Information analysis system supporting fine customer value management of stockbroking industry
A refined customer and information analysis technology, applied in data processing applications, electronic digital data processing, special data processing applications, etc., can solve problems such as single processing methods, weak key information control capabilities, and affect user trust, to improve Effectiveness of customer analysis and daily work efficiency, improvement of information response efficiency, effects of ensuring stability and scalability
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specific Embodiment 1
[0029] figure 1 Among them, the data source system uploads the data 1 provided by business systems such as securities brokerage transactions, accounts, and clearing to the data warehouse ODS layer 2 in the form of files, and the data retained in the ODS layer 2 is reorganized in the mode of subject domains , establish EDW layer 3, the data structure of EDW layer 3 is different from the data structure of the operating system, which isolates the impact of source system changes on analysis applications, thus ensuring data stability and scalability. According to the use requirements of the operation interface, the data summary layer DDW layer 4 is established. The DDW layer 4 pre-stores indicators that involve a large number of calculations and may affect the response speed, thereby improving the efficiency of information response. Access the data of the DDW layer 4 in the form of WEB, or through The interface obtains the data table or view of DDW layer 4, and analysts use OLAP so...
specific Embodiment 2
[0030] figure 1 Among them, the data source system uploads the data 1 provided by business systems such as securities brokerage transactions, accounts, and clearing to the data warehouse ODS layer 2 in the form of files, and the data retained in the ODS layer 2 is reorganized in the mode of subject domains , establish EDW layer 3, the data structure of EDW layer 3 is different from the data structure of the operating system, which isolates the impact of source system changes on analysis applications, thus ensuring data stability and scalability. According to the use requirements of the operation interface, the data summary layer DDW layer 4 is established. The DDW layer 4 pre-stores indicators that involve a large number of calculations and may affect the response speed, thereby improving the efficiency of information response. Access the data of the DDW layer 4 in the form of WEB, or through The interface obtains the data table or view of DDW layer 4, and analysts use OLAP so...
specific Embodiment 3
[0031] figure 1Among them, the data source system uploads the data 1 provided by business systems such as securities brokerage transactions, accounts, and clearing to the data warehouse ODS layer 2 in the form of files, and the data retained in the ODS layer 2 is reorganized in the mode of subject domains , establish EDW layer 3, set the data structure of EDW layer 3 to a data structure different from that of the operating system, and isolate the impact of source system changes on analysis applications, thereby ensuring data stability and scalability. Establish data summary DDW layer 4 according to the use requirements of the operation interface. DDW layer 4 pre-stores indicators that involve a large number of calculations and may affect the response speed, thereby improving the efficiency of information response. Access the data of DDW layer 4 in WEB mode, or through the interface After obtaining the data table or view of DDW layer 4, analysts use OLAP software technology to ...
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