Using Part of Business Analytics for Learning and Working

Abstract

The purpose of this study was to demonstrate some parts of business analysis, more specifically, to show the application of knowledge in business management and real-life situation. The research explores some aspects of business analysis, including enterprise management, foundations of business analysts, planning and monitoring, and data science statistics. Business analysis is a crucial discipline in the growth and development of business through implementing change. This paper covers the overview of business analysis and the application of knowledge in real life and business management. This brief demonstrates a summary of the business analysis programme, including the business analysis foundations and statistics for data science. The primary concepts outlined in business analysis foundations include business competencies, enterprise analysis, requirements, and solutions. Similarly, the paper covers statistics for data science, where vital concepts such as regression analysis, numerical and categorical variables, fundamentals, distribution, and hypothesis testing are presented. In addition, the analysis presents the most exciting discovery during the course elaborating on the birth and development of business analysis from the 1940s until today. Additionally, the paper covers the most crucial information presented in the course: business analysis application and its benefits in organizations. Also, it presents the application of business knowledge in daily life to define needs and solve problems. Furthermore, business analytics knowledge is applied during doctoral research and personal healthcare management. The brief covers the practical application of business analysis skills in large corporations such as Apple Inc., including big data analysis, HR management, communication, and manufacturing. Besides large corporations, business analytics skills apply in small companies in mitigating risks, operation analysis, and market analysis. Lastly, the paper demonstrates the practical application of knowledge in individual entrepreneurship, such as innovation analysis, revenue generation, system analysis, and mind mapping.