Importance of Utilising Big Data Analytics in Enhancing Construction Data Management
With the extensive volume of data accumulation, the need for a powerful, and effective data management tool became prominent. As a result, Big Data Analytics became a major choice of data management for different industries. However, the adoption of Big Data Analytics has been slow in the construction industry. Therefore, this research focused on identifying the importance of utilising Big Data Analytics in construction industry. A comprehensive literature synthesis was conducted to identify the requirement for an effective data management tool such as Big Data Analytics. In this context, different types of data, the advantages of properly managing data in construction context, along with an overview of the evolution of Big Data in the construction was reviewed. Thereafter, a qualitative research approach was adopted as the appropriate approach and semi-structured interviews with industry practitioners from Construction and Information Technology sectors were conducted. According to the findings, it was proved that Big Data Analytics has immense potential in enhancing the overall quality of the industry by acting as a data management tool. Accordingly, it is evident that the utilisation of Big Data Analytics in construction projects is crucial for effective data management and ultimately for the enrichment of the construction industry
Year of publication: |
[2023]
|
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Authors: | Wattuhewa, R. M ; Waidyasekara, K.G. A.S ; Dilakshan, R |
Publisher: |
[S.l.] : SSRN |
Subject: | Management-Informationssystem | Management information system | Informationsmanagement | Information management | Data Mining | Data mining | Big Data | Big data |
Saved in:
freely available
Extent: | 1 Online-Ressource (10 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 10, 2023 erstellt |
Other identifiers: | 10.2139/ssrn.4475444 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014360376
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