Research Article Data Mining and Soft Computing in Business Model for Decision Support System Foziah Gazzawe and Ryan Alturki Department of Information Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia Correspondence should be addressed to Foziah Gazzawe; fhgazzawe@uqu.edu.sa Received 9 January 2022; Revised 18 March 2022; Accepted 31 March 2022; Published 12 April 2022 Academic Editor: Muhammad Usman Copyright © 2022 Foziah Gazzawe and Ryan Alturki. is 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. Several studies were taken to effectively determine the importance of data mining in business model development for decision support system. It was later discovered that most businesses have invested heavily in the data mining process which enables them to easily study and analyse the market environment and improve their domination in the market. Data mining is a process used by most firms to effectively collect information about certain topic. One factor that business model development usually focuses more on is the value of measurable performance and increased innovation in the market. e aim of the current research is to investigate the values and key roles played by data mining prospects in the business model development. It also revolves around current techniques used within business model development that are crucial in enhancing the position and competitiveness of a firm in the market. Although the data mining prowess varies in regards to the firm and effort used, the main concept remains on how to fully have the firm understand the effects and role played by data mining techniques in their overall business flow. In methodology, secondary sources are categorically used to enhance the overall flow of the study question by comparing them and analyzing them using the techniques provided. e results and analysis reveal that the effects of using data mining techniques are huge towards achieving success for various businesses. Moreover, the practical implications have categorically increased the notion of how influential the prospects of data mining can be when applied in businesses. 1. Introduction e value of measurable performance and increasing market innovation is one area that business model development normally focuses on. Data mining has been one of the most influential prospects that have enabled firms to effectively increase their output in the market. is prowess gives the firms a complete control of managing how their clients perceive their overall business functions making it easy for them to fully take over all controls that affect the clients. ere is also a huge difference that gives each firm applying this prospect to fully become adaptive in various schemes. Hence, when the market changes to reflect on other pros- pects that affects the society, it becomes easy to fully remain competitive without facing or undergoing any challenges of a breakdown or a fall in the business activities. erefore, through data mining, the firm can easily incorporate specific client goals and specifications. 2. Business Model Development A data mining is a process used by most firms to effectively collect information about certain topic. In most cases, these topics help firms to visionalize about their position in the market. Business models, according to the literature, can be regarded as “cognitive” gadgets, and their use necessitates the acquisition of extensive knowledge about customers, suppliers, and competitors. Recent experimental investiga- tions have shown that the use of data-mining technologies has a favorable impact on business models, boosting stra- tegic performance skills that drive competitive advantage. In research by [1] , the purpose was to strengthen studies on the Hindawi Scientific Programming Volume 2022, Article ID 9147444, 6 pages https://doi.org/10.1155/2022/9147444