Intelligent decision-making support system for project management

Abstract

The invention provides an intelligent decision-making support system for project management and aims at helping a management layer to make enterprise decisions well and learn the operation situation of an enterprise timely. The intelligent decision-making support system can timely and accurately finish querying, journaling and analysis of required information through simple and intuitive operation and acquainted business languages, and assists users to make scientific decisions.

Description

technical field [0001] This application relates to information management technology, in particular to an intelligent decision support system for engineering project management. Background technique [0002] Business intelligence, referred to as BI (Business Intelligence), refers to making data available through the collection, management, analysis and transformation of data, so as to obtain the necessary insight and understanding, and better assist decision-making and guide actions. It is a tool that can help users make correct and wise decisions on their own business operations; use the data accumulated by enterprises to enhance their understanding of business conditions, help users make timely and correct judgments on business management and development, and then take sensible actions . [0003] In the early days of business intelligence development, with the construction of enterprise information, especially the popularization and application of ERP (Enterprise Resource...

AI Technical Summary

Problems solved by technology

Therefore, from the point of view of data utilization, the data stored in the ERP system has not been fully utilized except for "reference" and "tracking".

Moreover, the greater potential of the ERP system has not been brought into play, and the rapidly growing amount of data has even become a heavy burden on the system

[0005] From the perspective of the whole life cycle of data, the data in the ERP system records the life trajectory of the enterprise and implies the "secret" of the enterprise, but ERP has no means to identify it

Therefore, enterprises have only recovered part of the huge investment in ERP. The data accumulated by the ERP system is like an untapped gold mine, and ERP itself has no means of mining, which has become a great pity for traditional ERP.

[0006] In addition, the ERP database lacks an effective organization of historical data: ERP data is mainly real-time, lacking an effective structure for the accumulation of historical data and easy analysis and access

From the perspective of analysis and processing, analysis generally requires multi-table operations and long running time. If the existing data in the database of the ERP business system is directly used for decision-making analysis and reasoning, it will affect the efficiency of the OLTP of the ERP system and cause Busy network data transmission is even more difficult when direct access to historical data is required

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