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CN-121981261-A - Data analysis method, device, computer equipment and medium based on artificial intelligence

CN121981261ACN 121981261 ACN121981261 ACN 121981261ACN-121981261-A

Abstract

The application belongs to the technical field of artificial intelligence and relates to a data analysis method based on artificial intelligence, which comprises the steps of analyzing and processing attribution analysis problems input by a user based on an attribution context constructor to generate attribution analysis task description; the attribution analysis method comprises the steps of carrying out attribution calculation processing on attribution analysis task description based on an attribution algorithm engine to obtain attribution results, formatting and integrating the attribution results to obtain target attribution results, carrying out analysis processing on the target attribution results and attribution analysis problems based on a target large model to generate attribution analysis reports, and displaying the attribution analysis reports. The application also provides a data analysis device, computer equipment and a storage medium based on the artificial intelligence. In addition, the present application relates to blockchain technology, as analysis reports may be stored in the blockchain. The application can be applied to attribution analysis scenes in the fields of financial science and technology and digital medical treatment, improves the processing efficiency of attribution analysis, and ensures the accuracy of the generated attribution analysis report.

Inventors

  • QU XIAOYANG

Assignees

  • 平安科技（深圳）有限公司

Dates

Publication Date
20260505
Application Date
20260107

Claims (10)

  1. 1. A data analysis method based on artificial intelligence, comprising the steps of: receiving attribution analysis questions input by a user; Analyzing the attribution analysis problem based on a preset attribution context constructor to generate a structured attribution analysis task description; Carrying out attribution calculation processing on the attribution analysis task description based on a preset attribution algorithm engine to obtain a corresponding attribution result; formatting and sorting the attribution results to obtain corresponding target attribution results; Analyzing and processing the target attribution result and the attribution analysis problem based on a preset target big model, and generating a corresponding attribution analysis report; And carrying out display processing on the attribution analysis report.
  2. 2. The method for analyzing data based on artificial intelligence according to claim 1, wherein the step of generating a structured attribution analysis task description by analyzing the attribution analysis problem based on a preset attribution context constructor specifically comprises: based on the attribution context constructor, carrying out type recognition processing on the attribution analysis problem through a preset analysis rule to obtain a corresponding task type; Performing index analysis processing on the attribution analysis problem through a preset semantic understanding strategy to obtain a corresponding core index; performing main body analysis processing on the attribution analysis problem based on a preset entity identification strategy to obtain a corresponding comparison main body; Integrating the task type, the core index and the comparison subject to obtain corresponding integrated data; The integrated data is described as the attribution analysis task.
  3. 3. The artificial intelligence based data analysis method according to claim 1, wherein the step of performing attribution calculation processing on the attribution analysis task description by the preset attribution algorithm engine to obtain a corresponding attribution result specifically comprises: acquiring a corresponding task type and a core index from the attribution analysis task description, and calling a target contrast attribution module corresponding to the task type based on the attribution algorithm engine; Collecting service data corresponding to the core index; based on the attribution analysis task description, carrying out preset dimension drill-down attribution processing on the business data by using the target comparison attribution module to obtain a corresponding first attribution result, and Based on the attribution analysis task description, performing preset index factor attribution processing on the service data by using the target comparison attribution module to obtain a corresponding second attribution result; Integrating the first attribution result and the second attribution result to obtain a corresponding quantized attribution result; the quantified attribution result is taken as the attribution result.
  4. 4. The artificial intelligence based data analysis method according to claim 3, wherein the step of performing a preset index factor attribution process on the service data by using the target contrast attribution module based on the attribution analysis task description to obtain a corresponding second attribution result specifically comprises: analyzing the attribution analysis task description based on the target comparison attribution module, and determining a corresponding target attribution algorithm; Based on a preset mathematical relationship, disassembling the core index into a plurality of factors; extracting related data corresponding to each factor from the service data; Performing attribution calculation processing on the related data based on the target attribution algorithm to obtain a corresponding calculation result; And taking the calculation result as the second attribution result.
  5. 5. The artificial intelligence based data analysis method according to claim 1, wherein the step of analyzing the target attribution result and the attribution analysis problem based on a preset target big model to generate a corresponding attribution analysis report specifically comprises: invoking knowledge information corresponding to the attribution analysis problem from a preset service database; Extracting context information of the attribution analysis problem; carrying out fusion processing on the target attribution result, the knowledge information and the context information to obtain corresponding fusion information; carrying out report generation processing on the fusion information based on the target large model to obtain a corresponding initial analysis report; optimizing the initial analysis report based on a preset optimization strategy to obtain a corresponding target analysis report; The target analysis report is taken as the attribution analysis report.
  6. 6. The artificial intelligence based data analysis method according to claim 5, wherein the step of optimizing the initial analysis report based on a preset optimization strategy to obtain a corresponding target analysis report specifically comprises: performing content accuracy optimization processing on the initial analysis report to obtain a corresponding first analysis report; performing readability optimization processing on the first analysis report to obtain a corresponding second analysis report; performing practicability optimization processing on the second analysis report to obtain a corresponding third analysis report; And taking the third analysis report as the target analysis report.
  7. 7. The artificial intelligence based data analysis method according to claim 1, wherein the step of performing presentation processing on the attribution analysis report specifically comprises: acquiring the requirement information of the user; Determining a corresponding target display mode based on the demand information; acquiring a preset display optimization strategy; And based on the exhibition optimization strategy, carrying out exhibition processing on the attribution analysis report by using the target exhibition mode.
  8. 8. An artificial intelligence based data analysis device comprising: the receiving module is used for receiving the attribution analysis problem input by the user; the analysis module is used for carrying out analysis processing on the attribution analysis problem based on a preset attribution context constructor and generating a structured attribution analysis task description; the processing module is used for carrying out attribution calculation processing on the attribution analysis task description based on a preset attribution algorithm engine to obtain a corresponding attribution result; The arrangement module is used for formatting and arranging the attribution results to obtain corresponding target attribution results; the analysis module is used for analyzing and processing the target attribution result and the attribution analysis problem based on a preset target big model and generating a corresponding attribution analysis report; And the display module is used for displaying and processing the attribution analysis report.
  9. 9. A computer device comprising a memory having stored therein computer readable instructions which when executed implement the steps of the artificial intelligence based data analysis method of any of claims 1 to 7.
  10. 10. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the artificial intelligence based data analysis method of any of claims 1 to 7.

