The premise of any data analysis is to understand the business model first, from how your financial data are generated, including which indicators and data, and why your analysis serves the business, that is, your purpose. For example, the purpose of analyzing financial data is to find out the most valuable financial products, or the most valuable customers, or to find the most effective cost-saving methods and so on.

After defining your analysis purpose and your business model, consider what data you need and what method to use for analysis, which involves how to carry out the specific analysis process.

From the perspective of the whole big data analysis, it takes more than half of the energy and time to understand the business and organize the data in the early stage, and the analysis in the early and late stages will be very fast.