TY - JOUR
T1 - Cognitive big data
T2 - survey and review on big data research and its implications. What is really “new” in big data?
AU - Lugmayr, Artur
AU - Stockleben, Björn
AU - Scheib, Christoph
AU - Mailaparampil, Mathew A.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Cognition
KW - Data analysis
KW - Information management
KW - Knowledge-based systems
UR - http://www.scopus.com/inward/record.url?scp=85014772885&partnerID=8YFLogxK
U2 - 10.1108/JKM-07-2016-0307
DO - 10.1108/JKM-07-2016-0307
M3 - Article
AN - SCOPUS:85014772885
SN - 1367-3270
VL - 21
SP - 197
EP - 212
JO - Journal of Knowledge Management
JF - Journal of Knowledge Management
IS - 1
ER -