Business data tracking processing system and method

Abstract

The invention discloses a business data tracking processing system and method and belongs to the field of business system technology. The system comprises a deployment center, a monitoring center and a data analysis and processing center. The method comprises the steps that data collection points are adopted to collect and obtain business data; the deployment center is adopted to write the business data as well as a first mark and a second mark corresponding to the business data into log data generated in corresponding business steps according to an information feedback link; the monitoring center is adopted to transmit the log data to the data analysis and processing center; and the data analysis and processing center is adopted to perform classification associated with business processes on the log data according to the first mark and perform sequential arrangement associated with the business steps on a plurality of pieces of log data belonging to the same business process according to the second mark, so that business information consistent with the information feedback link is formed and saved. The technical scheme has the advantages that the efficiency of checking problems of the business data is improved, and a specific problem causing a business anomaly is positioned accurately and quickly.

Description

technical field [0001] The invention relates to the technical field of business systems, in particular to a system and method for tracking and processing business data. Background technique [0002] With the diversification of business systems and the continuous emergence of business processes, various deployment schemes and program mechanisms are constantly evolving, resulting in an increase in the log output points of business processes. The existing method for online troubleshooting of business processes is mainly to manually extract online logs to the local, and then use a large file editor to search and find. The efficiency of this screening method is largely restricted by other factors such as the application process and the network. Its direct restrictive effect is that the efficiency of troubleshooting is low. At the same time, manual screening requires a lot of labor costs and time. It is also very low, and it is easy to make mistakes in positioning, which reduces ...

AI Technical Summary

Problems solved by technology

The efficiency of this screening method is largely restricted by other factors such as the application process and the network. Its direct restrictive effect is that the efficiency of troubleshooting is low. At the same time, manual screening requires a lot of labor costs and time. It is also very low, and it is easy to make positioning errors, which reduces the accuracy of troubleshooting

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