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Martin, Anjo (2024) Investigating the Role of Big Data Analytics in selected Irish Organisations towards Strategic Decisions. Masters thesis, Dublin, National College of Ireland.
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Abstract
This research has focused on evaluating the impact of BDA (big data analytics) on strategic decision making of selected Irish firms. The big data analytics plays an important role enhancing the performance level of the corporate firms. To obtain better insights on the impact of the big data analytics on the performance of the firms, some firms of Ireland have been taken into consideration. The impact can be witnessed in terms of enhancement in the annual revenue and profit. This also enables the business organisations to enhance their expenditure on research and development. The existing solutions to enhance the performance level of the business organisation include enhancement of the marketing strategy and the quality of the product in terms of features. However the needs and preferences of the consumers are not addressed significantly which is why firms must obtain insights to the changing preferences of the consumers, which can be better obtained using the big data analytics and applying them in their day to day business operations.
Some significant industries such as the financial sector, health care sector, manufacturing sector, retail sector and the telecommunication sector of Ireland has been chosen and some of top firms from the sector has been chosen. Financial data such as the annual revenue, annual profit, value of assets and expenditure on research and development has been obtained and presented graphically in order to obtain insights to the impact created by big data analytics on their performance level. This approach is better than the traditional approach in the way that this approach enables to obtain better insights on the performance level. It has been evaluated how BDA impact inventory management, innovation and organisational performances of the chosen Irish firms. There has been use of secondary quantitative data to execute this research. All the quantitative data have been collected from secondary sources such as scholarly articles, reports of selected Irish firms and credible reports. Thematic analysis has been applied to interpret all the quantitative data. The findings have helped in the process of inferring that the influence of BDA is extensive in the decision making process in the different Irish firms. Across varied sectors the changes is observed to be positive from the application of BDA.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Subhnil, Shubham UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > Economics > Business |
| Divisions: | School of Computing > Master of Science in Data Analytics |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 03 Sep 2025 13:55 |
| Last Modified: | 03 Sep 2025 13:55 |
| URI: | https://norma.ncirl.ie/id/eprint/8747 |
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