Dimensional Situation Analytics: From Data to Wisdom

In the late 80s, Ackoff first proposed a cognitive category upon the content of human mind, which included Data, Information, Knowledge and Wisdom, or DIKW. Since then, the DIKW hierarchy has attracted a flurry of further research studies. Its applications include ontology composition, decision making theory, domain specific engineering theory, software design thought process automation, etc., to name a few. Partially based on our previous work on human centric situation studies, we propose a dimensional situation analytics towards a new view on the DIKW hierarchy. By incorporating functional MapReduce computing paradigm, we present in this paper a novel (MR)2 paradigm, which refers to two consecutive MapReduce that cut across the boundaries between Data, Information, Knowledge and Wisdom. We argue that our (MR)2 paradigm promotes comprehensive decision making and therefore, offers new insights in knowledge transformation from data to wisdom.