Bank all-channel window service trace integration analysis method and system

Abstract

The invention relates to a bank all-channel window service trace integration analysis method and system, and the method comprises the following steps: (1) collecting and summarizing prompt informationof all channel window clients of a bank, and forming a standardized prompt information message; (2) analyzing the standardized prompt information message, including (21) performing prompt informationtraceability analysis, determining a problem traceability label of each piece of prompt information, and generating a traceability analysis table; (22) calculating the pop-up probability of the prompt information of the single transaction function, and determining a probability tracing table of the prompt information of the single transaction function in combination with the tracing analysis table; (23) analyzing cross-channel combined business efficiency; (24) determining the output rate of a single window of each outlet of the bank; and (25) determining an optimal service window combinationof each channel window of the bank outlet based on the number of the prompt information messages. Compared with the prior art, integration analysis of all channel windows of a bank is achieved, and abasis is provided for accurately improving the service level of banking outlets.

Description

technical field [0001] The invention relates to a bank data analysis and excavation method and system, in particular to a bank omni-channel window service trace integration analysis method and system. Background technique [0002] When the tellers at the counters of traditional outlets operate the counter business, they mainly assess performance such as business volume and business errors. With the drop in pressure on high-counter counters (counters that provide cash services), more counter business has been migrated to channels such as smart cabinets and handheld tablets. The original complete high cabinet business was split into multiple channels such as handheld PAD, smart cabinet and high cabinet, and then delivered to customers. The former high-counter tellers also walked out of the counter and entered the self-service area to assist customers in handling business. In this scenario, the branch tellers will face a variety of business handling modes: hand-held PAD and hi...

AI Technical Summary

Problems solved by technology

[0003] At present, the error reports, alarms, and prompt information of various systems are generated by various service systems (smart cabinets, ATMs, high and low cabinets, etc.), and most of the prompt information interacted with customers does not leave traces in the system, which is not conducive to prompt information Data collection and quantitative analysis

At the same time, the customer may complete a business across a variety of media devices (such as hand-held PAD pre-recording, delivery after re-recording of smart cabinets, or pre-recording of smart cabinets, delivery after re-recording of high-counter counters), and the prompt interaction information of various equipment service providers Each is independent, and the interactive reminder information in the whole process of customer delivery is not integrated in a chronological order, and there is no analysis and excavation of various customer-oriented reminder information after summarization

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