Systems, methods, and computer products that interpret, explain, and manipulate exceptions in multidimensional data. The present invention assists the data analyst by providing a simplified view of the multidimensional data that enables analysis of the important results of data exception exploration. Further, the preferred embodiment of the present invention incorporates the effect of density of the data along each dimension. The preferred embodiment of the present invention also provides the framework necessary to assign linguistic meaning to the exception for each dimension. This enables data analysis to obtain information about the value of the data that is present.
A system for editing the dimension structure associated with a data cube is revealed. The editing may be used to enforce given criteria on the cube. This includes modifying the cube in order to satisfy regulations requiring researchers to protect information about individuals, such as medical, genealogy and genetics records. The inference control methods disclosed therefore enable safe aggregated datasets to be released to researchers. When combined with information theoretic methods, the invention method of editing the dimension structures may be used to express clearly and discover correlations that exist in the dataset. This mining of the data and editing of the dimension structure allows the user of a simple multidimensional cube viewer to visually verify the patterns discovered.
A systemic logic method is used to convert objective and subjective data into meaningful business information. A graphical representation is created to allow the rapid and efficient comparison of the data generated, enabling the business analyst or decision maker to make and/or support decisions. The invention may used to identify strengths, vulnerabilities or opportunities for a business.
Systems, methods, and computer products that efficiently determine useful dimensions associated with a database when employing OLAP processing techniques. The present invention enables a user to see at a glance in which queries certain columns and tables are used. The present invention may be implemented with a query miner module that may include a query browser module that improves browsing through queries and their components over the past. The preferred embodiment of the present invention provides an easy to use graphical interface showing the queries, tables, and columns in a tree structure. Further, the preferred embodiment of the present invention presents information about relationships and dimensions associated with a database and about columns, tables, and queries to the user without discernable lag time between the user's request and the generated information.
A technique for navigating an index to access a subject multi-dimensional database stored on a data store connected to the computer. Initially, a deviations spreadsheet comprising cells is displayed. Then, upon user selection of a cell in the deviations spreadsheet, the selected cell is displayed in the subject multi-dimensional database.
Systems, methods, and computer products that efficiently determine how columns, tables, and queries associated with a database are related to each other. The present invention enables a user to see at a glance in which queries certain columns and tables are used. The present invention may be implemented with a query miner module that includes a query browser module that improves browsing through queries and their components over the past. The preferred embodiment of the present invention provides an easy to use graphical interface showing the queries, tables, and columns in a tree structure. Further, the preferred embodiment of the present invention presents information about relationships and dimensions associated with a database and about columns, tables, and queries to the user without discernable lag time between the user's request and the generated information.