Life cycle of data analytics

Data analytics life cycle consists of six stages to solve problems and taking better decision according to the data. Like data mining, analytics also follows a prescribed channel to handle the data. The phases include discovering the problem, preparing data, model planning, model building, visualization of results and operationalization (Poudel 2016) (Figure 2.4).