Adoption of Business Intelligence Frameworks in Small and Medium Companies
BI applications include a wide range of activities for statistical analysis, Data mining, querying and reporting, business performance analysis, benchmarking, Online Analytical Processing (OLAP), Decision Support System (DSS), forecasting and predictive analysis. It provides organizations with meaningful information regarding employees, customers, suppliers and other business associates, which can be used in effective decision making. Up till 1989, a lot business decision-making system existed. In 1989, Howard Dresner coined the term “BI” which acted as an umbrella term for all such systems. The figure below shows how the decision making process is affected by application of BI. In this paper we will discuss, how the use of BI will improve the decision making capability of managers and what will be its impact on revenues. We will analyse the effectiveness and performance of companies who have implemented BI. We will also discus how BI can be implemented in various fields and its advantages. In an organization a lot of decisions are taken daily and it is very important to take effective decisions to achieve organization goals.
According to Yeoh, the term “business intelligence” was first coined by Luhn in 1958.
IT vendors also can use the results to determine which SMEs they should target.
IFC. IFC and Small and Medium Enterprises 2012 [cited 2016 November]
Olszak, C.M. and E. Ziemba, The conceptual model of a web learning portal for small and medium sized enterprises. Issues in Informing
Science and Information Technology, 2008. 5: p. 335-351.