Description

Data analysis method, device, computer equipment and medium based on artificial intelligence Technical Field The application relates to the technical field of artificial intelligence, which can be applied to the fields of financial science and technology, digital medical treatment and the like, in particular to a data analysis method, a data analysis device, computer equipment and a storage medium based on artificial intelligence. Background In the field of business data analysis, attribution analysis is used as a key link for exploring the fluctuation reason of data, and plays a vital role in accurately grasping business conditions and making scientific decisions for enterprises. However, the current technical path for implementing automatic attribution analysis has significant drawbacks. The existing tools have extremely weak interpretation capability, and although attribution calculation can be completed by a professional algorithm, result interpretation depends on manual operation of a business expert. The process is complex and cumbersome, and end-to-end automation from problem extraction to insight acquisition cannot be achieved, so that accurate and comprehensive attribution analysis reports cannot be automatically generated. For example, in the field of financial insurance, an insurance company needs to perform attribution analysis on various business data fluctuations when performing risk assessment and business adjustment. In the conventional manner, after the algorithm calculates the cause of the data fluctuation, the business specialist needs to expend a lot of time and effort to read the result to determine whether the result is caused by factors such as market environment change, customer group feature change, or internal operation policy adjustment. The process is low in efficiency, subjective deviation possibly exists due to manual interpretation, accuracy of analysis results is affected, and timely and accurate adjustment of service strategies by insurance companies is not facilitated. In the medical field, similar problems are faced when hospitals perform attribution analysis on medical quality index data fluctuations. If the indexes of the patient such as the hospitalization time length and the operation success rate have abnormal fluctuation, after the algorithm is calculated in the prior art path, a medical expert is required to manually read the result, and whether the result is caused by the update of the medical technology, the change of the operation level of medical staff, or the different degree of complexity of the patient's illness state is judged. The manual interpretation-dependent mode cannot provide basis for hospital management decisions quickly and accurately, and the improvement and optimization of medical quality are affected. Therefore, a technology for realizing automatic attribution analysis and generating accurate reports is needed to improve the efficiency and accuracy of business data analysis. Disclosure of Invention The embodiment of the application aims to provide a data analysis method, a data analysis device, computer equipment and a storage medium based on artificial intelligence, so as to solve the technical problem that an accurate and comprehensive attribution analysis report cannot be automatically generated by the existing attribution analysis technology. In a first aspect, there is provided an artificial intelligence based data analysis method, comprising: receiving attribution analysis questions input by a user; Analyzing the attribution analysis problem based on a preset attribution context constructor to generate a structured attribution analysis task description; Carrying out attribution calculation processing on the attribution analysis task description based on a preset attribution algorithm engine to obtain a corresponding attribution result; formatting and sorting the attribution results to obtain corresponding target attribution results; Analyzing and processing the target attribution result and the attribution analysis problem based on a preset target big model, and generating a corresponding attribution analysis report; And carrying out display processing on the attribution analysis report. In a second aspect, there is provided an artificial intelligence based data analysis apparatus comprising: the receiving module is used for receiving the attribution analysis problem input by the user; the analysis module is used for carrying out analysis processing on the attribution analysis problem based on a preset attribution context constructor and generating a structured attribution analysis task description; the processing module is used for carrying out attribution calculation processing on the attribution analysis task description based on a preset attribution algorithm engine to obtain a corresponding attribution result; The arrangement module is used for formatting and arranging the attribution results to obtain corresponding target attribution