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Think Big with Big Data : Identifying Suitable Big Data Strategies in Corporate Environments

Title data

Ebener, Katharina ; Bühnen, Thilo ; Urbach, Nils:
Think Big with Big Data : Identifying Suitable Big Data Strategies in Corporate Environments.
2014
Event: 47th Annual Hawaii International Conference on Systems Sciences (HICSS) , 06.-09.01.2014 , Waikoloa, USA.
(Conference item: Conference , Paper )

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Künstliche IntelligenzNo information

Abstract in another language

Businesses increasingly attempt to learn more about their customers, suppliers, and operations by using millions of networked sensors integrated, for example, in mobile phones, cashier systems, automobiles, or weather stations. This development raises the question of how companies manage to cope with these ever-increasing amounts of data, referred to as Big Data. Consequently, the aim of this paper is to identify different Big Data strategies a company may implement and provide a set of organizational contingency factors that influence strategy choice. In order to do so, we reviewed existing literature in the fields of Big Data analytics, data warehousing, and business intelligence and synthesized our findings into a contingency matrix that may support practitioners in choosing a suitable Big Data approach. We find that while every strategy can be beneficial under certain corporate circumstances, the hybrid approach – a combination of traditional relational database structures and Map Reduce techniques – is the strategy most often valuable for companies pursuing Big Data analytics.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and strategic IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and strategic IT management > Professorship Business Informations Systems and strategic IT management - Univ.-Prof. Dr. Nils Urbach
Profile Fields
Profile Fields > Emerging Fields
Profile Fields > Emerging Fields > Innovation and Consumer Protection
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 02 Apr 2015 06:05
Last Modified: 03 Jul 2019 11:56
URI: https://eref.uni-bayreuth.de/id/eprint/7948