In recent years, Startups are new concepts in the tech world and are meant to be temporary organizations designed to find a repeatable, scalable business model, while offering a new solution to the problem. What matters most about the success of startups is the right and reasonable targeting. This is something that is usually overlooked by a large percentage of such businesses, causing them to fail within a short period of time. Production of new product or service delivery is not possible without planning. The purpose of this study is to look deeper into how startups should identify and prioritize issues and problems when launching a new product or service. First, startups and subject-related businesses reviewed and then novel and emerging issues, including the status of data mining on startups' performance, the topics of Business Intelligence (BI), innovation and networked learning, and also their role in startups business discussed. Results showed that BI can provide a competitive advantage to startups. With this in mind, these businesses may adapt to the diverse needs of customers in the market and continue to survive, as well as gain greater market share over their competitors. Further, employing technology tools helps companies make their data available seamlessly or securely and by analyzing it, giving managers a better way of making decisions. According to the hypotheses, it was found that BI as a powerful tool in the field of information technology, creates a competitive advantage and it is necessary for start-up managers to accept this tool.
Organizations, companies, and their environments are changing rapidly, fewer companies today behave traditionally, and most businesses have come to accept that continuous profitability alone does not mean survival and should be pursued (Goodyear et al., 2006). Competition and related tools, and in order to stay competitive in the market, they must learn new rules. Taking advantage of new opportunities and implementing effective strategies can bring a competitive market advantage and long-term sustainability (Kannan and Munday, 2018). Organizations and companies, when actively monitoring and monitoring the market, usually face inevitable changes, so they must always be properly prepared to respond to customer demand (Steeples and Jones, 2012).
Business intelligence is a set of methods, processes, and technologies used to turn raw data into meaningful results. There is always a deep gap between the information required by managers and the large amount of data that is collected during the daily operations of organizations in its various departments (Anders, 2018). Maybe some information is provided outside of operating systems and even outside the organization and through competitors’ information. Business intelligence uses large amounts of information to identify and develop new opportunities (Caseiro and Coelho, 2019). The maximum benefit of business intelligence is that it provides direct access to data to decision makers at all levels of the organization. In this way, decision makers will be able to interact with the data and analyze it and be able to better manage the business, discover opportunities and improve efficiency (Kurnia, 2018, Rahardja and Harahap, 2019). Business intelligence has been a priority for IT executives for the favorable circumstances for companies looking to advance their business (Liang and Liu, 2018).
This study seeks to enhance start-up businesses’ understanding of the impact of technology, specifically BI, on their business efficacy, and to assist research that seeks to understand the impact of this technology on such businesses. In this study, a total of six hypotheses were analyzed using descriptive and inferential statistical methods. The results of the hypothesis test are as follows:
• The characteristics of BI used affect the efficacy of start-up businesses.
• There is a significant relationship between innovation and start-up business performance.
• Network learning affects the efficacy of start-ups.
• The characteristics of business intelligence used influence the innovation of start-up businesses.
• The business intelligence features used influence the network learning of start-ups.
• There is a significant relationship between innovation and network learning in start-ups.
According to the studies conducted in testing the hypotheses of this research, it was found that business intelligence as a powerful tool in the field of information technology, creates a competitive advantage and it is necessary for start-up business managers to accept this tool and always in Active IT updates. In other words, the results of this study showed that information technology has become a