Use of conventional business intelligence (bi) systems as the future of big data analysis
Traditional Business Intelligence (BI) systems employ a combination of source systems, databases, data repositories, data warehouses, and analytical tools to gain insights into business operations and chart future organizational strategies. These BI systems typically rely on structured data extracte...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Science and Education Publishing Co. Ltd
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/96721 |
| _version_ | 1848766192423010304 |
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| author | Majid, Molla E Marinova, Dora Hossain, Amzad Chowdhury, M.E.H. Rummani, F. |
| author_facet | Majid, Molla E Marinova, Dora Hossain, Amzad Chowdhury, M.E.H. Rummani, F. |
| author_sort | Majid, Molla E |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Traditional Business Intelligence (BI) systems employ a combination of source systems, databases, data repositories, data warehouses, and analytical tools to gain insights into business operations and chart future organizational strategies. These BI systems typically rely on structured data extracted from the underlying source system databases. However, organizations are increasingly harnessing vast amounts of big data from diverse sources, which often include semi-structured and unstructured data. The BI systems currently in use were initially designed with structured organizational datasets in mind. As the volume of big data required for informed decision-making continues to grow, a pressing question arises: can the existing BI systems effectively analyse this diverse and expansive data landscape? This research seeks to assess the adaptability of current BI systems to analyse big data
and presents potential strategies for addressing this evolving data landscape. |
| first_indexed | 2025-11-14T11:47:14Z |
| format | Journal Article |
| id | curtin-20.500.11937-96721 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:47:14Z |
| publishDate | 2024 |
| publisher | Science and Education Publishing Co. Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-967212025-01-17T05:13:56Z Use of conventional business intelligence (bi) systems as the future of big data analysis Majid, Molla E Marinova, Dora Hossain, Amzad Chowdhury, M.E.H. Rummani, F. Traditional Business Intelligence (BI) systems employ a combination of source systems, databases, data repositories, data warehouses, and analytical tools to gain insights into business operations and chart future organizational strategies. These BI systems typically rely on structured data extracted from the underlying source system databases. However, organizations are increasingly harnessing vast amounts of big data from diverse sources, which often include semi-structured and unstructured data. The BI systems currently in use were initially designed with structured organizational datasets in mind. As the volume of big data required for informed decision-making continues to grow, a pressing question arises: can the existing BI systems effectively analyse this diverse and expansive data landscape? This research seeks to assess the adaptability of current BI systems to analyse big data and presents potential strategies for addressing this evolving data landscape. 2024 Journal Article http://hdl.handle.net/20.500.11937/96721 10.12691/ajis-9-1-1 https://creativecommons.org/licenses/by/4.0/ Science and Education Publishing Co. Ltd fulltext |
| spellingShingle | Majid, Molla E Marinova, Dora Hossain, Amzad Chowdhury, M.E.H. Rummani, F. Use of conventional business intelligence (bi) systems as the future of big data analysis |
| title | Use of conventional business intelligence (bi) systems as the future of big data analysis |
| title_full | Use of conventional business intelligence (bi) systems as the future of big data analysis |
| title_fullStr | Use of conventional business intelligence (bi) systems as the future of big data analysis |
| title_full_unstemmed | Use of conventional business intelligence (bi) systems as the future of big data analysis |
| title_short | Use of conventional business intelligence (bi) systems as the future of big data analysis |
| title_sort | use of conventional business intelligence (bi) systems as the future of big data analysis |
| url | http://hdl.handle.net/20.500.11937/96721 |