In business setting, data analysis usually covers from descriptive to predictive, sometimes to causal. One caveat is that these are not mutually exclusive but gradually related levels of analysis, meaning that exploratory analysis is not possible without descriptive analysis and so on. Therefore, in order to perform well-known predictive analysis, you need to run descriptive and exploratory analysis first.
Higher level of analysis enables high level of usage. The Y axis of the above lists analytic applications, and the X axis shows the types of analysis. As we move to the right side of X axis, higher level of application becomes available. And machine learning is the key tool for data analysis. Many believe that machine learning is used for predictive or higher level of analysis but that is not true at all. There are a number of ML algorithms for low level analysis, such as most unsupervised ML algorithms.
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