Publikace: Components of Big Data Analytics for Strategic Management of Enterprise Architecture
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Lněnička, Martin
Máchová, Renáta
Komárková, Jitka
Čermáková, Ivana
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Vysoká škola báňská-Technická univerzita Ostrava
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The concept of strategic management is currently being under pressure to adopt big data analytics as a tool for improving efficiency of decision-making and monitoring processes in organizations. This paper aims to provide a systematic approach to map the benefits driven by big data analytics in terms of enterprise architecture focusing on the importance for strategic management. The key components are identified and discussed in the context of TOGAF. The findings can be used as a guide to help developers and designers in reframing their enterprise architecture efforts.
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big data analytics, strategic management, enterprise architecture, design science research, analýza big dat, strategický management, podniková architektura, design science research