What is the process of complete data analysis

　　 In a large amount of data on the Internet , Data analysis solves problems , Using data to guide decision making . In a complete data analysis and landing process , In order , It can be divided into the following five steps ： Set goals 、 Data collection 、 Collating data , Analyze the data 、 Visual presentation .

　　1、 Set goals

　　 Before data analysis , We need to combine our business to determine what the goal of data analysis is , What are the measurable indicators , Split the indicators , Find the smallest unit of data that can be collected , This can be targeted for data analysis , Improve data operation efficiency , Avoid excessive data collection , Cause useless data to be wasted .

　　2、 Data collection

　　 When we set our goals , We need to collect targeted data , The collected data mentioned here includes the user's whole life cycle data collected through the buried point , It also includes the data collected online , Such as industry data report , It also includes manual sorting data obtained through access or telephone . As for the specific data used , It also depends on the goal of data analysis .

　　3、 Collating data

　　 After we collect the data , The data needs to be sorted out , In particular, there are many means to collect data , Such as buried point acquisition 、 Online collection 、 Manual sorting and other methods , Sometimes there is repetition 、 Disorder, etc , You need to sort out the data , Maximize the accuracy of the data .

　　4、 Analyze the data

　　 In the process of analyzing data , We should combine our own products , Select the appropriate data analysis model , If necessary , You need to define your own analysis model , Flexible use .

　　5、 Visual presentation

　　 As a data analyst , The results of data analysis often need to be reported to the leaders and the whole team , At this time, we need to visually present the data analysis results , Generally, it can be presented in the form of chart . Find out the business problems through data analysis , At the same time, put forward their own solutions , You don't just need to know what the problem is , You also need to know how to solve it .

　　 Data project analysis is a step-by-step process , Whether it's a data analysis project or a data product project , All need data analysts to have plans 、 Leader 、 organization 、 Ability to control project work .