The invention belongs to an enterprise data intelligent analysis method, and specifically relates to a data analysis method based on model driving; the method comprises the following steps: 1, work preparation; 2, system defining; 3, data extraction; 4, data conversion; 5, data loading; 6, model designing; 7, model driving design. The advantages are that the data analysis method can fast and effectively process mass data.

Data analysis method based on model driving

The invention provides a large data system. The large data system comprises a more than one data base, a data extraction device and a data warehouse, wherein the data warehouse is used for storing business data of a user, the data warehouse is connected with more than one data base through the data extraction device, the data extraction device is used for extracting the data contents of more than one data base to obtain data meeting the format of the data warehouse, and transmitting the extracted and settled data into the data warehouse, and the data warehouse is used for analyzing and excavating the extracted and settled data, so as to obtain valuable data. A perfect large data system can be provided.

Large data system

The invention discloses a tobacco comprehensive information data processing and storing platform and a data processing method. The tobacco comprehensive information data processing and storage platform is used for extracting, processing and storing business data generated in the tobacco management process. The system is composed of a data import tool, a data preparation area, a data warehouse, a data market, a report database, a multi-dimensional analysis database, a mining database, an analysis tool, a management control tool and an information release system. The data processing method is used for importing and processing business data generated in a tobacco management process, and comprises a source data acquisition process; data cleaning and converting; Data import process. A more comprehensive business data management platform is provided for the tobacco industry, a more reasonable and high-quality data mining method, a data processing method and a data retrieval method are provided, mass data are more accurately presented to all units and relevant management and decision-making persons, and decision making and management execution and refined management are facilitated.

A tobacco comprehensive information data processing storage platform and a data processing method

The invention discloses a data organization method of data warehouse for controlling operation cost of a medicine enterprise. The data organization method provides decision support for cost control and warning of the enterprise. At present, the field of medicine enterprise operation cost control application is lacking in the data organization technology of the data warehouse. According to the data organization method, an operation cost checking system date base and other parts such as an accounting data base are taken as data sources, and operation cost control and warning service needs of the medicine enterprise are taken as backgrounds, by performing ETL pretreatment on the data warehouse and performing OLAP analyzing on a data mart, a multidimensional data model for controlling the operation cost of the medicine enterprise is set up. By utilization of the data organization method, the multidimensional data warehouse can be accurately organized with high efficiency, and therefore the decision support can be provided for operation cost control and warning of the medicine enterprise.

Zhao Zhouxing

Papers

Data organization method of data warehouse for controlling operation cost of medicine enterprise