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Adoption of Business Intelligence Frameworks in Small and Medium Companies

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Nowadays, managing business performance is becoming a relatively difficult and complexprocess for managers since it is undertaking major change both in research and practice. With thegrowing global interest in Business intelligence (BI), it has also been identified as an importantrole for small and medium-sized enterprises (SMEs) to satisfy their customer’s needs byanalyzing through BI system.

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Business Intelligence or BI is a computer-based system which is used by organizations for decision making purpose. It consist of huge data warehouse or data marts of business data, from which it performs mining, spotting, digging or analysing operations to produce appropriate results or reports

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.

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“Small and medium-sized enterprises (SMEs) account for about 90 percent of businesses and more than 50 percent of employment worldwide according to the International Finance Corporation”(IFC, p.1). They play a major economic and social role, and therefore, they have become a source of economic development. Thus, the need to improve SMEs’ competitiveness worldwide is crucial. However, SMEs are typically vulnerable and not robust enough to withstand the onslaught of economic and global competition. In order to survive, they must be able to monitor their business and use all their resources efficiently, especially information resource (Raj, R., S.H.S. Wong). Business intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform the raw data into meaningful and useful information which allows users to make informed business decisions with realtime data

According to Yeoh, the term “business intelligence” was first coined by Luhn in 1958.

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As has been noted, results indicate that BI adoption is still at an initial stage, with the majority being classified in the lowest level of BI maturity. Significant factors that impact the levels of BI adoption are relative advantage, complexity, organisational resource availability, competitive pressure, vendor selection and owner-managers’ innovativeness. Results from the study can be used by government agencies to develop strategies to increase the rate of BI adoption among SMEs

IT vendors also can use the results to determine which SMEs they should target.

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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.

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