Do you understand data modeling? Do you have questions: What is data modeling? What is the relationship between data modeling and data models?
Data modeling, in layman's terms, is the process of discovering, analyzing and determining data requirements. Represent and communicate these data requirements in the form of a data model.
So in the field of data analysis, what are the meanings of data modeling and data models?
1. Business model
The first meaning is business model. This model refers to understanding the entire process of business, that is, how business happens, how it generates value or makes money as far as a company is concerned.
Take the gym as an example, where does its traffic come from? Where do customers come from? Customers can be acquired through online and offline advertising and promotion. How do his customers convert? Monetization can be realized through the services of staff and the trial of equipment. How can we achieve a good connection between traffic and conversion? You can take them to the store to experience it for themselves through the invitation of the sales staff. After the
analysis is completed, we can understand a simple gym business model. Customers are obtained through online or offline advertising by operators, and then customers are invited to the store through the invitation of sales staff, and customers are monetized through the experience after arriving in the store. .
A business model usually includes four categories: people, things, finances and things.
2, BI model
The second type is to build table relationships or connections in the database or BI tool. Establishing links between several related tables allows us to better perform data analysis.
Let's take the BI tool DataFocus as an example. On the data table details page, through the fields in the table, you can associate store data tables from multiple channels and integrate the data in the table for search and analysis. The association types between
tables support full association, inner association, left join and right join. The
BI tool is often used by our data analysts when modeling, but the table structure modeling of the database is usually done by colleagues in the data warehouse or database management.
3, mathematical model
The third meaning is mathematical model, which refers to a model that can be calculated according to certain rules. For example, the scoring model we often use scores based on different dimensions to get a comprehensive score; there are also the RFM model, shopping basket analysis model, etc. that we are exposed to, which are all calculated to get the results we want.
Whether the results calculated by these models can solve business problems is what we need to focus on.
4, algorithm model
The fourth meaning is algorithm model, such as the recommendation system that we often come into contact with when shopping online and browsing the web. It will use a series of algorithms to recommend content that we may like based on our behavior. The algorithm model may use machine learning or artificial intelligence , but these contents are what data mining engineers need to master.
Although data mining is also based on business, data analysts prefer to directly affect the business, while data mining affects the business indirectly through models.
As a data analyst, we often use the first three models: business model, BI model and mathematical model. Of course, if you want to develop in technology, you can also try data mining and learn about algorithm models.
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