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Thousands of sails are competing in the industrial chain, opening up a trillion market space. Data in the big data industrial chain is the source, storage is the support, security is the guarantee, analysis is the core, and application is the realization of value.
01/ Platform logic architecture /
02/ Platform technical architecture /
03/ Data integration technology architecture /
01/ Internal data management analysis /
Enterprise management core and realization path：
Positioning of data analysis platform：
Demonstration of benefit accounting analysis：
Overall architecture planning：
02/ External data driven /
/ Overall Solution /
01/ Big data construction /
Building a data platform for digital analysis and decision-making
02/ System construction /
Building a standardized enterprise level analysis system
Standardization of analysis system: Build a set of standard system, including the definition of indicators, dimensions, statements and management responsibilities, so as to ensure the accuracy and preciseness of data.
Analysis system operation:Establish a complete data management process, from the cycle management of new modification / off shelf release, all changes must be confirmed by the corresponding responsible person before adjustment.
03/ Data guarantee /
Data quality control: The situation of data entry errors, abnormal data format, data standard problems, loss of data flow, abnormal ETL operation, etc. will all cause abnormalities in the final data display. Data quality control will timely find problems in advance, during and after the event, automatically give early warning and take the initiative to eliminate errors.
04/ Data integration/
The data of communication and integration of cross industry and system：
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