Components of Big Data Analytics for Strategic Management of Enterprise Architecture

Lněnička, Martin; Máchová, Renáta; Komárková, Jitka; Čermáková, Ivana

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Components of Big Data Analytics for Strategic Management of Enterprise Architecture

Lněnička, Martin; Máchová, Renáta; Komárková, Jitka; Čermáková, Ivana

Soubory tohoto záznamu

URI: http://hdl.handle.net/10195/69527

Datum publikování: 2017

Typ dokumentu: ConferenceObject

Zdrojový dokument: SMSIS 2017 : Proceedings of the 12th International Conference on Strategic Management and its Support by Information Systems

Vydavatelská verze: http://toc.proceedings.com/34658webtoc.pdf

Název akce 12th International Conference on Strategic Management and its Support by Information Systems 2017, SMSIS 2017 (25.05.2017 - 26.05.2017)

Abstrakt:

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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