Boosting industrial decision making and business growth using improved data analytics model

Business growth is an area that the company is expanding and seeking opportunities to make more gains. The industry decision-making process is a step-by-step process that allows professionals to address challenges by weighing evidence, examining alternatives, and selecting a path. This certain method offers a chance to analyze whether the decision is right at the end of the day. In this paper, an Improved Data Analytics Model (IDAM) has been suggested to develop business and boost industrial decision-making. New industrialization strategies are poor in market acceptance. Data analytics describes a quantitative decision-making approach and allows a company to predict the customer's behavior, boost decision-making in general, and assess the return of marketing activities. By managing these aspects, the company can maintain its market share and grow into new territories. Data analytics offer better operating efficiency and higher sales with increased business growth. The proposed method analyzes data analytics's efficiency from providing greater market value, ensuring growth and investment. The graphical process has demonstrated the financial benefit of observations for market development using data analytics. As a result, IDAM helps industries increase revenues, enhance organizational effectiveness, optimize marketing strategies and endeavor customers.