This is the most important stage of the life cycle. Each step in the lifecycle of data science described above needs to be worked carefully

Information or data is stored in raw format. The increasing the size of information has resulted in an increase in the need for conducting inspection, data cleansing and transformation, as well data modeling in order to get insights from the data to make better decision-making processes.