ABSTRACT
Data-analytics processes are iterative and, most of the time, they evolve on an ongoing basis with changes at each and every step. Usually, there is nothing that can be called a typical cycle because specific situations will determine which steps will come earlier in the process and whether certain steps will be omitted from the cycle. Hence, the important steps in data analytics from organizations’ perspectives might be different. At each and every point in the development cycle for analytics, the entire process needs to revolve around the end user. Developing a system that is easy to use is more important than anything else.
