Cognitive big data: survey and review on big data research and its implications. What is really “new” in big data?

Artur R. Lugmayr · Björn Stockleben · Christoph Scheib · Mathew A. Mailaparampil

63 citations0/0 files storedJournal of Knowledge Management

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Big Data Technologies and Applications Big Data and Business Intelligence Knowledge Management and Technology

Abstract

Purpose The purpose of this paper is to introduce and define Cognitive Big Data as a concept. Furthermore, it investigates what is really “new” in Big Data, as it seems to be a hyped-up concept that has emerged during recent years. The purpose is also to broaden the discussion around Big Data far beyond the common 4V (velocity, volume, veracity and variety) model. Design/methodology/approach The authors established an expert think tank to discuss the notion of Big Data, identify new characteristics and re-think what really is new in the idea of Big Data, by analyzing over 60 literature resources. They identified typical baseline scenarios (traffic, business processes, retail, health and social media) as a starting point from which they explored the notion of Big Data from different perspectives. Findings They concluded that the idea of Big Data is simply not new and recognized the need to re-think a new approach toward Big Data. The authors also introduced a five-Trait Framework for “Cognitive Big Data”, socio-technical system, data space, data richness, knowledge management (KM)/decision-making and visualization/sensory presentation. Research limitations/implications The viewpoint is centered on cognitive processes as KM process. Practical implications Data need to be made available in an understandable form for the right application context and in the right portion size that it can be turned into knowledge and eventually wisdom. The authors need to know about data that can be ignored, data that they are not aware of (dark data) and data that can be fully utilized for analysis (light data). In the foreground is the extension of human mental capabilities and data understandability. Social implications Cognitive Big Data implies a socio-technological knowledge system. Originality/value Introduction of cognitive Big Data as concept and framework.

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References

2012CRITICAL QUESTIONS FOR BIG DATA 1999How the Mind Works 1944An Experimental Study of Apparent Behavior 2012The filter bubble: how the new personalized Web is changing what we read and how we think 2011Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?2013Undefined By Data: A Survey of Big Data Definitions 1979Success and Understanding 1974The Cybernetic Theory of Decision: New Dimensions of Political Analysis

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