Business workload identification and statistical counting method suitable for receptionists

Abstract

The invention discloses a business workload identification and statistical counting method suitable for receptionists. The method includes the steps of S1, mounting a browser plug-in module for monitoring data; responding to user's operation on the submit button even of a business system; transmitting data recording fields to a data processing module which comprises a receiving unit, a reading unit, a converting unit and a transmitting unit; S2, by a business statistical counting system, creating a statistical data set P{P1, P2......Pm}, wherein Pm=(T, Bm, i), i> / =0, and the initial value of all i in the statistical data set is 0. The method is real-time, accurate in statistical counting, and the like.

Description

technical field [0001] The invention relates to the field of data statistics, in particular to a business workload identification and statistics method suitable for front desk staff. Background technique [0002] In the business system, data statistics are the basis for business analysis. Each enterprise will use reports to record business, and will conduct statistics on different businesses from time to time to provide data support for the next plan; Employees perform performance evaluation; the current statistical methods are various, generally using manual statistical methods, and using tables to arrange the business, and then record the completion time and quantity on the table after completion, this method has many human errors, and the work The amount is large, and it cannot play an accurate statistical role; the other uses computer statistics. After the work is completed, it is checked and counted, and the accuracy is improved, but it does not have the function of rea...

AI Technical Summary

Problems solved by technology

[0002] In the business system, data statistics are the basis for business analysis. Each enterprise will use reports to record business, and will conduct statistics on different businesses from time to time to provide data support for the next plan; Employees perform performance evaluation; the current statistical methods are various, generally using manual statistical methods, and using tables to arrange the business, and then record the completion time and quantity on the table after completion, this method has many human errors, and the work The amount is large, and it cannot play an accurate statistical role; the other uses computer statistics, and after the work is completed, it is checked and counted, and the accuracy is improved, but it does not have the function of real-time statistics

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