A start-up is a company set in motion by an entrepreneur to explore, develop, and verify a scalable business model (Katila, Chen & Piezunka, 2012). Even though entrepreneurship assigns to new businesses, containing self-employment and businesses that never aim to become registered, start-ups assign to new businesses that aim to evolve beyond the solo founder. One of the principles of entrepreneurship is the ability to create new and useful ideas that solve human problems (Raghuvanshi, Agrawal & Ghosh, 2017). Entrepreneurs, especially when combining resources in new and different ways to gain a competitive advantage over competitors, can succeed in creating market value and improving financial and non-financial performance (Guzman & Kacperczyk, 2019). Meanwhile, the importance of Business Intelligence in today’s organizations is undeniable because they enable the ability to monitor market trends and movements of competitors and customers by providing information to companies (Wanda & Stian, 2015). It is important to study the impact of Business Intelligence on improving the learning and innovation capabilities of individuals in a start-up business that ultimately affects its financial performance
Villar, Alegre, and Pla-Barber, (2014) stated that Business Intelligence is an invaluable, and irreplaceable internal resource that helps start-up companies develop and expand their knowledge base for managers. Last (2013) has stated that the goal of Business Intelligence is to automate and integrate as many business steps and functions as possible. Recently, the implementation and deployment of Business Intelligence systems have become one of the main priorities of senior information managers of organizations. Business Intelligence can have a significant effect on the performance of a company and is therefore an important priority for many companies. Cutter Consortium Report (Hawking & Sellitto, 2010) survey of 142 companies found that 70 percent of respondent companies implemented data warehousing and Business Intelligence. However, Wagonfeld’s (O’Leary, 2011) study showed that a significant number of companies have failed to realize the expected benefits of Business Intelligence. Moss and Atre’s (2003) investigation showed that 60 percent of Business Intelligence projects have failed, or those that have been implemented have poor quality due to poor planning, poor project management, and unmet business needs. To establish a Business Intelligence system, five steps can be considered:
(a) Identifying the intelligent information required by the organization,
(b) Extracting and collecting data from existing information sources,
(c)Concentrating and organizing data in an information warehouse such as a data warehouse,
(d) Provide appropriate analytical tools and display results, and
(e) Perform operations (Chung & Tseng, 2012).
In their research, Man, Lau, and Chan (2002) showed that three characteristics affect the success of start-up businesses: internal factors, individual characteristics, and entrepreneurial characteristics. Using the factor analysis statistical method, Caseiro and Coelho (2019b) studied the success and failure factors of entrepreneurship. The results showed that from the perspective of entrepreneurs, corporate reputation and management (including honesty and social skills), and entrepreneurial personality traits are the most important factor for success. The most important problem was the tax system and the inability to maintain reliable staff. Hani (2021) used network analysis to prioritize the factors that affect the success of start-ups. These factors included global market trade, organizational culture, experience, education, industrial relation, government support, creativity, customer relationship, etc.
