A dynamic decision analysis method and terminal for power kanban

Abstract

The present invention relates to a dynamic decision analysis method and terminal for power kanban. Under the indicator management panel of the power billboard, the user's indicator click information is received, and an indicator analysis panel corresponding to the indicator click information is generated. The indicator analysis panel includes analysis links and mining results. The present invention combines the analysis panel and the management kanban into one, so that the user can flexibly switch between the analysis panel and the management kanban, which subverts the traditional BI, data visualization, and analytical information system construction ideas. As a management board, you can see the analysis link when you switch to the analysis panel, so that the management indicator board can be customized, analyzed, and rapidly formed, breaking through the limitations of traditional indicator boards that have fixed content, cannot be analyzed, and are mainly report-oriented. Thus, the decision-making level of electric power enterprises is improved, and it provides a guiding direction for the reform of electric power supply in the future.

Description

technical field [0001] The invention belongs to the technical field of data analysis, and in particular relates to a dynamic decision analysis method and terminal for power signage. Background technique [0002] Traditional Kanban is still in the stage of statistical analysis related to indicators based on structured data such as reports. It is better for single business analysis, but weaker for cross business analysis. For cross-business analysis, a large amount of human intervention is required for analysis and judgment, and there is a defect that effective information cannot be quickly identified; at the same time, many business reports are made too detailed and are standardized documents, which are easily affected by static tables and various chart types. Exaggerated, thus restricting the development of the data analysis industry from digitization to intelligence. [0003] In the existing kanban system, it is basically designed for analysis results and according to the ...

AI Technical Summary

Problems solved by technology

For cross-business analysis, a large amount of human intervention is required to analyze and judge, and there is a defect that effective information cannot be quickly identified; at the same time, many business reports are too detailed and are standardized documents, which are easy to be replaced by static tables and various types of charts. Exaggerated, thus restricting the development of the data analysis industry from digitization to intelligence

[0003] In the existing kanban systems, they are basically designed for the analysis results and in accordance with the "data (results) visualization" approach, mainly focusing on the static display of key indicators. Poor flexibility, individual needs need to be developed, long cycle, high cost, and poor response timeliness; the analysis process exists in the analyst's brain, and the level of analysis depends heavily on the analyst's personal thinking and analysis ability. It is a highly personal and artistic behavior, which is difficult to improve systematically and industrially, thus limiting the depth and breadth of business analysis and restricting the improvement of the data analysis industry level

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