Volume 43, Issue 2, August 2024, Pages 272–284
G.K.S. Nimishi1, R.S. Ranwala2, R.S.L.B. Ranasinghe3, G.S. Malalage4, and Suchindra Suchindra5
1 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
2 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
3 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
4 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
5 Department of Engineering, National Institute of Mental Health and Neurosciences, Karnataka State Govt, Bangalore, India
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Business intelligence (BI) today has evolved into a collection of sophisticated techniques that merge insights from business strategy, risk analysis, cognitive psychology, organizational behaviour and political science [2]. Business intelligence is also a force multiplier in terms of profit margin and was only seen as a deployable tool in large businesses a decade ago. Today, we see BI vendors catering to small businesses and this availability has become a buzzword from small to medium companies today. As BI evolved over years catering to large businesses in its sophistication and tools. BI vendors have also changed over years due to mergers and take overs. Such is the importance given to BI today that vendors complement each other in offering different tools and functions. In this paper, we will explore the business intelligence world and try to understand how different Business Intelligence vendor systems as a viable tool cater to small to medium business organizations.
Author Keywords: business intelligence, analysis, cognitive, psychology.
G.K.S. Nimishi1, R.S. Ranwala2, R.S.L.B. Ranasinghe3, G.S. Malalage4, and Suchindra Suchindra5
1 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
2 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
3 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
4 Department of Commerce and Financial Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
5 Department of Engineering, National Institute of Mental Health and Neurosciences, Karnataka State Govt, Bangalore, India
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Business intelligence (BI) today has evolved into a collection of sophisticated techniques that merge insights from business strategy, risk analysis, cognitive psychology, organizational behaviour and political science [2]. Business intelligence is also a force multiplier in terms of profit margin and was only seen as a deployable tool in large businesses a decade ago. Today, we see BI vendors catering to small businesses and this availability has become a buzzword from small to medium companies today. As BI evolved over years catering to large businesses in its sophistication and tools. BI vendors have also changed over years due to mergers and take overs. Such is the importance given to BI today that vendors complement each other in offering different tools and functions. In this paper, we will explore the business intelligence world and try to understand how different Business Intelligence vendor systems as a viable tool cater to small to medium business organizations.
Author Keywords: business intelligence, analysis, cognitive, psychology.
How to Cite this Article
G.K.S. Nimishi, R.S. Ranwala, R.S.L.B. Ranasinghe, G.S. Malalage, and Suchindra Suchindra, “Business Intelligence for Small-Medium Industry,” International Journal of Innovation and Applied Studies, vol. 43, no. 2, pp. 272–284, August 2024.
