1) business objective determination: it is the key to successfully complete any data mining project to make clear the purpose or objective of data mining. For example, the purpose of determining a project is to build a credit scoring model for personal housing loans.2) confirm data source identification: given the data mining business objectives, the next step is to find data that can solve and answer business problems. What we need to build a credit scoring model is a lot of information about customers. We should try to collect comprehensive information. The required data may be business data, data stored in database / data warehouse, or external data. If you don't have the data you need, data collection is the next necessary step.3) data collection: if the internal data of the bank can not meet the data needed to build the model, it needs to be collected from the external, mainly from the enterprises that collect demographic data, consumer credit history data, geographic variables, business characteristics and census data.