Discussing Relations Between Dynamic Business Environments and Big Data Analytics
Big data attracts researchers and practitioners around the globe in their desire to effectively manage the data deluge resulting from the ongoing evolution of the information systems domain. Consequently, many decision makers attempt to harness the potentials arising with the use of those modern tec...
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| Format: | Article |
| Language: | English |
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Riga Technical University
2020-07-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/4048 |
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| _version_ | 1849220744727232512 |
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| author | Daniel Staegemann Matthias Volk Christian Daase Klaus Turowski |
| author_facet | Daniel Staegemann Matthias Volk Christian Daase Klaus Turowski |
| author_sort | Daniel Staegemann |
| collection | DOAJ |
| description | Big data attracts researchers and practitioners around the globe in their desire to effectively manage the data deluge resulting from the ongoing evolution of the information systems domain. Consequently, many decision makers attempt to harness the potentials arising with the use of those modern technologies in a multitude of application scenarios. As a result, big data has gained an important role for many businesses. However, as of today, the developed solutions are oftentimes perceived as completed products, without considering that the application in highly dynamic environments might benefit from a deviation of this approach. Relevant data sources as well as the questions that are supposed to be answered by their analysis may change rapidly and so do subsequently the requirements regarding the functionalities of the system. To our knowledge, while big data itself is a prominent topic, fields of application that are likely to evolve in a short period of time and the resulting consequences were not specifically investigated until now. Therefore, this research aims to overcome this paucity by clarifying the relation between dynamic business environments and big data analytics (BDA), sensitizing researchers and practitioners for future big data engineering activities. Apart from a thorough literature review, expert interviews are conducted that evaluate the made inferences regarding dynamic and stable influencing factors, the influence of dynamic environments on BDA applications as well as possible countermeasures. The ascertained insights are condensed into a proposal for decision making, facilitating the alignment of BDA and business needs in dynamic business environments. |
| format | Article |
| id | doaj-art-c632d5d45e4b4c6299d15e4eff4aad84 |
| institution | Kabale University |
| issn | 2255-9922 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | Riga Technical University |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-c632d5d45e4b4c6299d15e4eff4aad842024-12-05T09:56:30ZengRiga Technical UniversityComplex Systems Informatics and Modeling Quarterly2255-99222020-07-01023588210.7250/csimq.2020-23.052250Discussing Relations Between Dynamic Business Environments and Big Data AnalyticsDaniel Staegemann0Matthias Volk1Christian Daase2Klaus Turowski3Faculty of Computer Science, Otto-von-Guericke-University, MagdeburgFaculty of Computer Science, Otto-von-Guericke-University, MagdeburgFaculty of Computer Science, Otto-von-Guericke-University, MagdeburgFaculty of Computer Science, Otto-von-Guericke-University, MagdeburgBig data attracts researchers and practitioners around the globe in their desire to effectively manage the data deluge resulting from the ongoing evolution of the information systems domain. Consequently, many decision makers attempt to harness the potentials arising with the use of those modern technologies in a multitude of application scenarios. As a result, big data has gained an important role for many businesses. However, as of today, the developed solutions are oftentimes perceived as completed products, without considering that the application in highly dynamic environments might benefit from a deviation of this approach. Relevant data sources as well as the questions that are supposed to be answered by their analysis may change rapidly and so do subsequently the requirements regarding the functionalities of the system. To our knowledge, while big data itself is a prominent topic, fields of application that are likely to evolve in a short period of time and the resulting consequences were not specifically investigated until now. Therefore, this research aims to overcome this paucity by clarifying the relation between dynamic business environments and big data analytics (BDA), sensitizing researchers and practitioners for future big data engineering activities. Apart from a thorough literature review, expert interviews are conducted that evaluate the made inferences regarding dynamic and stable influencing factors, the influence of dynamic environments on BDA applications as well as possible countermeasures. The ascertained insights are condensed into a proposal for decision making, facilitating the alignment of BDA and business needs in dynamic business environments.https://csimq-journals.rtu.lv/article/view/4048business it alignmentdynamic business environmentsdata analyticsbig datasystems engineering |
| spellingShingle | Daniel Staegemann Matthias Volk Christian Daase Klaus Turowski Discussing Relations Between Dynamic Business Environments and Big Data Analytics Complex Systems Informatics and Modeling Quarterly business it alignment dynamic business environments data analytics big data systems engineering |
| title | Discussing Relations Between Dynamic Business Environments and Big Data Analytics |
| title_full | Discussing Relations Between Dynamic Business Environments and Big Data Analytics |
| title_fullStr | Discussing Relations Between Dynamic Business Environments and Big Data Analytics |
| title_full_unstemmed | Discussing Relations Between Dynamic Business Environments and Big Data Analytics |
| title_short | Discussing Relations Between Dynamic Business Environments and Big Data Analytics |
| title_sort | discussing relations between dynamic business environments and big data analytics |
| topic | business it alignment dynamic business environments data analytics big data systems engineering |
| url | https://csimq-journals.rtu.lv/article/view/4048 |
| work_keys_str_mv | AT danielstaegemann discussingrelationsbetweendynamicbusinessenvironmentsandbigdataanalytics AT matthiasvolk discussingrelationsbetweendynamicbusinessenvironmentsandbigdataanalytics AT christiandaase discussingrelationsbetweendynamicbusinessenvironmentsandbigdataanalytics AT klausturowski discussingrelationsbetweendynamicbusinessenvironmentsandbigdataanalytics |