What Is Data Warehouse Mining?

Data warehouse and data mining are in our current network. In order to study data from sources such as network logs, network marketers need a large number of powerful and large-capacity morning databases, database management systems, and data modeling tools.

Data warehouse and data mining

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Data warehouse and data mining are in our current network. In order to study data from sources such as network logs, network marketers need a large number of powerful and large-capacity morning databases, database management systems, and data modeling tools.

In our current network, in order to study data from sources such as web logs, network marketers need a large number of powerful and large-capacity morning databases, database management systems, and data modeling tools.

Data warehouse is a technology that provides unified query for multiple distributed, heterogeneous databases. The data warehouse management system collects enterprise raw data and external data into a data warehouse. Based on this, through smooth, reasonable and comprehensive information management, end users can directly extract data from the data warehouse and analyze related data.

Data mining refers to the process of extracting valid and practical information from a large number of databases that has not been found before, and then using this information to help make key business decisions. Build your own large-scale data warehouse, apply data mining data to analyze customer information hidden in the data warehouse, and predict future trends by describing the past behavior of customers. In this way, we can not only achieve the purpose of reducing costs and improving customer relationships, but also focus on important and potential customers, formulate better market strategies, and increase awareness of competition.

Data mining technology can help enterprises in identifying key customers, mining potential customers, analyzing service pricing risks, and formulating cross-selling. It can also provide a scientific basis for companies to quickly make decisions in the fierce market competition.