① Determine the direction of data analysis. For example, analyze social data, e-commerce data, video data or search data.
② Confirm the data source. For example, from Tencent, from Baidu, from Alibaba, from physical stores.
(3) Data analyst, analyze the data you get.
④ Customers who need data analysis results. Without customers, you can't exist, because you can't live, and without money, everything is in vain.
So how to design a data analysis platform that conforms to the actual situation of enterprises and can solve practical problems?
1. The person in charge of platform construction needs to deeply understand each business requirement and know what kind of data each business department wants to see and what kind of analysis report it needs; Whether these data are available now and whether they need to be collected; Through the analysis of these data, how do business departments promote and improve their business, and whether it has the value of promotion.
2. The design of the platform needs to design the content that meets the needs of users according to the business requirements, and the products should have a hierarchy and structure. Because leaders and business people have different concerns, they look at data from different angles. Leaders often need some key indicators that can help them grasp the general direction, and they want to know what the problems are after these indicators. What is the reason? Therefore, the report designed for leaders needs to be intuitive and easy to understand, and can locate problems according to these indicators. Business people are more concerned about the execution of business, and the data they pay attention to are often very detailed, so they need to know the details of various indicators.
3. Data platform must pay attention to data quality, standardization and uniformity. Because the data analysis platform is oriented to all businesses, it is particularly difficult to ensure that all departments of the company have the same understanding of data. The data quality of the platform depends on the underlying data model of the data warehouse, so a good data warehouse largely determines the data quality of the data analysis platform.
4. Tool selection includes report platform and BI. This report platform is suitable for building a basic standardized data analysis platform. From the detailed report (tabular), project file, file filing, data report, data report and business theme analysis, all the demonstrations in this paper are made in FineReport, with emphasis on demonstration and report management. The tool selection of big data analysis can refer to the technical sharing article of Chengdu Jiamigu Big Data Training Institute.