Free intelligent query, data warehouse, multidimensional analysis, data mining, decision support system.
Advanced design thinking. Using the ideas of decision theory in "Operations Research", a large number of decision analysis methods are implemented on computers. Make full use of the data in the database, and display the results of the analysis of the data in the database using decision theory scientific analysis methods to users flexibly, vividly, and vividly, so as to explore, discover, and mine the mutual constraints, universal laws, and special contradictions between data, and provide decision makers with a simple, intuitive, convenient, and flexible computer-aided decision-making design and analysis tool. ?Powerful analysis functions. A variety of data mining methods: data query, decision table (multidimensional analysis), comparison chart, distribution chart, decision design, trend prediction, drill analysis, dynamic chart (time expansion), elastic analysis, data investigation, correlation analysis, principal component method, canonical correlation, cluster analysis, Markov, data analysis, linear regression, neural network, hierarchical analysis, information theory entropy, gray association, association rules, cooperative countermeasures, confrontational countermeasures, risk decision-making, undecided decision-making, rough reasoning, input-output, etc. ?Open design technology. Any decision-maker can set any desired decision-making model for himself and others within a given scope of authority. ?Strict permission management. The data query scope of any user is strictly limited, and any decision-making query can only retrieve data within the scope of its own authority; however, when the archived decision-making query designed by it is used by other users, the system will automatically query the data within the query scope of the user. ?Convenient operation and use. It is a decision support system for ordinary users that integrates intelligent query, data warehouse, multi-dimensional analysis, data mining, expert system and auxiliary decision-making, and is implemented using the mouse.
System versatility:
It is applicable to almost any network (LAN and WAN) and database system; it is applicable to any organization.
Ease of operation
The design and statistical analysis of various decision-making analyzes can be completed with the mouse.
Flexibility of use
The conditions and results of decision-making queries can be set arbitrarily by the user with the mouse (sql statement).
Query data timeliness
Decision query is a SQL operation on the lowest level database, which ensures the timeliness of the results.
Query data details
Decision query is a SQL operation on the lowest level database, which ensures the detail of the results (each record).
Diversity in results presentation
The result display types include: data query, decision table, trend prediction, decision tree, dynamic graph, distribution graph, comparison graph, data investigation, data analysis, correlation analysis, elasticity analysis, input-output analysis, cluster analysis, principal component analysis, canonical correlation analysis, linear regression analysis, neural network, gray correlation analysis, association rules, decision theory, game theory and decision design, etc. (completely designed by ordinary users).
Flexibility in permission setting
One-time setting of user permissions at the system level; no need to consider permission issues at the user level.
Convenience of function expansion
The expansion of the decision query function is completely set by ordinary users according to actual conditions (non-software developers).
Ease of application development
It is enough to inform the system of the database structure and user permissions only once.
Useful
Useful
Useful