
In the modern era, data science and artificial intelligence are becoming indispensable for organizational success. Despite significant investments in cutting-edge technology and advanced analytics tools, a substantial percentage of data science projects fail. This issue arises as organizations strive to achieve anticipated returns on investment but fall short due to overlooked variables, particularly the human factor. Common Reasons for Project