Components of Big Data Analytics for Strategic Management of Enterprise Architecture

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39910402" target="_blank" >RIV/00216275:25410/17:39910402 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Components of Big Data Analytics for Strategic Management of Enterprise Architecture

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

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

ISBN

978-80-248-4046-8

ISSN

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e-ISSN

neuvedeno

Number of pages

9

Pages from-to

398-406

Publisher name

Vysoká škola báňská-Technická univerzita Ostrava

Place of publication

Ostrava

Event location

Ostrava

Event date

May 25, 2017

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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