Business Intelligence and Analytics in Small and Medium Enterprises

2019 ◽  
Author(s):  
Vivek N. Bhatt

The article focuses on the study of prevailing decision making styles of Small Scale Industrial (SSI) Units. It presents data collected from 200 SSI units from Bhavnagar – a coastal city of Gujarat, India. The objective of writing the article is to depict heuristic decision patterns of small and medium enterprises, and the rare use of analytical or statistical business intelligence tools in decision making processes. It would be interesting to study the design of decision taken on routine basis in small units, poorly equipped with technology and technical know-how. The paper is descriptive in terms, and lays a lucid picture of present decision making processes.


2015 ◽  
Vol 795 ◽  
pp. 123-128
Author(s):  
Leszek Kiełtyka ◽  
Klaudia Smoląg

Business intelligence (BI) solutions are aimed to help managers make decisions in enterprises. Through complex analysis, decision-makers are supported in building strategies of operation. Managers in small and medium-sized enterprises (SME) are also becoming more aware of the fact that conventional methodology of analysis of current events is insufficient. Therefore, the need arises for using the solutions that support the processes of data analysis, finding relationships between each other or pointing to important tendencies and anomalies. These systems were primarily oriented at larger enterprises. However, BI solutions are more and more often adjusted to SME enterprises, offering a complex tool to support decision-making processes. This paper presents key stages in evolution of BI systems and characterizes selected BI systems dedicated to small and medium enterprises (SMEs). Substantial barriers to implementation of BI systems in SMEs were also indicated.


Author(s):  
Jorge Luis Fernandez ◽  
Juan Edel Gutierrez ◽  
Luis A. Castro ◽  
Luis-Felipe Rodríguez

Entrepreneurs in Mexico start their businesses out of need, based on good ideas or to accomplish a “dream”. Nonetheless, starting out a business is not an easy task. Usually, business owners lack either professional background or financial knowledge, and focus only on keeping the business afloat, while trying to obtain profits. Business Intelligence and Analytics serve a great purpose in the growth of any company, but it is usually left out or ignored by small or medium enterprises, due to a lack of knowledge or because owners do not consider it necessary for a mid to long term plan. In the long run, businesses usually fail to achieve profit or cannot continue, and end up not knowing what went wrong. The information that a business generates could serve as a starting point for good and solid decision making, but the culture that dominates small and medium enterprises on any industry leaves important information unrecorded or unattended, forcing them to work based only on trial and error.


2021 ◽  
Vol 1 (2) ◽  
pp. 13-24
Author(s):  
Tahir Ahmad ◽  
Altaf Akbar

The objective of this research is to examine the aspects of Information System (IS) strategies, Business Intelligence, and Analytics (BI&A) used to enhance firm performance. The main purpose of this study is to assess the influence of IS strategy, BI&A impact on firm performance as well as to demonstrate the association of innovation ambidexterity between BI&A and firm performance. Statistically analyzed results were based on data obtained from a survey questionnaire filled out by 322 Indonesian, China, Japan, and Malaysian Small and Medium Enterprises employees. The findings revealed that IS strategies, business intelligence, and analytics use have a significant influence on firm performance. The findings also revealed that innovative adaptability is a mediating factor in the favourable relationship between BI&A use and business success. All of the hypotheses were supported and the partial least squares method was used to test them.


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