A project-based data analytics life cycle has five simple steps:
Identifying the problem
Designing data requirements
Pre-processing data
Performing data analysis
Visualizing data
This data analytics project life cycle was developed by Vignesh Prajapati. It doesn’t include the sixth phase, or what we have been referring to as the Act phase. However, it still covers a lot of the same steps as the life cycles we have already described. It begins with identifying the problem, preparing and processing data before analysis, and ends with data visualization.
For more information, refer to Understanding the data analytics project life cycle. http://pingax.com/understanding-data-analytics-project-life-cycle/