Data analysis starts with clean data inducted via good quality data architecture. Analysis is only purposeful when using data relevant to your strategy. Clear problems will be defined at the beginning of the data science process and analysis will be used to break these problems down, see how data can create a picture and then work to create conclusions, or insights. Insights can then be used to remodel/tweak existing models, or can be used to report on elements of a business.