Data acquisition, processing and analysis application method and device

Abstract

The invention provides a method and apparatus for data acquisition, processing, and analysis application including collecting and marking attribute information of a market research project or data collection project participant us; determining the level of each project participant user according to the attribute information of the project participant user and the weight value occupied by each attribute information; obtaining at least one type of data for a project input by a target project participant user whose level information satisfies a preset condition corresponding to the project for any research project or data acquisition project; the data being processed by a processing tool corresponding to each type or format of data, and the processing results being visually displayed. Thus, the mechanism of automatically identifying, processing, analyzing, and presenting different types of data input by eligible project participants through automatic recruitment, automatic screening, andbased on different data processing tools saves manpower and research costs, shortens operational cycles, and improves data quality.

Description

technical field [0001] The present application relates to the field of data collection, processing, and analysis application technologies, and in particular, relates to a data collection, processing, and analysis application method and device. Background technique [0002] In order to expand sales and market share, enterprises or brand merchants often conduct market research on products, service quality, shoppers and consumers, and understand and gain insight into the current situation and development trend of the market based on market research data, so as to help enterprises formulate and adjust in time Business strategy. [0003] In the traditional mode, the method or process for an enterprise to carry out market research is: the enterprise invests a lot of manpower, financial and material resources in various places to select, recruit and train project participants (including but not limited to project executives and research objects / respondents), and then It carries a ...

AI Technical Summary

Problems solved by technology

[0004] There are many drawbacks or pain points in the recruitment, selection, training, data collection or execution, and post-processing analysis of project participants (including but not limited to project executives and research objects / respondents) involved in the above traditional methods or processes: including But not limited to the low efficiency and low input and output of selecting and recruiting project participants, resulting in low professionalism, time-consuming, laborious, high cost, data distortion or even artificially fabricated data for fraud, etc.

As a result, data users or corporate customers complained or complained continuously, which also hindered the development and progress of the entire industry to a large extent.

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