Challenges faced by small and medium size businesses implementing business intelligence system

The required competitive advantage, target market, competition, and finance are determined strategic decisions. Many organizations experience difficulties in decision-making. However, the Decision-support system (DSS), group decision-support systems (GDSS) and executive support system (ESS) which are examples of business intelligence systems help inefficient decision-making (Papachristodoulou, Koutsaki and Kirkos 2017, p. The DSS, GDSS, and ESS all rely on a computer support system to enhance the quality of decisions in organizations. Business Intelligence (BI) is a recent innovation and a leading concept in the business world today. A report by (Patten and Newhart, 2017) reveals that relevant information is crucial for the success of any business. Access to the right information builds the business capacity to grow and manage the growing customer demand and win them a market share.

Organization aggressiveness in the market can be enhanced by the application of business intelligence systems and analytics to obtain relevant information about their target customers process that data and store it for use in decision-making processes (Trieu 2017, p. Unfortunately, small and medium-sized firms usually face innumerable challenges in their attempt to seek to utilize big data for their market advantage. The main reason is a lack of knowledge and enough finances to apply the necessary techniques for the realization of the benefits accrued to data analytics. However, the critical problem facing the small and medium-sized companies is the inability to implement effective BI systems that are well-crafted for their businesses. According to Patten and Newhart (2017, p. 31), small organizations are often early adopters of technology and thus have a high chance of adopting new technologies such as BI and analytics.

However, the low success rates in such adoptions are causes of concern for many small organizations as they are unable to gain benefits realized by their larger counterparts. The many advantages presented by BI to an organization can only be achieved if the organization finds efficiency in the adoption and utilization of such technologies. The effective analysis of problematic instances and coming up with a solution by a team depends on a GDSS. Lastly, the ESS eases facilitates the retrieval of internal and external information which is relevant in decision-making. Moreover, ESS facilitates access to statistical information which is used by the executives in making important decisions of the organization. However, the use of an ESS is associated with the developer.

Besides, the ESS is designed to suit the individual needs of the organization using it. B. A critical review of the literature 1. Business Intelligence The concept can be defined as a set of mathematical models and analysis methods that exploits available data systematically to obtain relevant knowledge and information management necessary for making informed decisions in an organization. It can as well be acknowledged as a system combining collected data, information stored, as well as management knowledge with analytical tools that aid the presentation of complex and competitive data to the decision making the body of a firm and its planners. Business Intelligence helps executives by breaking down information from different sources invaluable easily applicable basic leadership strategic as well as the tactical level for normal utilization and functional planning of a business (Kurniawan, Gunawan, and Kurnia, 2014, p.

Small and medium-sized Enterprise (SMEs) There is no exclusive definition of these types' business premises. Different countries have different definitions of what a small and medium-sized business is. SMEs need to obtain data with speed and precision to survive in the market. It is thus vital for such businesses to successful aggregate information from multiple sources like networking sites. BI Adoption in SME The report has shown that a large number of SMEs focus on the level of system functionalities the inevitable access to data, customer requests responsiveness, the capability to manage various measures of information and usage when purchasing a cloud BI system. Limited funding resources and inadequate human capital is a major constraint to the small and medium-sized enterprises in their effort to invest in BI solution tools.

The research question was aimed at adopting innovative approaches for assessing as well as prioritizing the application of BI system to help SMEs management to prioritize the need of their customers as well as communicate with their fellow stakeholders in the application of Kano model The aims and intended outcomes of your proposed research This study will seek to establish the challenges that small and medium enterprises face when implementing business intelligence systems. To develop these challenges, the study will review and synthesize the literature on information systems to establish what is already known about the various problems of implementing BI systems, how well such information is known, and the gaps in the literature that might be established regarding the dynamics of such challenges in the modern business environment.

Another principal aim of this research is to establish the probable solutions that could be recommended for smalls and medium scale enterprises for observation during the implementation of BI systems. Solutions are critical to alleviating the high failure rates witnessed when implementing BI systems for small organizations. It is comprised of the attributes that have a proportionate influence on customer satisfaction. Attractive Quality It is also referred to as an exciting quality. It is comprised of characteristics that surprise as well as delight clients. They render high satisfaction when fulfilled, and otherwise if failed to be fulfilled, as the client never expects such feature on the products. They are as well never spoken by the customer in the voice of customer surveys.

The fulfillment of customer needs is vital for the survival of the business in the market. Fig1: The Kano Model (Barutçu, 2015, p. 4) Method Both primary and secondary data were applied in the analysis of the research study. The method that was used to gather primary data from the target population was interviewing. Owners of small and medium-sized businesses were identified at random and requested for participation in the interview questions of the study. D. Aydın. "An Analysis of M-Customer Satisfaction Drivers with Kano's Model. " 5th European Business Research Conference, Roma. Kurniawan, Y. & Newhart, M. , 2017, Understanding research methods: An overview of the essentials, Routledge. p. 34-47 Rahman, A. A. Theoretical Issues in Ergonomics Science, pp. Appendices Consent Form Student researcher(s): _________________________ Title of Project: Purpose of the project: Challenges faced by Small and Medium Size Businesses Implementing Business Intelligence System This is a humble request for your participation in my final project survey study interview question.