In today's data-rich business age, the ability to extract functional meanings from the vast amounts of data generated is one of the most valuable achievements a company can make. However, despite the increasing recognition of data's importance, only a fraction of it is analyzed and utilized for improvement. With the immense volume of data available and limited time to analyze it, finding solutions for collecting, cleaning, organizing, and extracting information is not only significant but crucial for companies seeking to thrive in a competitive landscape. While data analysis can be approached using complex methods, in business, it is all about functional ways to improve performance across the board, rather than relying solely on cutting-edge technology or complexity.