have the best possible framework (i.e. understanding) already.
Following really smart people like Cassie Kozyrkov, Chief Decision Scientist at Google, one of the most promising but also challenging tasks in today’s world is to turn DATA into ACTION. In order to do that, I have created a FRAMEWORK that summarizes the logic we have developed.
Let me explain its elements:
We have three levels:
Let me first introduce the RESULTS Level including:
While the RESULTS are rather easy to define and understand (although multiple variations exist in the academic and real-life world for each term), the ACTIVITIES that actually transform DATA into ACTION are much more difficult to agree upon or even define. In the following I try to provide an framework that might add to your understanding and your own interpretation of how to turn DATA into ACTION. The key ACTIVITIES are:
I want to emphasize again that the proposed framework is nothing else than a suggestion based on the numerous discussions with the students and executives in my “Decision Intelligence” courses at the University of St.Gallen, Switzerland. The framework consists of three levels:
Your suggestions to improve the framework are highly appreciated at: email@example.com
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.